How does this course help in real-world development?

It prepares you to streamline development tasks, boost productivity, and adopt GenAI tools used by companies like Accenture and Thoughtworks.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Generative AI for Code Generation Training

Generative AI for Code Generation Training

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

位教师：Priyanka Mehta

包含在 Coursera Plus 中

了解更多

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

4 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

4 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, scripts, test cases, and documentation using GitHub Copilot
Build and refactor apps with GenAI, including React project structures
Understand GenAI challenges like code quality, complexity, and adoption
Compare top AI coding tools through real-world use cases from leading firms

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

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 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.

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.

涵盖的内容

13个视频1篇阅读材料3个作业1个插件

13个视频总计86分钟

Phases in Software Development2分钟
Automated Code Generation (ACG)7分钟
Enhancing Coding Efficiency with Generative AI1分钟
Code Completion and Suggestions4分钟
Demo: Building a To-Do List Application Using GitHub Copilot11分钟
Custom Script Generation3分钟
Demo: Building a Grocery App with GitHub Copilot and Flask8分钟
Automated Documentation2分钟
Demo: Automating Boilerplate Code Generation with GitHub Copilot26分钟
Legacy Code Refactoring3分钟
Test Case Generation2分钟
Demo: Generating Component Architecture and Building a Structured React Blog Using GitHub Copilot8分钟
Demo: Using a Pretrained Model to Create an Application Structure3分钟

1篇阅读材料总计10分钟

Course Syllabus10分钟

3个作业总计70分钟

Quiz on Leveraging Generative AI for Code Generation15分钟
Quiz on How Generative AI is Transforming Code Generation?15分钟
Assessment for Foundations and Applications of Generative AI in Code Generation40分钟

1个插件总计15分钟

Accelerating Development: Applying GenAI in Real-World Code Generation15分钟

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.

涵盖的内容

4个视频4个作业1个插件

4个视频总计14分钟

Code Complexity, Quality and Reliability, and User Adoption5分钟
Use Cases on Thoughtworks and Accenture4分钟
Research Objective and Results3分钟
Key Takeaways1分钟

4个作业总计85分钟

Quiz on Challenges of Generative AI in Code Generation15分钟
Quiz on Use Cases: Generative AI in Code Generation15分钟
Quiz on Comparing AI Code Generation Tools: GitHub Copilot, Amazon Q, and ChatGPT15分钟
Assessment for Evaluation, Challenges, and Real-World Use Cases40分钟

1个插件总计15分钟

Understanding the Real Impact of GenAI: Challenges, Use Cases, and Tool Evaluation15分钟

获得职业证书

将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。

位教师

Priyanka Mehta

Simplilearn

62 门课程25,872 名学生

提供方

Simplilearn

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常见问题

Yes, generative AI tools like GitHub Copilot can help you write, complete, and refactor code efficiently using natural language prompts.

GitHub Copilot, Amazon Q, and ChatGPT are leading tools, each offering strengths across automation, testing, and project structuring.

You’ll learn to automate scripts, test cases, and documentation, refactor legacy code, and evaluate top AI coding tools for real-world use.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.