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Published 6/2024 Created by Stone River eLearning , ITPROTV MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 33 Lectures ( 13h 10m ) | Size: 12.5 GB Certificate Exam Preparatory Course What you'll learn: Gain a comprehensive understanding of the core principles of DevOps Learn about advanced DevOps practices such as chaos engineering, exemplified by the Simian Army, and understand their role in enhancing system resilience and re Ensure thorough coverage of all topics specified in the EXIN DevOps Professional syllabus, aligning with the certification requirements. Apply theoretical knowledge to practical scenarios through case studies and real-world examples from leading organizations. Engage in simulated DevOps Professional certification exams to familiarize oneself with the exam format, types of questions, and exam strategies. Equip oneself with the necessary skills and knowledge required to successfully pass the DevOps Professional certification exam. Requirements: Basic Understanding of IT Operations and Software Development Familiarity with DevOps Concepts While these prerequisites provide a solid foundation, the course is designed to accommodate participants with varying levels of experience and knowledge in DevOps. It aims to equip individuals with the skills and certification readiness necessary to excel in DevOps-related roles and initiatives within their organizations. Description: This accredited series is meticulously crafted to align with the EXIN DevOps Professional syllabus, ensuring comprehensive coverage of essential DevOps concepts and principles. Participants will delve into the foundational elements of DevOps, including its core principles such as the Three Ways and innovative practices like the Simian Army. The course is structured to equip learners with practical knowledge and insights essential for understanding and implementing DevOps in real-world scenarios.Key Learning Objectives:DevOps Concepts and Principles: Gain a deep understanding of DevOps fundamentals, including the Three Ways philosophy (flow, feedback, and continuous experimentation & learning) and its application in optimizing software delivery processes.Innovative DevOps Practices: Explore advanced DevOps practices such as chaos engineering through the Simian Army, enabling participants to enhance system resilience and reliability.EXIN DevOps Professional Syllabus Coverage: Cover all topics specified in the EXIN DevOps Professional syllabus, ensuring alignment with certification requirements.Sample Exam Practice: Engage in simulated DevOps Professional certification exams to familiarize oneself with the exam format, types of questions, and time management strategies.Practical Application: Apply theoretical knowledge to practical scenarios, supported by case studies and real-world examples from leading organizations.Preparation for "Live" Exam: Prepare thoroughly for the official DevOps Professional certification exam through comprehensive study materials, guided practice, and exam-focused insights.This course is ideal for IT professionals, project managers, team leaders, architects, and anyone involved in software development and IT operations aiming to deepen their understanding of DevOps principles and practices. By the end of the series, participants will be well-prepared to tackle the DevOps Professional certification exam and leverage DevOps methodologies to drive efficiency, collaboration, and innovation within their organizations. Who this course is for: This course is designed to cater to both technical and managerial roles, providing foundational knowledge and practical insights essential for implementing and managing DevOps practices within diverse organizational contexts IT Managers and Directors DevOps Engineers Software Developers System Administrators Project and Program Managers Homepage

Published 6/2024 Created by Tunde Victor Olonitola MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 12 Lectures ( 3h 44m ) | Size: 2.51 GB Create Beautiful Graphics With Canva AI: Brand Your Content with AI-Generated high-quality Designs. Earn From Canva What you'll learn: Features and functionalities of Canva and ChatGPT, including AI-assisted text generation (Canva Magic Write), image and video creation, and presentation design. In-depth knowledge of using Canva AI to generate various types of content such as images, videos, texts, reels, thumbnails, banners, websites, and book covers. Techniques for generating powerful AI prompts across different niches to get creative and accurate responses. prompt engineering, various types of prompts Strategies to monetize Canva skills, including creating captivating animations, logos, and an action plan to start earning through creative projects. Professional editing skills using Canva for photo and video content without prior expertise. Requirements: The course is designed for individuals of all skill levels, with no specific prerequisites required. A willingness to learn and explore AI tools for design will enhance the learning experience, as the course covers everything from introductory concepts to advanced techniques in Canva and prompt engineering. Description: Launch the Power of AI in Design: Master Canva & ChatGPT! Ready to revolutionize your design process? Dive into our comprehensive Udemy course and discover how AI is reshaping creativity. Perfect for beginners and professionals alike, this hands-on journey introduces you to Canva's AI tools and ChatGPT, empowering you to create stunning visuals with ease. What You'll Learn:Harness Canva AI for effortless image, video, and presentation creation.Master ChatGPT for AI-assisted brainstorming and creative prompts.Design professional-grade graphics, websites, and animations.Monetize your skills with insider strategies for freelancing and entrepreneurship.Students enrolled in this course will learn these, and more:Utilizing AI Tools for Design:Introduction to AI tools like Canva and ChatGPT to simplify and enhance the design process.Features and functionalities of Canva, including AI-assisted text generation (Canva Magic Write), image and video creation, and presentation design.Mastering Advanced Canva Techniques:In-depth knowledge of using Canva AI to generate various types of content such as images, videos, texts, reels, thumbnails, banners, websites, and book covers.Practical skills in editing videos, designing websites, creating infographics, and adhering to copyright rules using Canva.Effective Prompt Engineering:Techniques for generating powerful AI prompts across different niches to get creative and accurate responses.Detailed understanding of prompt engineering, including various types of prompts and their applications.Monetization and Professional Editing:Professional editing skills using Canva for photo and video content without prior expertise.Strategies to monetize Canva skills, including creating captivating animations, logos, and an action plan to start earning through creative projects. Why Enroll? Learn from industry experts with practical, real-world examples and downloadable resources. Whether you're a marketer, entrepreneur, or creative enthusiast, this course equips you with the tools and knowledge to stand out in the digital landscape. Join thousands of satisfied learners who have transformed their creative potential with our course. Enroll today and unlock your path to design mastery! Don't wait-your creative breakthrough awaits. Enroll now and start designing with AI like never before! Who this course is for: This course is ideally suited for anyone interested in leveraging AI tools to enhance their design capabilities, regardless of prior experience. It caters to students, professionals, entrepreneurs, and hobbyists who want to streamline their design processes using platforms like Canva and AI assistants such as ChatGPT. Homepage

Published 6/2024 Created by Amit Shemesh MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 20 Lectures ( 3h 1m ) | Size: 2.63 GB Master Google My Business Easily with Our Complete AI-Driven Course for Top Google Maps Rankings and Automation What you'll learn: Learn to add your business to Google My Business step-by-step for optimal visibility on Google Maps Optimize your listing to enhance your business's position in Google Maps search results Use AI tools to promote your business easily, eliminating the need for content writers and designers Discover how to automate business promotion with AI tools, saving valuable time Master Google My Business features to attract, engage, and convert your ideal customers. Learn strategies to generate more reviews and boost your business's credibility Understand the top ranking factors for Google My Business to optimize your listing effectively. Gain the knowledge to secure a top-three spot on Google Maps and increase your visibility Requirements: No prior Google My Busines, SEO or digital marketing knowledge required Google Gmail account Description: Unlock the Full Potential of Google My Business and Google MapsEmbark on a transformative journey with our comprehensive course, specifically designed for entrepreneurs and business owners looking to dominate local search results on Google My Business and Google Maps. This course is crafted to guide you through every step of mastering Google My Business, starting from basic profile setup to advanced AI-driven marketing automation, all without needing prior technical knowledge.Begin with a Strong FoundationStart by creating an optimized Google My Business profile that stands out. Learn how to select the perfect categories, craft compelling business descriptions for Google Maps, and much more. This foundational knowledge paves the way for advanced strategies that will set you apart from the competition on both Google My Business and Google Maps.Embrace AI-Driven Marketing ToolsDive deep into the world of AI tools that simplify and amplify the effectiveness of your promotional efforts on Google Maps. You will learn how to use AI tools so that you no longer need to use content writers or graphic designers, thus making your work easier. Throughout the course, you will learn how to automate essential tasks such as posting updates, managing promotions, and maintaining your online reputation with minimal manual input on Google My Business and Google Maps.Boost Your Local SEO RankingsExplore techniques to enhance your local SEO for Google My Business and Google Maps. Understand the algorithms that influence local searches and implement targeted strategies to improve your visibility on Google Maps and attract more organic traffic.Transform Your Digital Marketing StrategyJoin us today to revolutionize your digital marketing tactics and gain the independence to manage your online presence like a pro on Google My Business and Google Maps! Who this course is for: Business owners and entrepreneurs who prefer to attract leads organically without extra costs Those looking for a clear, step-by-step course to quickly enhance their online presence Business owners and entrepreneurs eager to learn how to use AI tools for effortless business promotion Busy professionals who want to automate their business promotion, minimizing ongoing efforts Anyone interested in learning strategies to outperform their online competitors Homepage

