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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
Customer Reviews (4)
- will recommend Review by Course Participant/Trainee
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As the only student the size of the class is fine but I think if there are more students, the seats are too close to each other so as to avoid infection or interfering the neighbour1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment
The course was interesting, the content was definitely detailed enough and as the only student I got undivided attention which is great. I hope to be able to grasp what I learned properly and apply it effectively. (Posted on 08/11/2023) - might recommend Review by Course Participant/Trainee
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For a free course, it's very informative for the general public. It covers a broad range of use cases and it's quite comprehensive. But for someone who is (working) in the tech industry, -most of things in the course are common knowledge. Nevertheless, with the right target audience, this course is quite impressive, especially the range AI tools introduced (Posted on 11/03/2023)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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. (Posted on 11/03/2023)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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Create a workshop for hands-on practice. (Posted on 11/03/2023)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment
