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Generative AI - Your Personal Code Reviewer

Generative AI - Your Personal Code Reviewer

This course is part of Generative AI for Developers Specialization

Instructor: Fractal Analytics Academy

Included with

Learn more

1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Explain the role and capabilities of generative AI in the code review process.
Evaluate code quality and debugging outcomes achieved through AI-powered techniques.
Implement prompt engineering strategies to optimize code generation and enhance efficiency.
Assess ethical considerations and best practices for responsible use of generative AI in development.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

3 assignments¹

AI Graded see disclaimer

Taught in English

91%

of learners achieved a positive career outcome

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

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Build your subject-matter expertise

This course is part of the Generative AI for Developers 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 is 1 module in this course

Dive into the future of coding with our comprehensive course, “Generative AI—Your Personal Code Reviewer.” This immersive program is designed for developers, tech enthusiasts, and learners eager to unlock the power of generative AI for code review and optimization.

Throughout this journey, you’ll gain in-depth knowledge in leveraging AI to streamline code assessment and debugging. Start by exploring the fundamentals of generative AI, then advance to practical techniques like code commenting, debugging, code refactoring, and code generation for tasks such as data cleaning and machine learning workflows. You’ll also master prompt engineering to craft effective prompts for AI tools and learn to navigate ethical considerations and common pitfalls when using generative AI for development. By the end of this course, you’ll have the skills to integrate AI into your coding process, improving code quality, efficiency, and productivity. Join us and transform your approach to code review with generative AI.

Module details

In this module, you will explore the capabilities of generative AI in the code review process. Through practical applications, you will master advanced coding techniques, including identifying and resolving common coding errors. You will also delve into prompt engineering strategies to optimize code generation outcomes and enhance efficiency. Ethical considerations and best practices for using generative AI tools responsibly will also be emphasized. At the end of this module, you will be equipped with the skills to leverage generative AI effectively for code review, debugging, and enhancing overall code quality.

What's included

16 videos12 readings3 assignments1 peer review5 ungraded labs6 plugins

16 videosTotal 98 minutes

Course Introduction2 minutes
Generative AI as a Code Reviewer4 minutes
Generative AI and Coding6 minutes
Natural Language Descriptions and Code Generation6 minutes
Debugging Codes with Generative AI7 minutes
Debugging Existing Codes Using Generative AI9 minutes
Adding Code Comments Using Generative AI5 minutes
Generative AI and Code Refactoring7 minutes
Generative AI and Code Refactoring: One Step Further6 minutes
Generative AI and Exploratory Data Analysis: Fundamentals6 minutes
Generative AI and Exploratory Data Analysis: Exploring Further8 minutes
Converting Features with Generative AI6 minutes
Generative AI and Machine Learning6 minutes
Generative AI Trends for Code Generation4 minutes
Data Processing with ChatGPT Plus9 minutes
Building a Machine Learning Model with ChatGPT Plus6 minutes

12 readingsTotal 125 minutes

Course Syllabus3 minutes
Common Errors While Coding10 minutes
Why Should You add Comments to Your Code?10 minutes
Code Refactoring - The Why's10 minutes
Pitfalls and Ethical considerations while using GenAI for code review and debugging15 minutes
Invalid libraries, Methods, and Other Pitfalls10 minutes
Best Practices for Effectively using Generative AI15 minutes
The Possibilities & Challenges of Generative AI in Coding10 minutes
Case Studies: Leveraging Generative AI to solve real-world coding challenges20 minutes
Prompt Engineering for Developers15 minutes
Congratulations5 minutes
Acknowledgments2 minutes

3 assignmentsTotal 35 minutes

Code Error Mastery with Generative AI10 minutes
Generative AI & Coding - Possibilities and Trends10 minutes
Generative AI & Coding - Exploring Trends and the Future15 minutes

1 peer reviewTotal 120 minutes

Data Cleaning and Visualization with Generative AI Assistance120 minutes

5 ungraded labsTotal 390 minutes

Finding Code Errors with Generative AI30 minutes
Debugging Code Errors using Generative AI90 minutes
Adding Code Comment with Generative AI60 minutes
Code Refactoring With Generative AI90 minutes
Exploratory Data Analysis with Generative AI120 minutes

6 pluginsTotal 90 minutes

Generative AI: From Human, to Machine, to Artificial Intelligence15 minutes
The Current State of AI and the Future of Developers15 minutes
AI and the future of Developers15 minutes
The Future of Work - How to Stay Relevant in the AI Age15 minutes
What's next for AI agentic workflows ft. Andrew Ng of AI Fund15 minutes
How Developers might stop worrying about AI taking software jobs and Learn to Profit from LLMs15 minutes