Course Structure
Module 1
Understanding the Tools
- How LLMs and agents work
- Capabilities and limitations
- Context windows and grounding
Module 2
Methodology
- Systematic prompting approaches
- Grounding techniques
- Workflow design patterns
Module 3
Practical Techniques
- Production workflows
- Code review and testing
- Debugging and refactoring
Why This Course
🏢
Enterprise Proven
Battle-tested methodologies validated in production with million+ LOC codebases at scale
⚡
Production Scale
Patterns proven on large-scale enterprise systems, not academic demos or toy examples
🎯
Architecture at Scale
System design decisions, scalability patterns, security, and performance for real-world complexity
🤝
Team Ready
Workflows that work for both solo developers and engineering teams in production environments
Prerequisites
✓ You should have
- 3+ years professional software engineering experience
- Access to a CLI coding agent (Claude Code, Aider, Cursor, or similar)
- Solid understanding of data structures and design patterns
- Experience with system design and architectural decisions
✗ Not required
- Prior AI or machine learning experience
- Deep knowledge of transformer architectures
- Specific programming language (examples use TypeScript, Python, etc.)
Get Started
Begin with Understanding the Tools to learn how LLMs and coding agents work