Published 6/2024 Created by Azam Erdoğan MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 55 Lectures ( 11h 58m ) | Size: 12 GB 3D Garment vizualization with Marvelous,Zbrush, Blender and Substance Painter. What you'll learn: Preparation for garment making: Overview of programs and downloading necessary files. Introduction to Marvelous Designer: Learning the basics of pattern creation. Model simulation in Marvelous Designer and final touches in ZBrush. Rigging and UV editing in Blender. Painting models in Substance Painter and integrating into Second Life. High and low polygon modeling: Techniques for optimal performance using bake methods. Making simple underwear: Step-by-step creation process. Making a sweater: Techniques for realistic fabric simulation. Making pants: Pattern creation and detailing. Manual rigging without plugins: Detailed guide for rig creation. Using Avastar plugin for rigging: Recommended techniques. Creating double-sided garments from two separate objects. Advanced UV mapping: Techniques for detailed garment creation. Creating detailed lingerie using masking brush techniques in ZBrush. Garment refitting techniques: Methods for adapting to different avatars. Requirements: To enroll in the course, there are no prerequisites or requirements. This course is designed specifically for beginners, offering an opportunity to enter the world of clothing design and modeling without any prior experience. Throughout the course, you will learn all the necessary knowledge and skills step by step. Required tools and equipment will be provided during the course or will be easily accessible, allowing you to learn at your own pace. This course aims to lower barriers for newcomers and provide a welcoming starting point for learning. Description: Realistic Clothing Design for Second Life: A Comprehensive Guide from Start to FinishWelcome! I'm Azam, a 3D Artist and Instructor. Welcome to this comprehensive course on Clothing Design for Second Life! In this course, I will guide you through the process of creating unique and professional clothing that you can use in Second Life or sell in your marketplace.Throughout the course, we will be using powerful software such as Marvelous Designer, ZBrush, Blender, and Substance Painter. No prior knowledge of these programs is necessary, as I will explain every step in detail and in an easy-to-understand manner.This course will not only teach you technical skills but also how to manage the creative process and overcome challenges at each stage. You will learn how to create patterns and simulations in Marvelous Designer, detail and finalize your designs in ZBrush, rig and UV map in Blender, and apply realistic painting techniques in Substance Painter. By understanding the integration of these four programs, you will be able to create stunning clothing that reflects your unique style.During the course, you will design six different outfits, exploring various modeling and painting techniques. You will gain advanced skills such as combining high-polygon models with low-polygon models, creating double-sided and two-object garments, and learning how to create ancient world-inspired lingerie using ZBrush. Additionally, you will master basic UV mapping techniques.This course is ideal for anyone looking to improve their clothing design skills for Second Life. Covering all stages from beginner to advanced, this fun and informative journey will enable you to design professional-level clothing using your imagination.Let's embark on this creative adventure together and design clothing that makes a difference in Second Life! Who this course is for: This course is designed for individuals who are interested in learning the fundamentals of clothing design and digital modeling from scratch. It is ideal for; Those Interested in Opening a Virtual Store in Second Life: Ideal for individuals looking to operate a store in the virtual world by creating and selling their designs. Beginners in Clothing Design: Perfect for individuals with no prior experience in clothing design or digital modeling who wish to start from scratch. Aspiring Digital Artists: Suitable for those interested in exploring digital artistry through creating virtual clothing and accessories. Fashion Enthusiasts: Tailored for individuals passionate about fashion who want to enhance their skills in digital garment design. Aspiring Professionals in the Gaming and Film Industries: Beneficial for those aiming to work in the gaming or film industry and seeking foundational skills in digital garment modeling. Homepage

Published 6/2024 Created by Anuj Tyagi - Certified SFCC & AWS solution Architect MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 75 Lectures ( 9h 28m ) | Size: 6 GB Salesforce commerce cloud for developer - SFCC B2C What you'll learn: Gain expertise in advanced SFCC B2C e-commerce. Learn how to extend and customize Salesforce B2C effectively. Master all current architectures and frameworks available in SFCC like SFRA, OCAPI, Headless APIs Engage with practical demos and hands-on exercises in each module. Understand crucial topics relevant to developer certification through demons Requirements: Basic Knowledge of JavaScript: Students should have a foundational understanding of JavaScript, including variables, functions, and basic syntax. Completion of Basics of E-commerce Course: It is recommended to complete the "Basics of Ecommerce - Using Salesforce Commerce Cloud" course offered by us (Digipeeth) for a better understanding of e-commerce concepts covered in this course Description: This course is designed and developed for those who wants to do hands-on and practical training on B2C Salesforce Commerce cloud or SFCC. In this course we have covered all the modules necessary to build an ecommerce site using SFCC. Each module has couple of theoretical sessions, demos and real-life practical exercises based on scenarios. Introductory price only for first 30 days In this course, the following modules are covered but not limited to below topics only:1. Introduction - Explaining ,salesforce commerce cloud architecture, Difference between organization, sites & storefront, Local environment set up, deployment processes, practical exercise/demos on sites & storefront creation etc2. Data Extensions - Explaining how to extend salesforce data objects, configurations managements, creating new data objects, practical exercise/demos etc3. Cartridges & Plugins - Explaining difference between cartridges & plugins, core concept behind Cartridges , handling events, practical exercise/demos on cartridges, plugins, custom cartridges etc4. Code Extensions - Explaining SFRA architecture, how to extend/customize SFRA components , practical exercise/demos etc.5. APIs Integrations - Explaining how to integrate APIs like SOAP, REST , different types of Salesforce APIs(OCAPI / SCAPI) , configuration management , practical exercise/demos etc6. Miscellanous - Explaining other topics like transaction management, creating custom jobs / schedulers, custom marketing contents, how to handle Caching , practical exercise/demos etc. Who this course is for: Developers: Ideal for individuals with a development background looking to enhance their skills. Certification Seekers: Perfect for those aiming who want to prepare for the certificate SFCC Professionals: Specifically tailored for professionals working with Salesforce Commerce Cloud (SFCC) using Storefront Reference Architecture (SFRA), Open Commerce API (OCAPI), or headless APIs. Homepage

Published 6/2024 Created by Maven Analytics,Chris Bruehl MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 40 Lectures ( 1h 57m ) | Size: 614 MB Learn basic cloud technology for data science & analytics, and get to know key players like AWS, GCP, Azure & Snowflake What you'll learn: Learn why so many companies are leveraging cloud technology for data science & analytics Understand the basic use cases of cloud computing for different data roles (analysts, data scientists & data engineers) Compare the different types of cloud services (IaaS, PaaS, and SaaS) and cloud infrastructure (private, public & hybrid) Explore the similarities and differences between major players in the cloud landscape, including Amazon Web Services, Microsoft Azure & Google Cloud Demo real-world data analytics workflows using Azure, GCP, AWS and Snowflake Requirements: This is an entry-level course (no prerequisites) Some experience working with data is helpful, but not required Description: This course is a high-level introduction to the world of cloud computing.The cloud ecosystem has grown exponentially in recent years, now storing more than half of the world's corporate data. Yet most people who interact with cloud services are unaware of what's going on behind the scenes.In this course, we'll set the stage by defining what cloud computing means and why companies rely on it, draw comparisons against traditional on-premise computing, and explore how different types of data professionals interact with cloud technology.From there we'll dig into the core components of cloud architecture, compare different types of cloud services and infrastructure, and review important topics like security, virtualization, cost control, and more.Next, we'll explore the modern cloud landscape, and compare services offered by key players like AWS, Microsoft Azure, and Google Cloud. We'll introduce public and private cloud providers, data platforms and software products, and discuss how to mitigate the risk of vendor lock-in.Last but not least, we'll walk through unique demos and real-world use cases to showcase how you can begin to leverage these services as a data professional, including workflows built on AWS, Azure, GCP and Snowflake.COURSE OUTLINE:Cloud 101Introduce the basics of cloud computing, including what it is, why companies use it, and the way different data roles interact with itCloud ArchitectureUnderstand the core components of cloud computing and cloud infrastructure, as well as the types of cloud services and architectureThe Cloud LandscapeReview some of the major players in the cloud computing industry for data analytics, and compare their similarities and differencesCloud Data StacksDemo simple data analytics pipelines using combinations of cloud products and services (or "stacks"), including AWS, MySQL Workbench, GCP, Looker, Azure, Snowflake, and more__________Ready to dive in? Join today and get immediate, LIFETIME access to the following:2 hours of high-quality video4 real-world cloud demos & case studies3 course quizzesCloud Basics for Data Professionals ebook (50+ pages)Expert support and Q&A forum30-day Udemy satisfaction guaranteeWhether you're an analyst or data scientist interested in cloud computing or a business leader looking to learn about the cloud landscape, this course is for you.Happy learning!-Chris Bruehl (Data Science Expert & Lead Python Instructor, Maven Analytics) Who this course is for: Everyday people looking to build a basic understanding of cloud technology for data analytics Leaders looking to learn more about the cloud landscape and ecosystem Data professionals who want an introduction to modern cloud data stacks and workflows Anyone looking to get familiar with major cloud players like AWS, Azure, GCP and Snowflake Homepage

