SOFTWARE DEVELOPMENT · 2 WEEKS · 48 LESSONS
Coding a Review Bot with AI
Build an AI-powered code review bot from scratch using AI tools.
Learn to create an AI-powered code review bot using GitHub Actions and large language models. This course covers the fundamentals of automated code reviews, GitHub Actions, and leveraging AI tools like Gemini, Claude Code, and Chat GPT for development tasks. You will build a functional review bot and explore its practical applications.
01 — What learners say
Real feedback from real learners.
“The Rust Fundamentals course was fantastic for formalizing my base Rust knowledge. It was well-paced for both beginner and experienced developers.”
“The course was incredibly informative and well-structured. I gained practical skills that immediately applied in my work, making it a highly valuable learning experience.”
“The course on AI Fundamentals is not only engaging but also practical. Having worked with AWS before, the way it explained Azure cncepts made switching seamless and easy to grasp.”
“I can say that it's a great series of courses for those who are looking to practical MLOps knowledge.”
“This course got clear videos, exercises, and questions, and there are extra resources too. When you're done, you'll have a solid foundation to dive into topics like DevOps or ML.”
02 — Why this course
What you'll walk away with.
Learn to create an AI-powered code review bot using GitHub Actions and large language models. This course covers the fundamentals of automated code reviews, GitHub Actions, and leveraging AI tools like Gemini, Claude Code, and Chat GPT for development tasks. You will build a functional review bot and explore its practical applications.
Use Gemini CLI, Claude Code, and Chat GPT to assist development
Understand the basics of GitHub Actions and their role in automation
Learn how to leverage large language models for development tasks
Develop a strategy for defining code review criteria and standards
03 — Syllabus
2 weeks, 48 lessons total.
- Introduction
- Why Automate code reviews with AI
- Architectural overview
- Understanding Github actions basics
- Leveraging LLMS for development
- Conclusion
- Introduction
- Creating the Github action in Github
- Using the BOT in a pull request
- Challenges with Generative AI
- Exploring additional features
- Conclusion
04 — For teams
Custom training for your company.
We're ready to deliver this and other courses to your team. We accommodate different requirements and are flexible with seat count.
- +Bulk pricing available
- +Customizable content
- +Ready to start on your schedule
05 — Individual access
Simple, straightforward pricing.
Full platform access — every current and future course — priced so cost isn't what decides whether you learn.
No commitment required. Cancel anytime.