THE FUTURE MARKETACADEMY
Campus buildingRoom 01 · AI Lab
Learning path

AI

7 steps, 40 courses. Take the steps in order: each one builds on the one before.

All learning paths

  1. Step 1

    Start here: what AI is and how to stay safe

    Learn what AI chat tools can and cannot do, and what never to paste into them.

    1. 1.1 AI for Beginners: ChatGPT & Claude for work and life Beginner
    2. 1.8 AI Safety, Privacy & Ethics for everyday users Beginner
  2. Step 2

    Talk to AI well: prompts and Claude

    Clear prompts and a good feel for one assistant make every other AI course easier.

    1. 1.2 Prompt Writing That Works Beginner
    2. 1.11 Claude Step by Step: chats, files, Projects and artifacts Beginner
  3. Step 3

    Use AI for school, business and content

    Pick the use that fits your life: studying, a small business, content or images and video.

    1. 1.10 AI for Students: study smarter without cheating Beginner
    2. 1.3 AI for Small Business (emails, quotes, marketing, admin) Beginner
    3. 1.6 AI for Content Creators (scripts, captions, editing) Beginner
    4. 1.7 AI Image & Video Tools: what they can and can't do Beginner
  4. Step 4

    Build with AI: a first agent and a first app

    Try building: a simple AI agent and a small app made with AI help.

    1. 1.4.1 Agents First Steps: what an AI agent is and a simple first one Beginner
    2. 1.5.1 Coding with AI: your first project from idea to working app Beginner
  5. Step 5

    Intermediate: AI at work, automation and power tools

    Go deeper in each track: real work tasks, automations, agents, coding and Claude's power tools.

    1. 1.1.2 AI at Work: research, writing and analysis with AI Intermediate
    2. 1.8.2 AI Risk at Work: privacy, bias and misuse in practice Intermediate
    3. 1.2.2 Prompting for Complex Tasks: chains, roles and structured outputs Intermediate
    4. 1.12 Claude Power Tools: Skills, Connectors (MCP), Claude Code and agents Intermediate
    5. 1.10.2 AI Research & Writing: work with sources and stay honest Intermediate
    6. 1.9 Automate Your Work with AI (Zapier/Make-style workflows) Intermediate
    7. 1.6.2 AI Content Workflow: a weekly system for creators Intermediate
    8. 1.7.2 AI Visual Projects: plan, prompt and finish a visual piece Intermediate
    9. 1.4 Build AI Agents with Claude: no-code to code Intermediate
    10. 1.5 Claude for Coding: Claude Code basics Intermediate
  6. Step 6

    Advanced: workflows, testing and bigger projects

    Turn single tasks into tested, repeatable systems and larger projects.

    1. 1.1.3 AI Workflows: repeatable systems for yourself or a team Advanced
    2. 1.8.3 AI Governance Basics: policies, audits and compliance Advanced
    3. 1.2.3 Prompt Testing: evaluate and improve your prompts Advanced
    4. 1.11.3 Claude for Teams: shared Projects, workflows and standards Advanced
    5. 1.10.3 AI Study Systems: long-term learning projects Advanced
    6. 1.3.3 AI Operations: build AI into daily business processes Advanced
    7. 1.6.3 AI Creator Studio: scale output without losing quality Advanced
    8. 1.7.3 AI Production Pipeline: consistent characters, style and delivery Advanced
    9. 1.4.3 Multi-Step Agents: tools, memory and reliability Advanced
    10. 1.5.3 Claude Code Projects: larger codebases, tests and git Advanced
  7. Step 7

    Expert: lead AI in a team and teach others

    Roll out AI safely in a team, govern it and teach other people to use it well.

    1. 1.1.4 AI Lead: roll out AI in a team or organisation Expert
    2. 1.8.4 AI Governance Lead: oversight, incidents and accountability Expert
    3. 1.2.4 Prompt Systems: production-grade prompt libraries Expert
    4. 1.11.4 Claude Practitioner: design, teach and audit Claude workflows Expert
    5. 1.10.4 AI Peer Tutor: teach others to use AI well Expert
    6. 1.3.4 AI Strategy for Owners: policy, cost and measurement Expert
    7. 1.6.4 AI Content Director: run a creator team with AI Expert
    8. 1.7.4 AI Media Producer: commercial-grade AI media with ethics Expert
    9. 1.4.4 Agent Systems: design, test and govern agents at scale Expert
    10. 1.5.4 AI Engineering Practice: ship and maintain AI-built software Expert