Published 6/2024 Created by Siri Subrahmanyam Vadlamani MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 44 Lectures ( 3h 5m ) | Size: 909 MB Master the skill of designing current sensing techniques in power electronics! What you'll learn: Importance of Current Information, Sensing vs Measurement, Voltage Sensing vs Current Sensing, Current Sensing Techniques Introduction to Sense Resistor, Sense Resistor Selection Parameters, Design Example Kelvin Sense or 4-Terminal Sensing, PCB Trace as Sense Resistor, Lead Frame as Sense Resistor MOSFET's Channel Resistance as Sense Resistor, Inductor's DCR as Sense Resistor, Sense-FET Current Sense Technology Introduction to Magnetics Circuits, Magnetic Circuit jargons, Ampere's Law, Faraday's Law, Relationship between Electric and Magnetic Domain Volt-Second Balance, Inductance and its Energy Storage, Area-Product, Introduction to Transformers Introduction to Current Transformer, Equivalent Model, Advantages and Disadvantages, CT Design Procedure, Design Example, DC Current Transformers Introduction to Rogowski Coil, Advantages and Disadvantages Introduction to Hall Effect, Types of Hall Sensors, Advantages and Disadvantages Flux Concentrators, Closed Aperture and Clamp Split Core Type, Zero-Flux Technique or Closed-loop Operation Introduction to Flux-Gate, Advantages and Disadvantages, Zero-Flux Technique or Closed-loop Operation Introduction to Time Constant based Current Sensing Optimal Current Sensor Placement in Non-isolated Converters, Optimal Current Sensor Placement in Isolated Converters Current Sensing Technique Selection Procedure for any given application, Summary of all the Current Sensing Techniques Discussed in this Course Requirements: Basic Understanding of Electrical Engineering Principles - Voltage, Current, Power, etc. Circuit Analysis using KCL, KVL, Linear Circuits Basics of Algebra Genuine Interest in the Subject Matter Description: Hello there!Welcome to my course titled "Current Sensing Techniques in Power Electronics"This comprehensive three-hour course optimizes learning by offering a detailed understanding of various current sensing techniques in power electronics circuits. By bridging theory and practical applications, students save time by gaining hands-on experience, directly applying concepts to real-world scenarios, and significantly accelerating their learning curve.The detailed course curriculum is highlighted below:Module 1: Introduction to Current Sensing TechniquesThis module establishes the necessary context required to understand current sensing techniques and provides an overview of various current sensing techniques adopted in power electronics applications.Module 2: Sense Resistor based Current SensingThis module explores the sense resistor-based current sensing technique, including its selection parameters and associated processes, along with a design exampleModule 3: Improvements in Sense Resistor based Current SensingThis module delves into various improvements in sense resistor-based current sensing techniques, including Kelvin sensing, PCB trace as a sense resistor, lead frame as a sense resistor, MOSFET on-state resistance as a sense resistor, inductor DCR-based current sensing, and sense-FET-based current sensingModule 4: Fundamentals of MagneticsThis module establishes the fundamental concepts of magnetism necessary to understand non-intrusive current sensing methodsModule 5: Current Transformer based SensingThis module discusses the design and development of current transformer-based current sensing, along with its advantages and disadvantages, and provides a design exampleModule 6: Rogowski Coil based Current SensingThis module explores Rogowski coil-based current sensing, along with its advantages and disadvantagesModule 7: Hall Sensor based Current SensingThis module guides you through the principles of the Hall effect, the types of Hall sensors, their advantages and disadvantages, flux concentrators, and their closed-loop operationModule 8: Flux-Gate based Current SensingThis module explores flux-gate-based current sensing along with its advantages and disadvantagesModule 9: Time Constant based Current SensingThis module discusses the time constant-based current sensing technique that is employed in many power convertersModule 10: Current Sensor PlacementThis module details various current sensor placement options in both isolated and non-isolated converters, along with the advantages and disadvantages associated with eachModule 11: Current Sensing Technique Selection ProcedureThis module highlights the detailed, step-by-step procedure for choosing the appropriate current sensing solution for any applicationModule 12: ConclusionThis module concludes our journey together, along with many referencesSkills developed from this course:In-depth Understanding:Develop a profound knowledge of current sensing techniques and their myriad applications.Practical Application Proficiency:Apply theoretical knowledge to enhance problem-solving abilities in real-world scenarios.Critical Decision-Making and Design Skills:Master the art of informed decision-making in current sensing technology selection and circuit design based on specific requirements and performance expectations.Enroll in this transformative course to become proficient in current sensing techniques, empowering yourself with the skills essential for excelling in power circuit design and analysis.We look forward to your participation! Who this course is for: Engineering students pursuing their bachelor's or master's degree Power electronics designers, analog circuit design and application engineers Industry professionals working on design and control of power converters All power electronics and circuit design enthusiasts Anyone preparing for power electronics interviews, and seeking a quick revision Homepage

Published 6/2024 Created by Chris Dangerfield MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 54 Lectures ( 6h 13m ) | Size: 3 GB Learn core features and concepts, plus gain practical experience of interacting with and building on the XRP ledger What you'll learn: Understand the fundamental principles of blockchain technology Learn about the XRP Ledger's history as well as its bright future Gain a robust theoretical understanding of the XRP ledger features and core concepts Build a real project that will give you experience of working with the XRP ledger Learn all about the XRP ledger infrastructure, including setting up your own node Requirements: Development experience is highly recommended Some experience of javascript will be helpful Description: This is Stage 1 of "The complete XRP ledger developer bootcamp".In this course, I will teach you the fundamentals of how to build on the XRP ledger from the ground up, using a combination of theory and practical coding tutorials to dive deep into the core features you must know in order to build real-world applications on the XRP ledger.This course assumes you have no previous knowledge or experience with the XRP ledger, making it perfect for beginners who are eager to explore the world of blockchain and crypto development. You'll learn how the XRP ledger stands out among other blockchains, focusing on its unique consensus algorithm and high transaction speed.We will start with the basics of blockchain technology. Then we will learn about the core features and concepts of the XRP ledger and get into the basics of XRP ledger development, before building a fully functional wallet using react.js. We will end stage 1 with a detailed look at XRP ledger infrastructure, including a step-by-step guide to setting up and running your own node.By the end of this course, you'll not only have a robust theoretical understanding of the XRP ledger but also practical experience of interacting with its many diverse features.Whether you're a developer, entrepreneur, or blockchain enthusiast, this course will equip you with the foundational knowledge and skills to confidently build on the XRP ledger.Enrol now! and you'll be interacting with the XRP ledger (using code) in less than 15 minutes! Who this course is for: Developers who want to learn how to build on the XRP ledger Entrepreneurs and enthusiasts interested in learning more about the theory of the XRP ledger Homepage

