AI From A to Z

A calm, practical course on AI: how it really works under the hood, how to use it every day, and how to build your own bots and agents. Short lessons, real screens, plain words.
150 lessons14 modules≈11.5 hours5 min or less eachEnglish
MODULE 1 · LESSON 1 · 3 MIN

Welcome: what AI is + the map of the big platforms

It predicts, it doesn't know. Then a quick tour of ChatGPT, Claude, Gemini, Copilot, Meta AI, Grok, Perplexity, DeepSeek and Mistral Vibe, and a try-it-now task. Download (17 MB)

All lessons

Module 1Start Here (Beginner)7 lessons
  1. 1Welcome: what AI is + the map of the big platforms▶ Watch · 3 min
  2. 2The 6 families of AI tools (chat, image, video, voice, agents, code) + "same question, different answer" demoComing soon
  3. 3Your first conversationComing soon
  4. 4Free vs paid: what you actually getComing soon
  5. 5Voice mode & cameraComing soon
  6. 6Uploading files & photosComing soon
  7. 7Staying safe from day oneComing soon
Module 2Under the Hood: How AI Really Works35 lessons
  1. Like knowing how a pen writes or how an engine works: the real mechanism of AI, from first principles, with everyday analogies. No maths beyond adding and multiplying.
  2. A. Inside the machine
  3. 8What a computer really does: switches, bits and instructionsComing soon
  4. 9Everything becomes numbers: words, photos and soundComing soon
  5. 10From rules to learning: a short history of AIComing soon
  6. B. How a machine learns
  7. 11What a "model" really is: a recipe with adjustable dialsComing soon
  8. 12The artificial neuron: a tiny weighted voteComing soon
  9. 13Neural networks: layers of votes, from lines to facesComing soon
  10. 14Weights & parameters: what "70 billion parameters" really meansComing soon
  11. 15Training: guess, check, nudge (the loss and walking downhill)Coming soon
  12. 16Overfitting: memorising the answer key vs actually learningComing soon
  13. C. How ChatGPT writes
  14. 17Tokens: how text gets chopped upComing soon
  15. 18Embeddings: words as points on a map of meaningComing soon
  16. 19Attention: how each word looks at every other wordComing soon
  17. 20The transformer: the whole engine, layer by layerComing soon
  18. 21Next-token prediction, step by step: a worked exampleComing soon
  19. 22Pretraining: reading the internet — and why prediction can write code and reasonComing soon
  20. 23From autocomplete to assistant: instruction tuning, human feedback & constitutionsComing soon
  21. 24System prompts & the context window: why it forgetsComing soon
  22. 25Hallucinations explained mechanicallyComing soon
  23. 26"Thinking" models: chain of thought and test-time computeComing soon
  24. D. Hardware & money
  25. 27GPUs & data centers: the factory behind AIComing soon
  26. 28Training vs running: why AI costs what it costs — and why there are limitsComing soon
  27. 29Open vs closed models, and running AI on your own computerComing soon
  28. E. Beyond text: pictures, voices, video
  29. 30How AI sees, and multimodal modelsComing soon
  30. 31Diffusion: how AI paints by un-blurring noiseComing soon
  31. 32Voice AI: speech-to-text, text-to-speech and voice cloningComing soon
  32. F. From model to agent
  33. 33RAG & search: handing the model the right pages firstComing soon
  34. 34Tools & function calling: how a text predictor presses buttonsComing soon
  35. 35Agents: the think → act → observe loopComing soon
  36. 36Memory features & MCP: how AI remembers you and plugs into your appsComing soon
  37. G. Limits, safety & privacy
  38. 37What AI can't do, and does it really "understand"?Coming soon
  39. 38Bias: where it comes fromComing soon
  40. 39Alignment, safety, jailbreaks & prompt injectionComing soon
  41. 40Privacy: where your words actually goComing soon
  42. H. The big picture
  43. 41AGI: hype vs reality — and how to keep up without drowningComing soon
  44. 42Putting it all together: one question, from your keystroke to the answerComing soon
Module 3The Big Platforms, one by one (Beginner→Intermediate)11 lessons
  1. 43ChatGPT tourComing soon
