Generative AI for Code Generation Training

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Generative AI for Code Generation Training

This course is part of AI-Powered Software Development Certification Specialization

Instructor: Priyanka Mehta

Included with Coursera Plus

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2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

2 modules

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

Skills you'll gain

Details to know

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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 assignments1 plugin

13 videosTotal 86 minutes

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

1 readingTotal 10 minutes

Course Syllabus10 minutes

3 assignmentsTotal 70 minutes

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

1 pluginTotal 15 minutes

Accelerating Development: Applying GenAI in Real-World Code Generation15 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 assignments1 plugin

4 videosTotal 14 minutes

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

4 assignmentsTotal 85 minutes

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

1 pluginTotal 15 minutes

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

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Instructor

Priyanka Mehta

Simplilearn

57 Courses15,110 learners

Offered by

Simplilearn

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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.

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.