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Published 6/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 504.92 MB | Duration: 0h 59m Grow your audience like House of Leaders. Learn their proven methods to reach 1.4 million engaged followers. What you'll learn Build a strong brand identity Discover content pillars Create engaging content Build and engage with community Requirements No social media experience required. Just an open mind and willingness to try things and commit. Description If you've ever wondered how House of Leaders cultivated a massive and engaged community, this course pulls back the curtain for you. We'll reveal our proven strategies, the same ones that helped us attract a loyal following of 1.4 million.Sure, it took years of experience to get here - years filled with trial and error. But we've condensed those lessons into 3 concise modules that you can easily watch, learn from, and apply to start building your brand on Instagram today. No need to reinvent the wheel!Forget chasing fleeting likes and followers! This course teaches you how to attract the right audience - one that's genuinely interested in you and the value you offer. We'll dissect House of Leaders' playbook, guiding you through:Content Magic: Craft intentional content that resonates with your ideal audience and keeps them hooked.Community Powerhouse: Discover how to foster a thriving community where your followers feel valued and connected.Engagement Alchemy: Master the techniques to transform passive viewers into active participants, boosting your reach and influence.This course is much more than just follower growth. It's about building a loyal community that not only sees you, but truly understands your message.Ready to start your social media journey and build your dream audience? Enroll today and take the first step towards transforming your online presence! Overview Section 1: Introduction Lecture 1 Introduction Section 2: Module 1 Lecture 2 Intro of Module 1 Lecture 3 Building Your Brand Identity Lecture 4 Crafting Your Brand Identity Lecture 5 Target Audience Section 3: Module 2 Lecture 6 Building your IG Bio Lecture 7 Content Creation Strategy Lecture 8 Content Creation Strategy Step 2 Lecture 9 Focus on Each Content Type Section 4: Module 3 Lecture 10 Engaging with your audience Lecture 11 Lessons Learnt from Experiences of Building HOL Lecture 12 Monetization Lecture 13 FAQ Someone who wants to start a brand on Instagram,Someone who wants to grow their brand on Instagram Screenshots

Published 6/2024 Created by Emeka Okagu MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 35 Lectures ( 3h 20m ) | Size: 2.72 GB What is Software Development lifecycle. What is Software Quality Assurance Testing. How to ace that interview. What you'll learn: In this course you would learn about the roles and responsibility of a Quality Assurance tester You will learn about the Software Development Life Cycle (SDLC) You will learn how to start your career in IT and get a six figure job You will learn how to make a good resume, ace an interview and get that dream job Requirements: No Experience Description: Intended AudienceThis course is intended for Beginners and folks already in IT trying to have a career in Software Quality Assurance. This course breaks down in details what a Software Quality Assurance tester does, day to day task and how to ace that interview. Happy learningWho this course is designed forThis Course is designed for beginners and folks trying to pursue a career as a Software Quality Assurance Tester. You do not need any prior knowledge in IT. Course outlineIntroductionWhat is SDLCWhat is a MethodologyWhat is Software Quality Assurance testingTypes of Quality Assurance testingTypes of Quality Assurance testing Documents producedTypes of Quality Assurance testing toolsHow to Ace that interviewPre-requisites NoneWhere you would be after watching this courseYou will gain the understanding of a Software Quality Assurance Tester. You would know how to make a compelling resume and have an idea how to answer interview questions.ConclusionIn order to transition to become a QA tester, you need to be focus and intentional. Study the material as often as you can, to make sure you are familiar with the process. Remember, the more you go through the course, the more familiar you become.Feedback and ReviewPlease do not hesitate to leave your feedback or review on how you felt about watching my course.You feedback, review, comments and likes are greatly appreciated. Who this course is for: Anybody interested in learning or becoming a Quality Assurance Software Tester Homepage

