Free GenAI Code Migration Course

GenAI for Code Migration & Optimization in JavaScript

• Lesson 01: Course Introduction

  04:15

  • 1.01 Course Introduction Generative AI in Code Migration and Optimization​

    04:15

• Lesson 02: Learning Objectives

  01:47

  • 2.01 Learning Objectives

    01:47

• Lesson 03: Code Migration Streamlining with Generative AI

  25:41

  • 3.01 Code Migration Streamlining with Generative AI

    03:44

  • 3.02 Generativ AI Tools for Code Migration​

    01:46

  • 3.03 Language Conversion with Generative AI​

    00:47

  • 3.04 Steps in Language Conversion Without Generative AI​

    01:40

  • 3.05 Steps in Language Conversion with Generative AI​

    02:19

  • 3.06 Framework Migration

    00:37

  • 3.07 Steps for Framework Migration Without Generative AI​

    01:28

  • 3.08 Steps for Framework Migration with Generative AI

    01:29

  • 3.09 Demo Implementing Framework Migration Using Github Copilot

    05:06

  • 3.10 Version Upgrades

    00:29

  • 3.11 Steps in Version Upgrades Without Generative AI

    01:07

  • 3.12 Steps in Version Upgrades with Generative AI

    01:24

  • 3.13 Version Upgrades Example

    00:45

  • 3.14 Limitations of GenAI

    02:06

  • 3.15 Use Case Uber's Code Migration and Refactoring

    00:54

• Lesson 04: Optimizing Codebase Using Generative AI

  08:23

  • 4.01 Optimizing Codebase Using Generative AI

    03:06

  • 4.02 Why Do You Need Code Optimization​

    01:27

  • 4.03 What Generative AI Does in Code Optimization​

    00:41

  • 4.04 How Generative AI Helps in Code Optimization

    01:12

  • 4.05 Generative AI Tools for Code Optimization​

    00:47

  • 4.06 Balancing Optimization with Readability and Maintainability​

    01:10

• Lesson 05: GitHub Copilot for Code Optimization

  07:41

  • 5.01 GitHub Copilot for Code Optimization

    01:44

  • 5.02 Challenges of Implementing GitHub Copilot

    01:22

  • 5.03 Disadvantage of Implementing GitHub Copilot

    01:10

  • 5.04 Demo Analyzing and Improving the Time Complexity of Existing Code Using GitHub Copilot

    03:25

• Lesson 06: Enhancing Code Performance Time Complexity

  02:47

  • 6.01 Enhancing Code Performance Time Complexity

    02:47

• Lesson 07: Code Optimization Space Complexity

  05:13

  • 7.01 Code Optimization Space Complexity

    02:30

  • 7.02 Demo Improving Space Complexity Using Generative AI

    02:43

• Lesson 08: Advanced Applications and Future Trends of GitHub Copilot

  12:45

  • 8.01 Advanced Applications of GitHub Copilot​

    07:00

  • 8.02 Futher Trends

    02:41

  • 8.03 Ethical Considerations​

    03:04

• Lesson 09: Case Study: IBMs Legacy System Modernization with GitHub Copilot

  08:39

  • 9.01 Case Study Background and Challenges

    01:41

  • 9.02 GitHub Copilot Implementation by IBM

    04:34

  • 9.03 Business Impact and Conclusion by IBM

    01:22

  • 9.04 Key Takeaways

    01:02

  • Knowledge Check