Generative AI for Code Generation Training

Übersicht

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.

Lehrplan

• Foundations and Applications of Generative AI in Code Generation
Explore how Generative AI revolutionizes code generation across the software development lifecycle. Learn to automate tasks like code completion, custom script creation, test case generation, and documentation using tools like GitHub Copilot. Hands-on demos include building apps, refactoring legacy code, and generating project architecture for faster, smarter development.
• Evaluation, Challenges, and Real-World Use Cases
Understand the challenges of using Generative AI in code generation, including complexity, quality, and user adoption. Explore real-world use cases from Thoughtworks and Accenture. Compare top AI coding tools like GitHub Copilot, Amazon Q, and ChatGPT. Review key findings and takeaways to evaluate GenAI’s impact on modern development workflows.

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Unterrichtet von

Priyanka Mehta

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Fachgebiete

Computer Science