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URL: https://www.coursera.org/learn/generative-ai-for-code-generation-training

⇱ Generative AI for Code Generation Training | Coursera

Generative AI for Code Generation Training

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Generative AI for Code Generation Training

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • 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

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

7 assignments

Taught in English

Build your subject-matter expertise

This course is part of the AI-Powered Software Development Certification Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 2 modules in this course

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.

What's included

13 videos1 reading3 assignments

13 videos•Total 87 minutes
  • Phases in Software Development•3 minutes
  • Automated Code Generation (ACG)•8 minutes
  • Enhancing Coding Efficiency with Generative AI•2 minutes
  • Code Completion and Suggestions•4 minutes
  • Demo: Building a To-Do List Application Using GitHub Copilot•12 minutes
  • Custom Script Generation•4 minutes
  • Demo: Building a Grocery App with GitHub Copilot and Flask•8 minutes
  • Automated Documentation•3 minutes
  • Demo: Automating Boilerplate Code Generation with GitHub Copilot•26 minutes
  • Legacy Code Refactoring•4 minutes
  • Test Case Generation•2 minutes
  • Demo: Generating Component Architecture and Building a Structured React Blog Using GitHub Copilot•8 minutes
  • Demo: Using a Pretrained Model to Create an Application Structure•3 minutes
1 reading•Total 10 minutes
  • Course Syllabus•10 minutes
3 assignments•Total 70 minutes
  • Assessment for Foundations and Applications of Generative AI in Code Generation•40 minutes
  • Quiz on Leveraging Generative AI for Code Generation•15 minutes
  • Quiz on How Generative AI is Transforming Code Generation?•15 minutes

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.

What's included

4 videos4 assignments

4 videos•Total 15 minutes
  • Code Complexity, Quality and Reliability, and User Adoption•5 minutes
  • Use Cases on Thoughtworks and Accenture•5 minutes
  • Research Objective and Results•3 minutes
  • Key Takeaways•2 minutes
4 assignments•Total 85 minutes
  • Assessment for Evaluation, Challenges, and Real-World Use Cases•40 minutes
  • Quiz on Challenges of Generative AI in Code Generation•15 minutes
  • Quiz on Use Cases: Generative AI in Code Generation•15 minutes
  • Quiz on Comparing AI Code Generation Tools: GitHub Copilot, Amazon Q, and ChatGPT•15 minutes

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Instructor

Simplilearn
87 Courses•77,899 learners

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Frequently asked questions

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.

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

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.

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.

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.

Financial aid available,