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

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English (US) | Size: 860.53 MB | Duration: 1h 57m Design Publications with Ease What you'll learn Microsoft Publisher Publishing Designing Brochures Requirements Basic Computer Knowledge Description Microsoft Publisher is part of Office 365 and is an easy-to-use yet powerful application to design publications. In his course, you will be learning the various tools and techniques to create new publications from scratch or by utilizing templates.We will cover various aspects of the application such as managing business information, saving publications in various formats and page formatting. Also, we will see, how we can use various navigation options in the application to ease the workflow of designing publications.Also, we will see different ways to format text and insert text from external sources. And then we will also see how we can work with shapes, and tables and manage content with the use of master pages.After that, we will look at how we can apply various effects to different elements as well along with the management of page numbers and headers and footers.Then, we will also see how we can optimize the publication for the web and other publication options that there are and then finally end the course with an example project.This course is designed for those who do not have any design background so even if you are a beginner, you can easily follow along this course. Who this course is for Beginners Screenshots

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English (US) | Size: 489.61 MB | Duration: 0h 51m Learn Azure Data Explorer (ADX) and Kusto Query Language (KQL) in easiest possible way. What you'll learn Understand Azure Data Explorer (ADX) Write queries in Kusto Query Language (KQL) Learn Joins, Subqueries, Aggregate functions in KQL. Create clusters and databases in ADX Create geospatial visualization. Learn Tabular operators, Scaler operators, Scalar functions, special functions and Time series analysis. Requirements Basic Data base concepts Description Welcome!Hi, I am happy to helping you with learning one of the in-demand data engineering tools in the cloud, Azure Data Explorer (ADX) and Kusto Query Language (KQL). Azure Data Explorer aka ADX, is a fast, highly scalable and fully managed data analytics service for log, telemetry and streaming data. This data exploration service enables you to pull together, store and analyze diverse data. You can query terabytes of data in a few seconds and it allows fast ad-hoc queries over the varied data.Kusto Query Language is a powerful tool to explore your data and discover patterns, identify anomalies and outliers, create statistical modeling, and more. The query uses schema entities that are organized in a hierarchy similar to SQLs: databases, tables, and columns.This course is designed to help for develop the skills necessary to understand Azure Data Explorer (ADX) and Kusto Query Language (KQL).Who this course is for:University students looking for a career in Data EngineeringIT developers working on other disciplines trying to move to Data EngineeringData Architects looking to gain an understanding about Azure Data Engineering stackData Scientists who want extend their knowledge into data engineeringData Analyst or similar profilesOther on-premises Database related profiles who want to learn how to implement these technologies in Azure Cloud.Database DeveloperDatabase Administrators (DBA) Who this course is for For all levels Screenshots

Released 5/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 10h 49m | Size: 1.57 GB Dodge the common mistakes that even senior developers make, take full advantage of static analysis tools, and deliver robust and error-free Java code. Whenever you make a mistake writing Java, it's almost guaranteed that someone else has made it before! In 100 Java Mistakes and How To Avoid Them you'll learn about the common and the not-so-common antipatterns, errors, and tricky bits that trip up almost every Java developer. Inside 100 Java Mistakes and How To Avoid Them you will learn how to Write better Java programs Recognize common mistakes during programming Create fewer bugs and save time for debugging and testing Get help from static analyzers during programming Configure static analysis tools to reduce the number of false reports Extend static analysis tools with custom plugins Each Java mistake in this handy guide comes with an illustrative code sample, an explanation of why the mistake occurs, and an actionable "ways to avoid this" section to help you dodge the error. Plus, you'll benefit from useful static analysis sidebars that let you know when mistakes will-and won't-be spotted by static analysis tools. About the Technology Minor bugs in development can become major problems in production. It's much better to spot and fix your mistakes before they get that far! This one-of-a-kind book shines a light on the most common Java slip-ups and shows you exactly how to avoid making them in the first place. About the Book 100 Java Mistakes and How To Avoid Them highlights 100 Java coding errors-from beginner missteps to mistakes even Java experts don't know they're making. Each case includes clear examples to show you what to look for and concrete troubleshooting advice. You'll learn to use static analysis tools like IntelliJ IDEA and SonarLint to ensure you're consistently delivering exceptional Java, discover how unit tests and defensive coding can keep your code clean, and even learn to write your own bug-busting plugins. What's Inside Recognize bugs and antipatterns during programming Highly-effective debugging and testing Get help from static analyzers About the Reader For Java developers of all skill levels. About the Author Tagir Valeev is a technical lead in JetBrains and a Java Champion. He designed and developed many code inspections for IntelliJ IDEA built-in static analyzer. The technical editor on this book was Jean-François Morin. Screenshots