Course Details
Topic 1: Claude Code Architecture & RAG Foundations
- Overview of Agentic Coding and Claude Code architecture
- How Claude navigates codebases and uses tools (filesystem, terminal, GitHub, MCP servers)
- Memory persistence and cross-session context
- Understanding RAG chatbot architecture (embeddings, vector DB, backend, frontend, data flow)
- Creating and structuring
CLAUDE.mdfor persistent project knowledge - Managing context using file references, screenshots, and
escape,clear,compactcommands - Hands-on: Initialize RAG project and document architecture
Topic 2: Agentic Development, Testing & Git Workflows
- Planning-first development to improve Claude performance
- Using thinking mode for complex tasks
- Brainstorming with subagents
- Adding backend and frontend features to a RAG chatbot
- Writing automated tests and refactoring chatbot components
- Running parallel Claude sessions using Git worktrees
- Fixing GitHub issues and managing PRs with Claude Code integration
- Hands-on: Build feature branch, test, create and merge PR
Topic 3: Advanced Tooling, Automation & AI-Driven UI
- Using Claude Code hooks to execute pre/post tool commands
- Refactoring a Jupyter notebook into a production dashboard
- Connecting Claude to Figma MCP to import mockups and generate UI
- Building a web interface using Federal Reserve Economic Data
- Using Playwright MCP to automate browser testing and capture screenshots
- Iteratively improving UI design with Claude feedback
- Hands-on: Convert notebook to dashboard and auto-test UI with Playwright
Job Roles
- AI Developer
- Full Stack Developer
- Machine Learning Engineer
- Software Engineer
- DevOps Engineer
- AI Solutions Architect
- Backend Developer
- Frontend Developer
- Data Engineer
- Prompt Engineer
- AI Product Manager
- Technical Lead
- Automation Engineer
- Platform Engineer
- QA Automation Engineer
- Cloud Developer
- AI Research Engineer
- Developer Advocate
- Technical Consultant
- Engineering Manager