  2. 44Claude tourComing soon
  3. 45Gemini tourComing soon
  4. 46Microsoft Copilot tourComing soon
  5. 47Meta AI tour (WhatsApp/Instagram)Coming soon
  6. 48Grok tourComing soon
  7. 49Perplexity tourComing soon
  8. 50DeepSeek & QwenComing soon
  9. 51Mistral Vibe (formerly Le Chat)Coming soon
  10. 52Head-to-head: same task, 5 assistantsComing soon
  11. 53Which assistant for whatComing soon
Module 4Trust, Ownership & Reliability5 lessons
  1. 54Who owns the AI you useComing soon
  2. 55Reliability scorecardComing soon
  3. 56When AI products disappearComing soon
  4. 57Verifying AI answers in 60 secondsComing soon
  5. 58Sycophancy & "yes-man" answers in practiceComing soon
Module 5Prompting Like a Pro7 lessons
  1. 59The 5-part prompt (role, task, context, format, limits)Coming soon
  2. 60Examples beat instructions (few-shot)Coming soon
  3. 61Make it think: step-by-step & reasoning modelsComing soon
  4. 62Iterating: the conversation is the promptComing soon
  5. 63Output control: tables, JSON, checklists, toneComing soon
  6. 64Prompt library: save and reuse your best promptsComing soon
  7. 65Common prompt mistakes and fixesComing soon
Module 6Personal Life & Productivity6 lessons
  1. 66Research anything with Deep ResearchComing soon
  2. 67Gemini Notebook (ex-NotebookLM): learn any topic from your own docsComing soon
  3. 68Email & writing help that sounds like youComing soon
  4. 69Travel, health, money questionsComing soon
  5. 70Memory & personalizationComing soon
  6. 71AI on your phone: daily workflowsComing soon
Module 7Creating: Images, Video, Voice, Music9 lessons
  1. 72Images 101 in ChatGPT & GeminiComing soon
  2. 73Midjourney V8 for pro-grade imagesComing soon
  3. 74Product & property photos: enhance and edit with AIComing soon
  4. 75AI video: Veo 3.1 / FlowComing soon
  5. 76Kling, Runway & friendsComing soon
  6. 77Voice cloning & voiceovers with ElevenLabsComing soon
  7. 78Music with SunoComing soon
  8. 79Avatars & talking-head videos (HeyGen/Synthesia)Coming soon
  9. 80Copyright, likeness & what you can sellComing soon
Module 8AI at Work (Office & Teams)6 lessons
  1. 81Excel/Sheets with AIComing soon
  2. 82Word/DocsComing soon
  3. 83PowerPoint/SlidesComing soon
  4. 84Meetings: notes, actions, follow-upsComing soon
  5. 85Notion AI & knowledge basesComing soon
  6. 86Rolling AI out to a team: rules, accounts, trainingComing soon
Module 9Business Use Cases (generic + short-term-rental/real-estate examples)8 lessons
  1. 87Marketing: listings, ads, social posts in your brand voiceComing soon
  2. 88Customer service: AI replies, guest messaging, FAQ botsComing soon
  3. 89Sales & lead researchComing soon
  4. 90Operations: SOPs, checklists, schedulingComing soon
  5. 91Finance: bookkeeping help, reading statements, forecasting (with checks)Coming soon
  6. 92Real estate & STR: deal analysis, market comps, pricing ideasComing soon
  7. 93Hiring & HR with AIComing soon
  8. 94Measuring ROI: is AI actually saving you money?Coming soon
Module 10Build Your Own Bots & Agents (full track: beginner → developer)38 lessons
  1. A. Foundations
  2. 95Bot vs assistant vs agentComing soon
  3. 96Anatomy of any agent: model, instructions, knowledge, tools, memory, triggers, guardrailsComing soon
  4. 97Ready-made agents you can use today: ChatGPT agent mode, Claude in Chrome, Perplexity Comet, Gemini agentComing soon
  5. 98Picking the right way to build (no-code vs automation tool vs code)Coming soon
  6. B. No-code assistants (built in minutes, no code)
  7. 99Custom GPTs: build a "Guest Questions" GPT from a house manualComing soon
  8. 100ChatGPT Projects + apps/connectors: a working assistant for one jobComing soon
  9. 101Claude Projects + Skills: knowledge + instructions, share with a teamComing soon
  10. 102Gemini Gems + Gemini Notebook (ex-NotebookLM) as a knowledge botComing soon
  11. 103Microsoft Copilot Studio & M365 Copilot agentsComing soon
  12. 104Writing great bot instructions (the system prompt) + testing with 10 tricky questionsComing soon
