AI Fundamentals
Learn how to actually use Gen AI to get work done in 2026 - prompting that works, choosing models, tools and agents, coding assistants, MCP, and working with your own data - all hands-on against real models through the lab's AI gateway.
26 topics27 hands-on tasks25 quizzes~955 min
- Step 101 - What is Generative AI
- Step 202 - The AI tool landscape
- Step 303 - What you can do with AI
- Step 404 - AI absolute basics
- Step 505 - Calling LLMs over an API
- Step 606 - Writing prompts that work
- Step 707 - Prompting with examples
- Step 808 - Step-by-step prompting
- Step 909 - AI roles and personas
- Step 1010 - Controlling the output
- Step 1111 - Improving your prompts
- Step 1212 - Multi-turn conversations
- Step 1313 - Choosing a model
- Step 1414 - Tokens and cost
- Step 1515 - Structured output with JSON
- Step 1616 - Tool Calling
- Step 1717 - AI Coding Assistants
- Step 1818 - Model Context Protocol
- Step 1919 - Using the API in real code
- Step 2020 - LangChain basics
- Step 2121 - Building Agents
- Step 2222 - Limitations and safety
- Step 2323 - Using your own data
- Step 2424 - Project: support ticket triage tool
- Step 2525 - Project: log explainer CLI
- Step 2626 - Project: grounded runbook assistant