Generative AI for Code Generation Training
Key Takeaways
Generates code using Generative AI and tools like GitHub Copilot
Original Description
This beginner-friendly course explores how Generative AI transforms code generation across the software development lifecycle. Learn to automate code completion, script creation, test cases, documentation, and architecture using tools like GitHub Copilot. Get hands-on with real-world demos building apps, refactoring code, and structuring React projects. Understand the challenges of GenAI, such as quality and adoption, and compare top tools like Copilot, Amazon Q, and ChatGPT through real use cases from Thoughtworks and Accenture.
No prior AI knowledge is required. Basic understanding of programming or software development is recommended.
By the end of this course, you will be able to:
- Use GenAI tools like GitHub Copilot to accelerate coding tasks
- Automate script creation, documentation, and test case generation
- Refactor legacy code and build structured application architectures
- Understand the limitations and challenges of AI in real-world dev environments
- Compare and evaluate the performance of leading GenAI coding tools
Ideal for developers, software engineers, and tech professionals exploring AI-driven development workflows.
AI explanation not available for this lesson yet
This lesson is still being prepared for the AI tutor. In the meantime, explore lessons that are ready.
Browse explainer-ready lessons →
More on: Agentic Coding
View skill →Related Reads
📰
📰
📰
📰
Supercharging Local Video Transcription with Python and Faster-Whisper
Medium · Python
Building Consistent AI Fashion Imagery for Product Catalogs
Hackernoon
DLSS 5 leaked and modders are putting Nvidia’s AI effects on everything
The Verge
From Chartered Accounting to Python: What Debugging My Own Code Taught Me About Thinking
Medium · Programming
🎓
Tutor Explanation
DeepCamp AI