Roadmaps

Three stages, one path. Tick each step when you finish it. Your progress is saved only in this browser, never sent anywhere.

Stage 1

Beginner

Use AI tools well and understand how they work. No code.

  1. Lessons for What AI Is
  2. Lessons for How LLMs Work
  3. Lessons for Trust, Hallucination and Safety
  4. Lessons for AI at Work
  5. Lessons for Chat Assistants
  6. Lessons for Research and Knowledge Tools
  7. Lessons for Office and Productivity
  8. Lessons for Prompt Basics
  9. Lessons for Prompts for Work
  10. Lessons for AI for Your Current Job

Stage 2

Builder

Build agents, RAG chatbots and automations in Python.

  1. Lessons for Setup
  2. Lessons for Python Fundamentals
  3. Lessons for Data, JSON and APIs
  4. Lessons for How AI Apps Work
  5. Lessons for Open and Local Models
  6. Lessons for Core API Skills
  7. Lessons for RAG Concepts
  8. Lessons for Ingestion and Chunking
  9. Lessons for Vector Databases (One Lesson per Tool)
  10. Lessons for Agent Foundations
  11. Lessons for Build an Agent From Scratch
  12. Lessons for Model Context Protocol (MCP)
  13. Lessons for Automation Basics
  14. Lessons for n8n AI Agents

Stage 3

Pro

Ship AI that real users rely on: tested, observed, secure and affordable.

  1. Lessons for RAG Evaluation
  2. Lessons for RAG in Production
  3. Lessons for LangGraph Deep Dive
  4. Lessons for Multi-Agent Patterns
  5. Lessons for Human-in-the-Loop and Guardrails
  6. Lessons for Testing and Evals
  7. Lessons for Observability
  8. Lessons for Cost, Caching and Routing
  9. Lessons for Security
  10. Lessons for Deployment
  11. Lessons for Build Voice Agents
  12. Lessons for Fine-Tuning Methods
  13. Lessons for Portfolio