GenAI for Code Migration Tasks Training

Übersicht

This beginner-friendly course explores how Generative AI revolutionizes code migration and optimization across the software development lifecycle. Learn to automate language conversion, framework shifts, version upgrades, and performance tuning using tools like GitHub Copilot.

Understand and compare manual vs AI-driven workflows, and explore real-world demos. Master the use of GenAI to improve time and space complexity, refactor legacy systems, and boost code efficiency and scalability.

Build practical skills to transform codebases with AI-powered automation, precision, and speed. 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 automate code migration and optimization tasks - Perform language conversion, framework shifts, and version upgrades using AI - Reduce time and space complexity through AI-powered code analysis - Evaluate GenAI adoption through real-world examples like Uber’s code transformation Ideal for developers, software engineers, and tech professionals seeking to modernize codebases using AI.

Lehrplan

• Code Migration with Generative AI
Explore how Generative AI streamlines code migration and optimization across multiple dimensions. Learn key migration types from language conversion to framework shifts and version upgrades using AI tools like GitHub Copilot. Compare manual vs AI-driven steps, and explore real-world demos to boost speed and accuracy. Analyze use cases like Uber’s refactoring for practical insights into GenAI-powered transformations.
• Code Optimization with Generative AI
Explore how Generative AI enhances code optimization by improving both performance and efficiency. Learn to analyze and reduce time and space complexity using GenAI tools. Understand optimization needs, techniques, and real-world impact through hands-on demos. Gain practical experience in transforming code quality, structure, and speed with AI-powered refactoring and complexity analysis.

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Unterrichtet von

Priyanka Mehta

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Fachgebiete

Computer Science