The "Get Shit Done with AI" Bootcamp focuses on real-world applications that will equip you with the skills and knowledge to become a great AI engineer.
Category | Lesson | Tutorial | Video |
---|---|---|---|
AI/ML Foundations | Python Essentials for AI Engineering | Read | |
Mathematics is the Language of AI | Read | ||
Start Simple - The Power of Linear Models | Read | ||
Essential PyTorch for Real-World Applications | Read | ||
MLOps & Production | Understanding Your Data - Data Exploration | Read | |
Fueling Production AI - Data Validation & Pipelines | Read | ||
Reproducible Training - ML Pipelines & Experiment Tracking | Read | ||
From Model to Service - Building and Dockerizing APIs | Read | ||
Serving at Scale - Cloud Deployment with AWS | Read | ||
AI Systems | Prompt Engineering | Read | |
The AI Engineer Toolkit - APIs, structured output, tools | Read | Watch | |
LangChain Foundations - An Engineer's Guide | Read | Watch | |
Connect AI to External Systems - Model Context Protocol | Read | Watch | |
Lies, Damn Lies and Hallucinations - Evaluating your LLMs | Read | ||
RAG & Context | Build a Chatbot with Memory | Read | Watch |
Use External Knowledge - Build a Cache-Augmented Generation (CAG) System | Read | Watch | |
Create Knowledge for Your Models - Document Processing | Read | Watch | |
Build a Retrieval-Augmented Generation System | Read | Watch | |
AI Agents & Workflows | Choosing Your Approach - Workflows vs Agents | Read | |
Teamwork Makes the Dream Work - Build Agentic Workflow | Read | Watch | |
Thinking and Acting - Build an AI Agent | Read | Watch | |
Chat With Your Data - A Local MCP AI Agent | Read | Watch |