Published 6/2024 Created by Henry Habib,The Intelligent Worker MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 37 Lectures ( 4h 8m ) | Size: 2.85 GB Masterclass | Build Gen AI Apps | AI-Powered Customer Automations | Transform Business Workflows with LLMs ChatGPT What you'll learn: Build AI applications, automations, and solutions from scratch, without any technical knowledge Master MindStudio, a no-code platform used by businesses to create and deploy Gen AI applications and automated workflows Implement various MindStudio building blocks such as chat functionalities, user input handling, and data querying Build complete AI applications like customer service chatbots and HR job bots. Integrate Gen AI into Customer Success Workflows by building bespoke AI apps (i.e., a customer service chat bot and workflow) Requirements: A free MindStudio account Willingness to learn about AI application development Come hungry to learn Description: Integrating Gen AI into your business workflows make you more productive - there is no question about that. However, this is very difficult to do without knowing how to code. The best person to automate workflows is the business owner itself (not a development or IT team). A big area where Generative AI can really make an impact are Customer Success Workflows. These can include personalized customer experiences, automation of routine tasks, and improved productivity. However, customer success managers typically do not have the technical chops to create automations with Gen AI. That's the problem that MindStudio solves.MindStudio is a platform to enable businesses to create and deploy customized Gen AI powered applications, automations, and solutions. The MindStudio platform lets anyone without any technical know-how create amazing bespoke applications by leveraging visual workflows and simple text. MindStudio is LLM agnostic and these apps can be extended through Zapier. This is the complete masterclass to MindStudio - we take you through all the building blocks needed to create sophisticated bespoke AI apps, and then use all these tools to build two full AI applications.Learn from more than 4 hours of relevant instructional video content, with the only course that will teach you how to build AI apps with MindStudio. We even create two full AI apps from scratch.What is MindStudio?MindStudio is a platform to enable businesses to create and deploy customized Gen AI powered applications, automations, and solutions. Think of MindStudio is a no-code AI application development environment for your business. For example, you can create an AI app that your employees can use to book their vacations, thus improving productivity for your HR organization. What makes MindStudio different?No-code - no technical knowledge is needed to create sophisticated AI appsLLM agnostic - you can use any underlying LLM (GPT-4o, Mistral, Anthropic, etc.)Customized - MindStudio gives you all the tools you need to create something bespoke (user inputs, workflow logic, etc.)Extensible - Integrate MindStudio into other apps (e.g., Airtable) through custom functions or ZapierEnterprise Ready - Full SLA, SSO, compliance, and auditingHow can MindStudio help with automating Customer Success Workflows?It can automate routine tasks such as customer onboarding, follow-ups, and support ticket management, ensuring timely and consistent communication with clientsIt can personalize customer interactions by analyzing data to tailor recommendations and solutions, ultimately improving customer satisfaction and retention while freeing up Customer Success teams to focus on more strategic activitiesWhat is this course all about?This course is the complete guide to MindStudio. Whether you want to streamline operations, enhance customer engagement, or innovate your product offerings, this is your all-in-one guide to creating bespoke AI-powered solutions without needing any technical expertise.What will you learn?Everything you need to know about MindStudio, including:Create bespoke AI applications that boost your and your company's productivityUse all of the key features in Mindstudio, including querying data sources, workflow logic, getting user inputs, and integrating other appsBuild two complete end-to-end AI applications (an internal HR bot and a customer service chatbot)Why choose this course?Comprehensive: This course covers everything from the basics to advanced applications, ensuring you have all the knowledge you need in one place.Practical and hands-on: We focus on actionable insights and real-world application building, not just theory.Personalized support: I'm here to help you every step of the way, with dedicated resources and responsive support.Course Overview:Introduction - This section introduces MindStudio, providing an overview of its purpose, pricing, and features. It also outlines the course structure, including instructional details and a roadmap of what will be covered throughout the course.Create your first AI App - Learn to establish a foundation by creating a MindStudio account, exploring the workspace and editor, and mastering the process of creating and publishing AI apps from scratch.Building Blocks - Dive into the core components of AI app development in MindStudio, covering chat functionalities, correct prompting, sending messages, handling various types of user inputs (short text, text choice, file upload), utilizing data sources with RAG, querying data, configuring model settings and profilers, implementing custom functions within workflows, utilizing logic blocks, setting up menus, managing app settings, and publishing apps while exploring extensibility with Zapier. Also included are detailed sessions on Terminator for document revision, data exploration, and implementing conditional logic.Complete AI App Builds - Apply your knowledge to build complete AI applications, including customer service booking and chatbots, as well as an internal HR Job bot.Conclusion - Wrap up the course with congratulations on completing the journey through MindStudio, and guidance on next steps for further exploration and development within the platform. Who this course is for: Professionals like Customer Success Managers who are responsible for ensuring customer satisfaction and retention and who want to leverage Gen AI to automate workflows Businesses that want to leverage Gen AI to be more productive by automating workflows and building Gen AI apps Individuals who are passionate about Gen AI who want to expand their knowledge and skills in practical AI application development Analysts focused on improving business processes can use MindStudio to rapidly automate workflows This course is for individuals who want to learn AI application development using a no-code tool like MindStudio Homepage

Published 6/2024 Created by 247 Learning MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 128 Lectures ( 8h 58m ) | Size: 2.1 GB Explore Python, Pandas, Machine Learning Models; Train and deploy ML Model via a web app What you'll learn: Understand the fundamental concepts of data science. Install Python and set up a development environment on Windows and macOS. Understand the concept of virtual environments and create/manage them. Recognize the applications and industry impact of data science. Differentiate between structured and unstructured data. Familiarize with Jupyter Notebook and use it for interactive data analysis. Explore and manipulate data using Pandas DataFrames Create and manipulate Pandas Series for efficient data handling. Load datasets into Pandas and perform initial data inspection and cleaning. Transform and analyze data using Pandas methods. Visualize data using Matplotlib and Seaborn for insights and reporting. Understand supervised, unsupervised, and reinforcement learning techniques. Preprocess data for machine learning models, including handling missing values and encoding categorical variables. Build, train, and evaluate machine learning models using scikit-learn. Measure model performance using metrics like accuracy, confusion matrix, and classification report. Deploy a machine learning model for real-time predictions and understand model interpretability techniques. Requirements: Comfortable using a computer and navigating operating systems (Windows, macOS). Understanding of file management, such as creating, saving, and organizing files. No prior programming experience required, but familiarity with the basics of programming concepts (e.g., variables, loops, conditional statements) is beneficial. Access to a computer with internet connectivity. Ability to install software, including Python and necessary libraries (installation instructions will be provided). Willingness to learn and explore new tools and technologies (e.g., Jupyter Notebook). Description: In today's data-driven world, the ability to harness and interpret data is not just a valuable skill but a crucial advantage. Whether you're an aspiring data scientist, a seasoned professional looking to expand your skill set, or an entrepreneur aiming to leverage data for strategic decisions, our comprehensive course on data science offers a transformative learning experience.Course OverviewOur course begins with a foundational exploration of data science, introducing you to its principles and importance in various industries. You'll delve into the distinctions between data science, data engineering, and data analysis, gaining a clear understanding of their respective roles and applications. Through real-world case studies and examples, you'll discover how data science drives innovation and impacts decision-making processes across different sectors.Essential Tools and TechnologiesTo equip you with the tools needed for effective data analysis, the course covers essential programming languages such as Python . Whether you're manipulating data with Pandas, performing numerical operations with NumPy, or creating insightful visualizations with Matplotlib and Seaborn, you'll develop a versatile skill set that forms the backbone of data science projects.Practical Skills DevelopmentA significant focus of the course is hands-on learning.  You'll gain practical experience in gathering, cleaning, and analyzing data from diverse sources.  You'll hone your ability to transform raw data into actionable insights that drive business decisions.Environment Setup and Best PracticesNavigating the data science environment can be daunting, especially for beginners. That's why we guide you through the setup of Python and Jupyter Notebook on both Windows and macOS, ensuring you're equipped with the right tools from the start. You'll learn to create and manage virtual environments, enhancing your ability to work efficiently and maintain project dependencies.Data Manipulation and Visualization MasteryCentral to effective data science is the ability to manipulate and visualize data effectively. Our course provides in-depth training in Pandas, where you'll learn to handle complex datasets, perform data transformations, and conduct exploratory data analysis. Through immersive visualization exercises, you'll discover how to communicate insights visually, making complex data accessible and actionable.Machine Learning FundamentalsUnderstanding machine learning is essential for any aspiring data scientist. You'll explore supervised, unsupervised, and reinforcement learning techniques, applying them to real-world datasets. From preprocessing data to training and evaluating machine learning models, you'll develop the skills needed to predict outcomes and optimize performance in various scenarios.Real-world Applications and ProjectsThroughout the course, you'll apply your newfound knowledge to practical projects that simulate real-world challenges. Whether it's predicting house prices using regression models or building a web app for interactive data analysis, these projects provide a platform to showcase your skills and build a professional portfolio.Career Readiness and SupportBeyond technical skills, we prepare you for success in the competitive field of data science. You'll learn to interpret model performance metrics like accuracy and precision, communicate findings effectively through tools like the confusion matrix and classification reports, and understand the ethical implications of data-driven decisions.Who Should Enroll?This course is designed for anyone eager to embark on a journey into data science or enhance their existing skills:Aspiring Data Scientists: Individuals looking to break into the field and build a strong foundation in data analysis and machine learning.Professionals Seeking Career Advancement: Data analysts, engineers, and professionals from diverse industries seeking to expand their skill set and transition into data-driven roles.Entrepreneurs and Business Owners: Leaders interested in leveraging data science to drive strategic decisions and gain a competitive edge in their industry.Curious Learners: Enthusiasts with a passion for data-driven insights and a desire to understand the transformative potential of data science in today's world.ConclusionBy the end of this course, you'll have gained the confidence and skills needed to tackle complex data challenges with proficiency and precision. Whether you're looking to pivot your career, enhance your business acumen, or simply satisfy your curiosity about data science, our comprehensive curriculum and hands-on approach will empower you to unlock the power of data and chart your path to success.Enroll today and embark on your journey to mastering data science-one insightful discovery at a time. Who this course is for: Aspiring Data Scientists: Those looking to break into the field of data science and acquire a solid foundation in essential concepts, tools, and techniques. Students and Graduates: University students or recent graduates aiming to supplement their academic knowledge with practical, real-world skills in data analysis and machine learning. Professionals Transitioning Careers: Individuals from diverse professional backgrounds (e.g., IT, finance, healthcare) interested in transitioning into data-driven roles. Data Analysts and Engineers: Professionals already working in related fields who wish to expand their skill set and deepen their understanding of data manipulation, visualization, and predictive modeling. Entrepreneurs and Business Owners: Those seeking to leverage data science to drive business decisions, optimize processes, and gain a competitive edge in their industries. Anyone Curious About Data Science: Enthusiasts with a curiosity for data-driven insights and a desire to understand how data science shapes various aspects of modern life. Homepage

