Ai For Developers With Github Copilot, Cursor Ai & Chatgpt
Ai For Developers With Github Copilot, Cursor Ai & Chatgpt
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.82 GB | Duration: 4h 46m
Leverage AI to boost your productivity as a developer: Use GitHub Copilot, Cursor AI and ChatGPT for efficient coding
What you'll learn
Use GitHub Copilot to write, test and improve code with AI suggestions
Configure and fine-tune GitHub Copilot chat for your requirements as a developer
Generate and enhance code with Cursor AI
Use Cursor AI smart suggestions, completions, Composer and chat
Plan projects and create assets with ChatGPT or other external AI services
Understand prompt engineering essentials to get the most accurate AI outputs
Build a complete demo project (REST API) leveraging GitHub Copilot, Cursor AI and ChatGPT
Requirements
Basic understanding of programming concepts is required
Familiarity with GitHub is recommended but not required
No prior AI experience necessary to succeed in this course
Description
AI is not a threat—it's an incredibly powerful tool that can help you become an even more efficient and productive developer. While AI can generate code snippets and assist with routine tasks, it still needs your developer expertise to create safe, reliable and complex applications. This course is all about teaching you how to combine your developer skills with AI tools to supercharge your coding process.In today's fast-paced world of development, AI can be your secret weapon. By learning how to use AI tools like GitHub Copilot and Cursor AI efficiently, you can make routine coding tasks faster and easier, leaving you more time to focus on the most important and creative aspects of development. This course shows you exactly how to do that.You'll discover how to integrate AI seamlessly into your workflow, ensuring that it complements your knowledge without replacing the essential role you play as a developer. AI is here to enhance, not replace, your skills.Through hands-on lessons with GitHub Copilot, Cursor AI and external services like ChatGPT, you'll learn how to leverage AI to improve your coding speed, enhance productivity, and tackle complex challenges more efficiently. Whether you're just starting out or already have experience, this course will teach you how to use these tools to your advantage.What's in this course?Introduction to GitHub Copilot: Learn what GitHub Copilot is. Explore its core features like code suggestions, contextual code assistance and even debugging your code.Advanced GitHub Copilot Usage: Dive into more advanced features such as generating unit tests, configuring chat settings and understanding how to prompt the AI for more complex tasks.Mastering Cursor IDE: Discover how Cursor helps with code completion, chat, Cursor Composer and smart suggestions to make coding faster and more intuitive.External AI Tools: Learn how to integrate external services like ChatGPT into your workflow to streamline tasks like project planning, researching and even asset generation.Real-World Practice Project: I'll walk you through creating a REST API from scratch using AI tools. From planning and structuring the app to generating code, implementing features and debugging, you'll see how AI tools can assist every step of the way.Prompt Engineering Essentials: Learn how to fine-tune your prompts to get the best outputs from AI, helping you avoid common pitfalls and optimize efficiency.Debugging and Troubleshooting with AI: See how AI tools can assist with error detection, fixing bugs and improving your code's overall quality.Connect your dev knowledge with AI tools.This course doesn't just give you theory—you'll get practical examples and demos. You'll see firsthand how AI can enhance your coding experience, from writing cleaner code to automating repetitive tasks.If you're a developer who wants to stay ahead of the curve, this is the course for you! The future of development is here, and AI will be a key part of it.Check out the full curriculum, watch the free preview videos, and enroll today to start your AI-powered coding journey.
Overview
Section 1: Getting Started
Lecture 1 Welcome To The Course!
