GenAI for Code Migration Tasks Training

GenAI for Code Migration Tasks Training

本课程是 AI-Powered Software Development Certification 专项课程的一部分

位教师：Priyanka Mehta

访问权限由 New York State Department of Labor 提供

2个模块

深入了解一个主题并学习基础知识。

初级等级

推荐体验

5 小时完成

灵活的计划

自行安排学习进度

2个模块

深入了解一个主题并学习基础知识。

初级等级

推荐体验

5 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Automate code migration tasks like language conversion, framework shifts, and version upgrades using GenAI
Optimize code performance by reducing time and space complexity with AI tools
Refactor legacy code to enhance structure, maintainability, and efficiency
Apply real-world GenAI use cases, including Uber’s transformation, to practical coding scenarios

您将获得的技能

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

7 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 AI-Powered Software Development Certification 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有2个模块

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.

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.

涵盖的内容

18个视频1篇阅读材料3个作业

18个视频总计82分钟

Learning Objectives 3分钟
Code Migration 2分钟
Types of Code Migration 3分钟
Generative AI in Code Migration: Advantages 3分钟
Generative AI Tools for Code Migration 5分钟
Language Conversion with Generative AI 2分钟
Steps in Language Conversion Without Generative AI 3分钟
Steps in Language Conversion Using Generative AI 2分钟
Demo: Facilitating Language Conversion Using Generative AI 15分钟
Framework Migration 2分钟
Steps for Framework Migration Without Generative AI 5分钟
Steps for Framework Migration Using Generative AI 2分钟
Demo: Implementing Framework Migration Using Generative AI 25分钟
Version Upgrades 2分钟
Steps in Version Upgrades Without Generative AI 3分钟
Steps in Version Upgrades Using Generative AI 2分钟
Version Upgrades: Example 2分钟
Use Case: Uber's Code Migration and Refactoring 2分钟

1篇阅读材料总计10分钟

Course Syllabus 10分钟

3个作业总计70分钟

Assessment for Code Migration with Generative AI 40分钟
Quiz on Code Migration: Streamlining with Generative AI 15分钟
Quiz on Use Cases of Using Generative AI in Code Optimization 15分钟

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.