Last updated 6/2024 Created by Andreas Exadaktylos MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 101 Lectures ( 9h 15m ) | Size: 4.1 GB Become a proficient Excel Macros and Excel VBA Programmer in very short time. 2024 UPDATED What you'll learn: Create and Modify Macros in Excel Understand VBA and create your first piece of code The course is full of code examples that you can use straight away Become a proficient Excel Macro and VBA Programmer in a very short time Know the difference between Macros and VBA Choose the right Loop for each task Learn Automation secrets in Excel VBA Follow along with included Excel project files Learn from an instructor with over 24 years of experience with Microsoft Excel, teaching thousands of students in his own computer learning school Learn the most current version of Microsoft Excel Course updated regularly An instructor ready to answer your questions in less than 24 hours Watch high-quality video lectures with lifetime access Quizzes and exercises Certificate of completion Requirements: Only basic prior experience in Microsoft Excel or spreadsheets is required to get the most out of this Excel course. Break your tasks down into small parts. The more you practice the better you become This course was recorded with Excel 2016 but it's also compatible with Excel 2007, 2010 and 2013 It is also compatible with Microsoft Office for Mac Description: COMPLETELY REDONE ON JANUARY 2024 WITH NEW VIDEOS!Become a proficient Excel Macros & VBA Programmer in a very short time.Excel VBA is powerful. Everybody wants to learn Excel Macros and VBA. They can make Excel work like magic. But most Excel users never use them. Others spend several days on a multi-hour course or working through a 1000-page book, getting overwhelmed with information. So why waste a great deal of time learning things you may never use? In this course, my goal is to help you learn ways to create Excel Macros that won't burst your brain. Also to convey the main principles of VBA language and allow beginners, taking their first steps, to learn without requiring individual training.Content and overviewA macro is a sequence of instructions that automates some aspects of Excel so that you can work more efficiently and with fewer Errors. Macros are written in VBA, which stands for Visual Basic for Applications, which is a programming language developed by Microsoft.If you think Excel VBA programmers are smarter or more gifted than you, then you're mistaken. Yes, macros can be intimidating, and yes, programming is a huge topic. If you saw a course on Excel programming with hundreds of lectures, would you really watch all of them?But wait a minute. What about people who may not have a programming background but aspire to reap the utmost from the program? Are there any programming principles and well-guarded secrets that you can learn and use to create any Macros you want? In this course, you will find several short, to-the-point lectures covering Excel Macros and VBA entertaining and accessible to non-techies. The goal is not to make you a star Excel programmer. If you want to be that, go for it! But I'll give you some best practices and make this course extremely practical. After all, you are not a programmer, you just need to write an Excel Macro to help you get your work done.Why is this course different? It's super practical. Free downloadable Excel working files are included to allow you to follow along using the same material I use throughout the lectures. You can download all of them.It's comprehensive and fast. Microsoft Excel Macros and VBA are complex, that's why the course is broken down into bite-sized piecesI update the Excel class monthly with new lectures!It has a Homework-Quiz after the section so to prove that you have learned the material.You will learn the most current version of Microsoft Excel (2019), but the concepts are compatible with Excel 2007, Excel 2010, Excel 2013, and Excel 2016Compatible with Microsoft Office for MacintoshAre you looking to learn practical Macro and VBA techniques you can put to use instantly? If so, then this is the course for you. It's entirely project-based and it's full of examples that are fully explained and easy to understand. It has been recorded with the brand new Excel 2019 in full HD 1080p. If you get stacked don't worry. I have fast and full support through the discussion board. And if you don't like the course simply return it. There is a 30-day money back guarantee. At the end of this Microsoft Excel class you will be given a Certificate of CompletionWhat are you waiting for? Enroll now! (it is 100% no risk deal) Who this course is for: All Excel users who have always been interested in macros but have never found a good resource to learn them Individuals who wish to turn Microsoft Excel into a powerful tool in their daily work Students with willingness for learning Business Professionals and Entrepreneurs Homepage

Published 6/2024 Created by Chandramohan Reddy MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 17 Lectures ( 5h 23m ) | Size: 2.2 GB Oracle Fusion Cloud SCM Order Management Implementation Latest Version R13 -24B Part -1 What you'll learn: Oracle Fusion Cloud SCM OM Implementation Setups Oracle Fusion Cloud SCM OM Configurations Oracle Fusion Cloud SCM OM End to End Implementation Process Oracle Fusion Cloud SCM Implementation Setups,Configurations and Transactions Requirements: Basic understanding of Oracle Fusion Cloud Basic understanding of Oracle Fusion Inventory Cloud Description: The syllabus for Oracle Fusion Cloud SCM (Supply Chain Management) OM (Order Management) course typically covers a range of topics aimed at equipping participants with comprehensive knowledge and skills in managing orders within the Oracle Fusion Cloud environment. Here's a general outline of what you might expect in such a course:1. Introduction to Oracle Fusion Cloud SCM OM   - Overview of Oracle Fusion Cloud SCM   - Introduction to Order Management (OM)2. Functional Setup Manager (FSM)   - Overview of Functional Setup Manager   - Implementation projects and task lists3. Order Orchestration   - Order capture and processing   - Order fulfillment and scheduling   - Order exceptions and holds management4. Order Management Configuration   - Manage order types, sources, and statuses   - Configuring order rules and flows   - Pricing and discounting setup5. Managing Customers    - Customer  management   - Address management   - Customer communications6. Inventory Management Integration   - Inventory organizations and SubInventories   - Inventory reservations and allocations7. Shipping and Logistics   - Shipping configuration and carriers   - Logistics integration and tracking8. Reporting and Analytics   - Key performance indicators (KPIs) in OM   - Reporting tools and dashboards9. Integration with Other Modules   - Integration with financials and Inventory   - Integration with supply chain planning10. Security and Access Control   - User roles and responsibilities   - Security setup and access controls11. Best Practices and GOP   - GOP process   - Implementation of GOP process   - OM process optimization12. Future Trends and Updates   - Roadmap for Oracle Fusion Cloud SCM OM   - Latest features and updates Who this course is for: This Course is for the People Who wants to enter into Oracle fusion SCM Cloud , To Become Master in SCM Cloud Implementation This Course is for the SCM Cloud from EBS ERP or any other ERP Applications This Course is for the people who are having the Domain knowledge in the Supply chain domain Homepage

