AI for Software Developers
Level up your development workflow with AI. Master Copilot, Cursor, AI-assisted debugging, code review, and AI-native architecture.
About This Course
This course is built specifically for software developers who want to integrate AI into every stage of the development lifecycle. From AI-powered code generation and debugging to building AI-native applications, you will learn to work 3-5x faster while maintaining code quality. Covers GitHub Copilot, Cursor, AI-assisted testing, and how to build applications that leverage LLMs.
Curriculum
What You'll Learn
- Use AI coding assistants (Copilot, Cursor) at expert level
- Build AI-native applications with LLM integration
- Implement RAG systems and AI-powered search
- Design AI agent architectures
- Write production-quality AI-integrated code
- Evaluate and deploy AI models in applications
Prerequisites
- •1+ years of programming experience
- •Familiarity with APIs and web development
- •Basic understanding of AI concepts
Who This Course Is For
- •Software developers and engineers
- •Full-stack developers
- •Backend developers building AI features
- •Technical leads managing AI projects
- Duration
- 8 weeks
- Level
- Intermediate
- Format
- Self-paced with code reviews
- Certificate
- Yes
- Language
- English
- Students
- 2,150 enrolled
- Rating
- ★ 4.8 (589 reviews)
Your Instructor
Alex Rivera
Staff Engineer & AI Developer Advocate
Alex has shipped AI features to millions of users at top tech companies. He contributes to open-source AI tools and teaches developers how to build with LLMs through his popular blog and conference talks.