Lecture 2 Course Overview: What You'll Learn & Achieve
Lecture 3 Course Focus: AI Programming Tools & Beyond
Lecture 4 Understanding AI: Limitations, Costs & Unpredictability
Section 2: Leverage GitHub Copilot Suggestions & Chat
Lecture 5 Introducing GitHub Copilot
Lecture 6 GitHub Copilot: AI Code Completion For Developers
Lecture 7 Installing & Setting Up GitHub Copilot
Lecture 8 Using AI Powered Code Suggestions To Write Code
Lecture 9 Mastering Prompts: Using Comments To Guide Github Copilot's AI
Lecture 10 Writing A Full Python Script With Suggestions
Lecture 11 Using The Inline Chat Feature To Add Error Handling
Lecture 12 Configuring the Chat: Tips For Efficient Use
Lecture 13 Exploring The Sidebar Chat For More Complex Tasks
Lecture 14 Adding Context: Using References & Shortcuts For Smarter Code Creation
Lecture 15 Adding Additional Participants For Enhanced Sidebar Chat Context
Lecture 16 Running Terminal Commands Efficiently With AI
Lecture 17 Mastering GitHub Copilot Slash Commands: Explain, Fix & More
Lecture 18 Automating Unit Test Generation For Selected Code Sections
Lecture 19 Creating New Projects With The /new Command
Lecture 20 Prompt Engineering Essentials: Guidelines & Best Practices
Lecture 21 How Being Specific & Adding Context Improves AI Code Generation Efficiency
Lecture 22 Validating Input With GitHub Copilot Sidebar Chat
Lecture 23 Effective Iteration: Balancing AI & Manual Coding
Section 3: Introducing Cursor AI: Smart Suggestions, Chat and Composer
Lecture 24 Introducing Cursor AI
Lecture 25 What Is Cursor AI & How It Enhances Developer Productivity
Lecture 26 Prerequisites For Using Cursor: What You Need To Know
Lecture 27 Getting Started With Cursor's Auto-Suggestions
Lecture 28 Smart & Predictive Code Completion With Cursor: Writing Code Faster With Tab
Lecture 29 Fixing Code On The Fly With Cursor's AI-Powered Suggestions
Lecture 30 Using Comments As Prompts To Guide Cursor's Code Generation
Lecture 31 Debugging Errors In The Terminal
Lecture 32 Understanding Cursor's Inline Chat Feature
Lecture 33 Leveraging The Docs Integration For Better Code Generation
Lecture 34 Generating Terminal Commands With The Inline-Chat
Lecture 35 Explaining Selected Code Snippets With The Quick Question Mode
Lecture 36 Enhancing The Workflow With The External Sidebar Chat Window
Lecture 37 Editing Multiple Files & Performing More Complex Edits With Cursor Composer Mode
Lecture 38 Cursor AI Features Round-Up: Tests, Code Fixes & More
Section 4: ChatGPT Or Other External AI Services: Use-Cases During Development
Lecture 39 Introduction To External AI Services
Lecture 40 How To NOT Use ChatGPT As A Developer
Lecture 41 Planning Applications With ChatGPT
Lecture 42 Researching Development Solutions With External AI Services
Lecture 43 Using AI For Asset Generation
Lecture 44 Prompt Engineering: Key Techniques
Lecture 45 Section Round Up: When To Use External AI Services In Development
Section 5: Practice Project: Creating a REST API with AI
Lecture 46 A Full Demo Project: Overview
Lecture 47 The REST API: Application Requirements Overview
Lecture 48 Planning the Application Structure with ChatGPT
Lecture 49 Setting Up the Project in Cursor AI
Lecture 50 Writing User Registration & Login Code with Cursor Composer
Lecture 51 Providing Follow-Up Feedback To Cursor Composer
Lecture 52 Connecting to A SQLite Database with Cursor's Sidebar Chat
Lecture 53 Tweaking AI-Generated Code
Lecture 54 Using Inline Chat For Editing Validation Code
Lecture 55 Testing the REST API With Postman
Lecture 56 Encrypting User Passwords With bcryptjs
Lecture 57 Debugging the App With The AI Chat
Lecture 58 Adding Authentication with JSON Web Tokens
Lecture 59 Adding Event Specific Routes With GitHub Copilot Inline Chat
Lecture 60 Creating, Editing & Deleting Events With Copilot's Sidebar Chat
Lecture 61 Creating & Exporting Reusable Model Functions For Event Management
Lecture 62 Testing & Debugging The App
Lecture 63 Implementing & Testing Validation With The Inline Chat
Lecture 64 Protecting Event Routes With User Authentication
Lecture 65 Testing Authentication
Lecture 66 Adding Role Based Authorization To The Update & Delete Routes
Lecture 67 Testing Authorization
Lecture 68 Adding POST Routes with Suggestions For Registering & Unregistering Events
Lecture 69 Testing & Fixing Event Registration & Unregistration
Lecture 70 Integrating Image Upload Functionality With The Multer Package
Lecture 71 Finishing & Testing The Image Upload Feature
Lecture 72 Adding Frontend Applications To The REST API with the CORS Package
Lecture 73 Conclusion & Next Steps
Developers looking to boost productivity with GitHub Copilot, Cursor and other AI tools,Anyone curious about AI-driven development and seeking hands-on experience with real projects
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