Released 6/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 4h 46m | Size: Course Outline Go Quickstart: Introduction 14s remaining Dive into the Efficient World of Go Programming 5m 46s Learning objectives 32s 1.1 Introduce Go programming: Setup and Hello World 12m 39s 1.2 Grasp Go's variable declarations and types 7m 7s 1.3 Explore numeric types in Go 10m 35s 1.4 Understand strings and runes 6m 37s 1.5 Delve into arrays and slices 13m 49s Learning objectives 33s 2.1 Dive into Go's operators 7m 26s 2.2 Master logical operators and operator precedence 7m 26s 2.3 Discover important numeric functions 9m 40s 2.4 Discover important string functions 10m 55s 2.5 Discover important array and slice functions 10m 53s Learning objectives 34s 3.1 Delve into constants and iota in Go 7m 3s 3.2 Build interactive apps with user input 7m 56s 3.3 Become familiar with conditionals 7m 18s 3.4 Switch things up with switch 6m 2s 3.5 Understand loops 7m 34s Learning objectives 35s 4.1 Handle errors the Go way 12m 44s 4.2 Explore the basics panics 6m 58s 4.3 Continue discussing panics 7m 22s 4.4 Organize data with maps 12m 24s 4.5 Design functions for code reuse 8m 19s Learning objectives 46s 5.1 Build your own data structure with structs 13m 29s 5.2 Implement interfaces to describe functionality 7m 46s 5.3 Practice working with interfaces 11m 4s 5.4 Use custom interfaces to achieve polymorphism 8m 34s 5.5 Organize your project with packages 7m 45s Learning objectives 43s 6.1 Create an external library 6m 47s 6.2 Learn the basics of pointers 7m 26s 6.3 Understand pointers as parameters 6m 13s 6.4 Master pointers for arrays and slices 8m 48s 6.5 Learn the essentials of Goroutines 14m 31s Wrap Up 49s Go Quickstart: Summary 53s Screenshots

Released 6/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 3h 37m | Size: 1 GB Course Outline Generative AI for Python Developers: Introduction 1m 24s remaining Learning objectives 50s 1.1 Set up and work with ChatGPT 6m 5s 1.2 Write basic Python code using ChatGPT 8m 1s 1.3 Get started with Github Copilot 5m 57s 1.4 Learn the basics of navigating Github Copilot 13m 4s Learning objectives 1m 2.1 Write basic automation scripts with ChatGPT 13m 30s 2.2 Write basic automation scripts with Github Copilot 9m 34s 2.3 Learn prompt-engineering best practices for writing scripts 6m 21s 2.4 Exercise: Write a web-scraping script 15m 21s 2.5 Exercise: Load and modify a CSV file 9m 26s Learning objectives 1m 8s 3.1 Learn the basics of using Generative AI alongside Jupyter 5m 13s 3.2 Use AI to assist with data visualization 6m 31s 3.3 Use AI to assist with data analysis 4m 29s 3.4 Learn prompt-engineering best practices for data science 6m 25s 3.5 Exercise: Display data on a graph 8m 12s 3.6 Exercise: Clean some data 4m 3s Learning objectives 1m 3s 4.1 Build simple Python servers with Generative AI 11m 4s 4.2 Use Generative AI to create templates 11m 29s 4.3 Learn prompt-engineering best practices for web development 5m 35s 4.4 Exercise: Create a REST API 15m 31s 4.5 Exercise: Create a server for blog articles 9m 2s Learning objectives 1m 17s 5.1 Write basic tests using Generative AI 11m 43s 5.2 Learn prompt-engineering best practices for Test-Driven Development 3m 30s 5.3 Use Generative AI to help with writing documentation 5m 41s 5.4 Exercise: Unit test basic functions 6m 46s 5.5 Exercise: Integration test API calls 4m 32s Generative AI for Python Developers: Summary 3m 14s Screenshots

Released 6/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 1h 1m | Size: 576 MB In this video course, you will discover Pixlr Suite, an excellent alternative to Adobe CC designed for beginners and non-professionals In this video course, you will discover Pixlr Suite, an excellent alternative to Adobe CC designed for beginners and non-professionals. Dive into the world of image editing with ease as you explore Pixlr's features, including its effortless browser launch. Unleash your creativity and master quick, hassle-free image editing using Pixlr's AI tools. Enhance your creative projects with professional-quality results. What You'll Learn• How to use Pixlr Suite, a user-friendly Adobe CC alternative. • How to master quick image editing with AI tools. • How to maximize the capabilities of Pixlr E and Pixlr X. • How to streamline design work with the design template. Who This Video Is For This video is for beginners, non-professionals, and creative enthusiasts looking to explore Pixlr as an Adobe CC alternative and improve their image editing skills. Screenshots

Released 6/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 4h 37m | Size: 1.3 GB Course Outline ChatGPT Prompt Engineering Essentials: Introduction 1m 47s remaining Learning objectives 46s 1.1 Unpack Prompt Engineering basics 12m 24s 1.2 Learn the history of Chatbot evolution 7m 51s 1.3 Understand the basics of ChatGPT structure 12m 49s 1.4 Learn guidelines for simple prompts 15m 38s Learning objectives 42s 2.1 Understand the fundamental procedures 14m 20s 2.2 Set up an ideal testing ground 11m 31s 2.3 Craft a prompt 13m 29s Learning objectives 33s 3.1 Learn transformational tasks 8m 8s 3.2 Use the promt engineering cycle to perform transformational tasks 14m 34s 3.3 Perform inventive tasks 17m 55s 3.4 Learn analytical tasks 13m 1s 3.5 Perform step-by-step tasks 11m 46s 3.6 Write content-creation tasks 12m 23s Learning objectives 39s 4.1 Learn and perform data-analysis tasks 9m 5s 4.2 Write simulated scenario tasks 12m 30s 4.3 Perform code-generation tasks 10m 10s 4.4 Learn multilingual translation tasks 7m 19s 4.5 Write instructional tasks 8m 8s 4.6 Use suggestion tasks 7m 19s Learning objectives 44s 5.1 Interact with ChatGPT via the API 11m 32s 5.2 Automate testing for prompts 11m 22s 5.3 Create and share custom GPTs 9m Learning objectives 42s 6.1 Use Generative AI to read and edit files 6m 52s 6.2 Create images with Generative AI 6m 17s 6.3 Perform real-world actions with Generative AI 3m 20s ChatGPT Prompt Engineering Essentials: Summary 2m 24s Screenshots

Released 6/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 2h 12m | Size: 1.2 GB Course Outline Welcome to the Course 4m 59s remaining Sourcing stories from antiquity 13m 26s Understanding how stories resonate (and create safe spaces) 12m 10s Telling a story and making it memorable 6m 21s Understanding what a story can reveal 19m 24s Being honest has a role in storytelling 6m 33s Exploring the full range of story sources 6m 11s Using the power of simplicity (and a coat of paint) 10m 22s Building the environment **we may need to split this into two sublessons. 12m 39s Building the characters, even if you are the main actor 4m 24s Using the five senses in the story 4m 39s Going off on tangents - Safe versus unsafe 4m 16s Affirming the metaphor or analogy 2m Opening with it and affirming it 1m 59s Tying the story to the audience 3m 51s Abandoning the story briefly 1m 19s Reasserting the metaphor 1m 32s Putting the audience "inside" 1m 43s Adding bells and whistles to the story 4m 59s Using the power of anticipation 1m 34s Circling back to the beginning 1m 34s Affirming the point 3m 36s Creating a history and granting access 1m 22s Summary 34s Screenshots

Published 6/2024 Created by Learnify IT MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 18 Lectures ( 5h 51m ) | Size: 3.14 GB Master the Art of T-Shirt Design from Start to Finish What you'll learn: Foundational design principles: Understand core concepts like composition, color theory, and typography to create visually appealing designs. Mastering Adobe Photoshop & Illustrator: Learn the essential tools and techniques used by professional T-shirt designers in both Photoshop and Illustrator. Canva for T-shirt design: Discover how to leverage the user-friendly interface of Canva to create stunning designs, perfect for beginners. T-shirt design workflow: Grasp the entire process, from brainstorming ideas to finalizing your artwork for printing. Requirements: No experience required Description: Turn your T-shirt ideas into reality with this comprehensive course!Master the in-demand skills of T-shirt design using the industry's leading software (Adobe Photoshop, Illustrator) and the beginner-friendly Canva. This course is your one-stop shop for creating professional-quality T-shirt designs, from concept to print.Whether you're a complete beginner or looking to refine your skills, this course provides everything you need. You'll learn:Foundational design principles: Understand core concepts like composition, color theory, and typography to create visually appealing designs.Mastering Adobe Photoshop & Illustrator: Learn the essential tools and techniques used by professional T-shirt designers in both Photoshop and Illustrator.Canva for T-shirt design: Discover how to leverage the user-friendly interface of Canva to create stunning designs, perfect for beginners.T-shirt design workflow: Grasp the entire process, from brainstorming ideas to finalizing your artwork for printing.Creating mockups and presentations: Showcase your designs professionally using mockup templates.(Optional) Printing and selling your T-shirts: Explore various printing methods and platforms to turn your designs into sellable products.By the end of this course, you'll be confident in:Creating unique and eye-catching T-shirt designs.Using industry-standard software (and a beginner-friendly alternative) to bring your ideas to life.Preparing your designs for professional printing.(Optional) Launching your own T-shirt business.This course is perfect for:Aspiring T-shirt designersEntrepreneurs looking to create their own clothing lineAnyone who wants to learn in-demand design skillsCreatives who want to express themselves through T-shirt designSign up today and unlock your T-shirt design potential!Note:You can adjust the description length based on Udemy's requirements.Emphasize the strengths of your course, like including both industry-standard and beginner-friendly software.Clearly outline the learning outcomes and target audience. Who this course is for: Using industry-standard software (and a beginner-friendly alternative) to bring your ideas to life. Homepage