  13. 105Giving a bot knowledge the right way: files, websites, FAQs, keeping it up to dateComing soon
  14. C. No-code agent builders & automation
  15. 106Zapier: AI steps + Zapier AgentsComing soon
  16. 107Make: an AI scenario (incoming email → classify → draft reply → approval)Coming soon
  17. 108n8n part 1: the AI Agent nodeComing soon
  18. 109n8n part 2: self-host on a cheap VPS, credentials, webhooks, backupsComing soon
  19. 110Visual agent builders compared: OpenAI Agent Builder (AgentKit), Relevance AI, Lindy, Gumloop, VoiceflowComing soon
  20. 111Voice agents: an AI that answers the phone (ElevenLabs Agents, Vapi, Retell)Coming soon
  21. 112Scheduled & triggered agents: run every morning, on new email, on a formComing soon
  22. D. Deploying bots where people are
  23. 113Website chatbot: train on your site + embed the widgetComing soon
  24. 114WhatsApp bot, step by step: WhatsApp Business Platform, Meta app, phone number, templates, the 24-hour rule, connect to n8n/AIComing soon
  25. 115WhatsApp bot part 2: hand-off to a human, opt-out, costs per conversation, staying within Meta rulesComing soon
  26. 116Telegram, Messenger, Instagram DM & SMS botsComing soon
  27. 117Slack, Teams & email bots: a helper inside your team chatComing soon
  28. E. Building agents with code (developer level)
  29. 118Your first API agent: the tool-calling loop in 30 lines of PythonComing soon
  30. 119Structured outputs & reliable tool calls (JSON schema, retries, validation)Coming soon
  31. 120OpenAI Agents SDK / Responses API: tools, handoffs, guardrails, tracingComing soon
  32. 121Claude Agent SDK: an agent that reads files, runs commands and finishes a taskComing soon
  33. 122MCP part 1: what the Model Context Protocol is + connecting ready MCP servers to Claude, ChatGPT, CursorComing soon
  34. 123MCP part 2: build your own MCP server for your own data in ~20 linesComing soon
  35. 124Browser agents in code: Playwright + Stagehand/Browserbase, logins, CAPTCHAs, what breaksComing soon
  36. 125Computer-use agents: AI that sees the screen and clicks (Claude computer use, OpenAI computer-use)Coming soon
  37. 126Memory & knowledge for agents: RAG, vector stores, long-term memoryComing soon
  38. 127Multi-agent teams: orchestrator + workers (LangGraph, CrewAI, SDK handoffs)Coming soon
  39. 128Deploying an agent for real: server/webhook, scheduler, secrets, logs (VPS, Cloudflare Workers, Railway)Coming soon
  40. 129Testing, monitoring & cost control for agents (evals, traces, token budgets)Coming soon
  41. F. Safety & capstone
  42. 130Agent & AI-app security: approvals, spending limits, permissions, prompt injection, data leaks, kill switchComing soon
  43. 131Capstone part 1: design a WhatsApp guest-questions agent (knowledge, tools, hand-off)Coming soon
  44. 132Capstone part 2: build, test and deploy it end-to-end, then hand it to a friend to tryComing soon
Module 11Building Without Code (vibe coding)3 lessons
  1. 133Build an app by describing itComing soon
  2. 134Claude Artifacts & ChatGPT CanvasComing soon
  3. 135Publishing & maintaining what you built (and its limits)Coming soon
Module 12Developer Track9 lessons
  1. 136APIs 101: keys, tokens, pricingComing soon
  2. 137First API call in PythonComing soon
  3. 138Coding assistants comparedComing soon
  4. 139Claude Code / Codex in the terminal: agentic codingComing soon
  5. 140RAG: AI that answers from your documentsComing soon
  6. 141Local & open models: Ollama, LM Studio, Qwen, MistralComing soon
  7. 142Fine-tuning vs prompting vs RAGComing soon
  8. 143Evals: testing AI before you trust itComing soon
  9. 144Cost, speed & caching in productionComing soon
Module 13Safety, Ethics & Law4 lessons
  1. 145Privacy settings on every platform (step by step)Coming soon
  2. 146The law in 2026: EU AI Act, US state laws, disclosure rulesComing soon
  3. 147Deepfakes & scamsComing soon
  4. 148Responsible use: when NOT to use AIComing soon
Module 14Careers & Staying Current2 lessons
  1. 149AI skills that get you hired/paidComing soon
  2. 150Capstone: plan your own AI project end-to-endComing soon