Published 6/2024 Created by Tchinda Mbuna MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 58 Lectures ( 4h 50m ) | Size: 2.65 GB HOW TO PREPARE FOR CYBER SECURITY INTERVIEWS What you'll learn: Confidently answer technical and behavioral interview questions Showcase your cybersecurity knowledge and problem-solving skills Develop a compelling personal brand for the cybersecurity industry Navigate the job search process with a targeted strategy Ace your cybersecurity interviews and land your dream job Requirements: Completion of a cybersecurity bootcamp or equivalent training Basic to advanced understanding of cybersecurity concepts Desire to secure a cybersecurity job Description: Are you a cybersecurity professional feeling stuck in your job search? This comprehensive course is your personalized roadmap to landing the cybersecurity role you've been dreaming of. We'll delve deep into the interview process, empowering you with the tools and insights needed to conquer any challenge.Master the Technical Interview:In-depth Preparation: Demystify common technical questions and learn how to approach even the most complex scenarios with confidence.Expert Guidance: Receive personalized feedback from seasoned cybersecurity professionals to fine-tune your responses.Ace the Behavioral Interview:Showcase Your Soft Skills: Craft compelling narratives that highlight your leadership, communication, and problem-solving abilities.Align with Company Culture: Understand the importance of cultural fit and how to demonstrate your alignment with potential employers.Behavioral Interview Workshop: Participate in interactive sessions to practice answering challenging behavioral questions with ease.Personal Branding & Networking:Craft a Standout Resume: Learn how to create a resume that showcases your unique skills and experience to hiring managers.Build a Strong Online Presence: Establish yourself as a thought leader in the cybersecurity community through strategic online engagement.Network Like a Pro: Discover effective strategies for building relationships with industry professionals and uncovering hidden job opportunities.Salary Negotiation & Beyond:Know Your Worth: Gain insights into industry salary trends and learn how to negotiate a compensation package that reflects your value.Career Development: Receive ongoing support and resources to help you navigate your cybersecurity career journey.Who Should Enroll:Whether you're a boot camp graduate, hold a formal degree, or are transitioning into cybersecurity from another field, this course is designed for you. No matter your background, we'll provide you with the knowledge, skills, and confidence to thrive in the cybersecurity job market.Take the Next Step:Don't let another opportunity slip through your fingers. Invest in your future and unlock the door to your dream cybersecurity career today! Who this course is for: Recent cybersecurity bootcamp graduates Cybersecurity students seeking to enhance their interview skills Experienced professionals looking to transition into new cybersecurity roles Homepage

Published 6/2024 Created by Siri Subrahmanyam Vadlamani MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 44 Lectures ( 3h 5m ) | Size: 909 MB Master the skill of designing current sensing techniques in power electronics! What you'll learn: Importance of Current Information, Sensing vs Measurement, Voltage Sensing vs Current Sensing, Current Sensing Techniques Introduction to Sense Resistor, Sense Resistor Selection Parameters, Design Example Kelvin Sense or 4-Terminal Sensing, PCB Trace as Sense Resistor, Lead Frame as Sense Resistor MOSFET's Channel Resistance as Sense Resistor, Inductor's DCR as Sense Resistor, Sense-FET Current Sense Technology Introduction to Magnetics Circuits, Magnetic Circuit jargons, Ampere's Law, Faraday's Law, Relationship between Electric and Magnetic Domain Volt-Second Balance, Inductance and its Energy Storage, Area-Product, Introduction to Transformers Introduction to Current Transformer, Equivalent Model, Advantages and Disadvantages, CT Design Procedure, Design Example, DC Current Transformers Introduction to Rogowski Coil, Advantages and Disadvantages Introduction to Hall Effect, Types of Hall Sensors, Advantages and Disadvantages Flux Concentrators, Closed Aperture and Clamp Split Core Type, Zero-Flux Technique or Closed-loop Operation Introduction to Flux-Gate, Advantages and Disadvantages, Zero-Flux Technique or Closed-loop Operation Introduction to Time Constant based Current Sensing Optimal Current Sensor Placement in Non-isolated Converters, Optimal Current Sensor Placement in Isolated Converters Current Sensing Technique Selection Procedure for any given application, Summary of all the Current Sensing Techniques Discussed in this Course Requirements: Basic Understanding of Electrical Engineering Principles - Voltage, Current, Power, etc. Circuit Analysis using KCL, KVL, Linear Circuits Basics of Algebra Genuine Interest in the Subject Matter Description: Hello there!Welcome to my course titled "Current Sensing Techniques in Power Electronics"This comprehensive three-hour course optimizes learning by offering a detailed understanding of various current sensing techniques in power electronics circuits. By bridging theory and practical applications, students save time by gaining hands-on experience, directly applying concepts to real-world scenarios, and significantly accelerating their learning curve.The detailed course curriculum is highlighted below:Module 1: Introduction to Current Sensing TechniquesThis module establishes the necessary context required to understand current sensing techniques and provides an overview of various current sensing techniques adopted in power electronics applications.Module 2: Sense Resistor based Current SensingThis module explores the sense resistor-based current sensing technique, including its selection parameters and associated processes, along with a design exampleModule 3: Improvements in Sense Resistor based Current SensingThis module delves into various improvements in sense resistor-based current sensing techniques, including Kelvin sensing, PCB trace as a sense resistor, lead frame as a sense resistor, MOSFET on-state resistance as a sense resistor, inductor DCR-based current sensing, and sense-FET-based current sensingModule 4: Fundamentals of MagneticsThis module establishes the fundamental concepts of magnetism necessary to understand non-intrusive current sensing methodsModule 5: Current Transformer based SensingThis module discusses the design and development of current transformer-based current sensing, along with its advantages and disadvantages, and provides a design exampleModule 6: Rogowski Coil based Current SensingThis module explores Rogowski coil-based current sensing, along with its advantages and disadvantagesModule 7: Hall Sensor based Current SensingThis module guides you through the principles of the Hall effect, the types of Hall sensors, their advantages and disadvantages, flux concentrators, and their closed-loop operationModule 8: Flux-Gate based Current SensingThis module explores flux-gate-based current sensing along with its advantages and disadvantagesModule 9: Time Constant based Current SensingThis module discusses the time constant-based current sensing technique that is employed in many power convertersModule 10: Current Sensor PlacementThis module details various current sensor placement options in both isolated and non-isolated converters, along with the advantages and disadvantages associated with eachModule 11: Current Sensing Technique Selection ProcedureThis module highlights the detailed, step-by-step procedure for choosing the appropriate current sensing solution for any applicationModule 12: ConclusionThis module concludes our journey together, along with many referencesSkills developed from this course:In-depth Understanding:Develop a profound knowledge of current sensing techniques and their myriad applications.Practical Application Proficiency:Apply theoretical knowledge to enhance problem-solving abilities in real-world scenarios.Critical Decision-Making and Design Skills:Master the art of informed decision-making in current sensing technology selection and circuit design based on specific requirements and performance expectations.Enroll in this transformative course to become proficient in current sensing techniques, empowering yourself with the skills essential for excelling in power circuit design and analysis.We look forward to your participation! Who this course is for: Engineering students pursuing their bachelor's or master's degree Power electronics designers, analog circuit design and application engineers Industry professionals working on design and control of power converters All power electronics and circuit design enthusiasts Anyone preparing for power electronics interviews, and seeking a quick revision Homepage

Published 6/2024 Created by Rawezh Rizgar Hamaali MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 11 Lectures ( 1h 59m ) | Size: 1.17 GB This course focuses on the technical aspects of remote CCTV camera washing systems. What you'll learn: Identify compatible CCTV cameras Install and maintain the washing system Program automated cleaning cycles Troubleshoot common issues Basic of adding CCTV camera to a Server Understand safety protocols Requirements: Basic understanding of CCTV cameras: Familiarity with different types of CCTV cameras (fixed, dome, bullet) and their functions would be helpful. Comfort with basic tools: The course may involve using common tools for installation, so some comfort level with screwdrivers, drills, or wrenches would be beneficial. Technical aptitude: A basic understanding of technical concepts like automation and programming would be helpful, as the course covers setting cleaning schedules and system parameters. Description: Master the Future of CCTV Security: Remote Camera Washing System CourseTired of blurry footage and risky maintenance routines?  This comprehensive course equips you with the knowledge and skills to revolutionize CCTV camera maintenance with remote washing systems.No more climbing ladders or risking personnel safety!  Learn from industry experts how to: * Select compatible CCTV cameras: Understand the different camera types (PTZ, dome, bullet) and their suitability for remote washing systems. Consider factors like wiper compatibility and lens material. * Install and operate the washing system: Gain hands-on experience with the installation process, including secure mounting of the washing unit and proper connection to the PTZ camera. * Program automatic cleaning cycles:  Master the control system to schedule regular cleaning routines based on weather conditions and environmental factors. * Maintain optimal performance:  Ensure long-lasting system functionality through proper maintenance procedures, including refilling the water reservoir and  replacing wiper blades.Throughout the course, you'll delve into the technical aspects of the system: * Wiper and water spray mechanisms:  Explore the different methods used for cleaning PTZ camera lenses,  including the  synergy between wiper movement and water application for a thorough clean. * Remote monitoring and control:  Learn how to monitor the cleaning process and system status  through a user-friendly interface, allowing for adjustments and troubleshooting from a safe distance. * Safety protocols:  Understand the importance of proper handling of cleaning solutions and following safety guidelines during installation or maintenance procedures.By the end of this course, you'll be a certified remote CCTV camera washing system specialist,  equipped to: * Ensure crystal-clear surveillance footage:  Maintain clean lenses for optimal image quality, leading to sharper video and more effective security monitoring. * Reduce maintenance costs:  Eliminate the need for frequent manual cleaning by technicians, saving time and resources. * Improve safety:  Protect personnel from the hazards of working at heights or in challenging environments. * Boost operational efficiency:  Automate cleaning cycles for a hands-off approach to CCTV camera maintenance.This course is ideal for security professionals, facility managers, IT specialists, and entrepreneurs seeking to  offer remote CCTV camera washing services.  Enroll now and take your CCTV security to the next level! Who this course is for: Telecom Engineers: who work at Hight or on telecom towers. Security professionals: Security system installers, technicians, and maintenance personnel responsible for CCTV camera upkeep. Facilities managers: Individuals responsible for maintaining buildings and infrastructure that utilize CCTV camera systems. nformation technology (IT) professionals: IT personnel who manage security camera networks and may be involved in integrating the washing system. Entrepreneurs: Those interested in starting a business offering remote CCTV camera washing services to clients. CCTV camera technicians: who install or maintain the CCTV camera. Homepage

Published 6/2024 Created by Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 28 Lectures ( 1h 38m ) | Size: 1.2 GB Unlock the Power of AI with the RAG Triad: Advanced Techniques in Information Retrieval, Response Generation What you'll learn: Understanding the RAG Triad:Grasp the core components: Retriever, Generator, and Fusion Module. Advanced Retrieval Techniques: Explore sparse and dense retrieval methods, including Dense Passage Retrieval (DPR). Coherent Response Generation:Generate fluent and contextually appropriate responses based on retrieved documents. Query Expansion and Re-Ranking Techniques:Improve document relevance through re-ranking strategies. Requirements: Basic Understanding of AI and NLP Concepts: Familiarity with foundational AI and NLP principles. Programming Experience: Proficiency in Python, as it will be the primary programming language used. Description: Unlock the full potential of AI with our comprehensive course on Retrieval-Augmented Generation (RAG) Systems. Dive deep into the powerful RAG Triad and learn how to leverage advanced techniques in information retrieval, response generation, and agent-based architecture. Designed for AI enthusiasts, data scientists, and NLP professionals, this course provides everything you need to build state-of-the-art RAG systems that deliver accurate, contextually relevant, and coherent responses to complex queries.What You'll Learn:The RAG Triad: Understand the components of RAG systems, such as the retriever, generator, and Fusion Module, and how they work together to enhance information retrieval and response generation.Advanced Retrieval Techniques: Explore sparse and dense retrieval methods, including Dense Passage Retrieval (DPR), and learn how to implement hybrid retrieval approaches for superior accuracy.Coherent Response Generation: Master using advanced language models like GPT-3 to generate fluent and contextually appropriate responses based on retrieved documents.Hands-On Projects: Engage in practical exercises and real-world projects to build a complete RAG system from scratch and apply your skills in various applications such as search engines, customer support, and research.By the end of this course, you'll be equipped with the skills and knowledge to create robust RAG systems that can easily handle complex queries, making you a leader in AI and NLP.Enroll now to transform your AI capabilities and stay ahead in the ever-evolving field of artificial intelligence. Who this course is for: AI Enthusiasts: Eager to explore advanced AI and NLP techniques. Data Scientists: Seeking to enhance their information retrieval skills. NLP Professionals: Aiming to master RAG systems for complex queries. Tech Innovators: Looking to apply cutting-edge AI in real-world applications. Homepage

Released 6/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + vtt | Duration: 42m | Size: 167 MB Learn to automate your software development workflow with GitHub Actions. Understand the common use cases of GitHub Actions, where to find existing actions, and how to create a new GitHub Actions workflow within your own GitHub Repository In a world driven by innovation and continuous integration, understanding the basics of automation with GitHub Actions is essential for every developer who works on GitHub. In this course, GitHub Actions: The Big Picture, you'll understand the basics of GitHub Actions, its benefits, use cases, and how to get started. First, you'll explore the essential components of an Actions workflow file, from event triggers, steps, runners, and jobs. You'll gain hands-on experience in creating a basic workflow file that will print a message to the console log based on a specific event trigger. By the end of this course, whether you're a seasoned developer looking to streamline your workflows, or a newcomer eager to embrace automation, this course provides a big picture view to automating your development workflows with GitHub Actions. Homepage

Released 6/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + vtt | Duration: 33m | Size: 178 MB Start coding instantly with a fully-configured dev environment hosted in the cloud. Learn how to customize a repeatable environment for everyone that uses a project, and learn how to develop, customize, and manage a GitHub Codespace in 30 minutes. GitHub Codespaces empowers developers to spin up customizable development environments effortlessly, eliminating setup hassles and enabling teams to focus on what they do best-writing code, instead of troubleshooting environment setups. In this course, GitHub Foundations: GitHub Codespaces, you'll gain fundamental knowledge of working with this cloud-based development environment on GitHub. First, you'll understand what Codespaces are and how to start them to managing their lifecycle and ensuring security. Then, you'll gain practical insights into optimizing workflows efficiently. Finally, you'll explore the differences between GitHub Codespaces and the github.dev editor, teaching you how to share deep links to Codespaces for seamless collaboration, and provide clarity on pricing models for cost-effective development solutions. By the end of this course, you will be equipped to leverage GitHub Codespaces effectively, enhancing productivity and collaboration in software development for better team collaboration within a GitHub repository for project contributors and onboarding new team members. Homepage

Published 6/2024 Created by Yasir Amir MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 10 Lectures ( 3h 40m ) | Size: 1.58 GB Easier way to learn Convolutional Neural Networks with Python What you'll learn: Convolutional Neural Networks (Deep Learning) Requirements: Machine Learning, Python Description: The age of intelligent machines that can see is here! Harness the transformative power of artificial intelligence. Now, there's an easier way to learn Convolutional Neural Networks (ConvNets) with Python.In just a few short years, ConvNets  have ignited a revolution in computer vision. They've propelled us beyond clunky algorithms, empowering technologies like self-driving cars, unlocking the mysteries hidden within medical imagery through automated analysis, and even achieving near-human accuracy in facial recognition. This course equips you with the skills to join this transformative field and be a part of developing the next generation of groundbreaking applications.By the end, you'll be able to:Explain ConvNets, their components (convolutional layers, pooling layers, activation functions), and their inner workings. Design and code ConvNets using popular deep learning library like TensorFlow.Critically analyze existing ConvNet designs and algorithms, identifying strengths and weaknesses for different tasks. This course is your launchpad! It equips you with the essential building blocks, the rocketship fuel, to propel yourself into the vast and ever-expanding universe of Artificial Intelligence and Machine Learning. Here, you'll gain the foundational skills to navigate this incredible frontier, but the journey doesn't stop here. Dive deeper, explore further, and keep learning. This course is just the beginning of your exciting exploration! Who this course is for: Artificial Intelligence Enthusiasts and (even Practitioners), Software Engineering students and professionals, Electrical Engineers, Homepage