FutureProof4IR
Free · 4 weeks · self-paced

4IR Foundations

Four lessons to harden your current direction — whether that's a job you want to keep, a business idea you want to start, or a life path you're redesigning. Lessons 1 and 2 are open with no signup. Lessons 3 and 4 are free with a free account.

Start with the AI-Safe Path AssessmentOpen Lesson 1
The curriculum

Four weeks. Four outputs you can use Monday.

  1. 01
    Open · no signup

    Reality Check 4IR

    What the 4th Industrial Revolution actually is, which tasks AI augments vs replaces, and your personal exposure scorecard — using the MIT Work of the Future framing.

    • Your role's automation exposure score
    • A list of AI-augmentable tasks you own
    • One narrative sentence for a manager, client, or partner
    Open lesson
  2. 02
    Open · no signup

    AI Fluency

    Daily use of ChatGPT, Claude, and Gemini. Prompt patterns that actually work. A safe-use checklist for confidential data.

    • A 5-prompt daily-driver pack
    • A prompt-pattern cheat sheet
    • Your team-safe AI usage policy
    Open lesson
  3. 03
    Free account

    Skill Audit & Complementarity Map

    Your skills × AI leverage. The do-more / delegate / drop matrix that decides where you double down and where you stop fighting the machines.

    • Your skills × AI 2×2
    • Top 3 skills to deepen
    • Top 3 tasks to delegate to AI
    Free signup
  4. 04
    Free account

    Path Stability Plan

    A 90-day plan to harden your current direction: visible AI wins, an internal pitch deck, and the portfolio proof that travels with you.

    • A 90-day milestone plan
    • An internal pitch, client outreach, or partner ask you can send Monday
    • One published portfolio artifact
    Free signup
AI Skill Tracks

Pick a track. Build real AI skills, week by week.

Four structured tracks layered on top of Foundations. Each runs 4 weeks with concrete weekly outcomes, tools to learn, and a shippable artifact. Mix and match — most members do Fluency first, then one builder track.

T1

AI Fluency & Prompt Engineering

Use ChatGPT, Claude, and Gemini like a senior operator. Prompt patterns, evals, safe-use for confidential data.

ChatGPTClaudeGeminiPrompt librariesLMSYS Arena
  1. Week 1 — Model fluency: pick the right LLM per task; write 5 reusable prompt templates.
  2. Week 2 — Prompt patterns: role, few-shot, chain-of-thought, structured output (JSON).
  3. Week 3 — Evals & safe-use: build a 10-case eval set; redact PII; confidential-data checklist.
  4. Week 4 — Ship: a personal AI playbook (20+ prompts) used daily in your real work.
T2

No-Code / Low-Code AI Builders

Ship working AI products without writing backend code. Automations, agents, and full apps.

n8nMakeZapier AILovablev0Replit AgentBubble
  1. Week 1 — Automate one painful workflow end-to-end in n8n or Make.
  2. Week 2 — Build an AI agent that reads a doc, calls an API, and writes a result.
  3. Week 3 — Generate a full app UI with Lovable or v0; wire one real data source.
  4. Week 4 — Ship: a working AI tool you (or a paying user) actually use.
T3

Code & Data ML Foundations

The math-light path into real machine learning. Python notebooks, datasets, fine-tuning basics.

PythonGoogle ColabPandasscikit-learnHugging FaceKaggleFast.ai
  1. Week 1 — Python + Pandas in Colab: load a dataset, clean it, plot it.
  2. Week 2 — Train your first classifier with scikit-learn; read a confusion matrix.
  3. Week 3 — Run a Hugging Face model; fine-tune on a small custom dataset.
  4. Week 4 — Ship: a Kaggle submission or a Hugging Face Space demo of your model.
T4

AI App & Integration Engineering

Build production-grade AI features: APIs, RAG, agents, vector search, observability.

OpenAI APIGemini APILangChainLlamaIndexCrewAIPineconepgvector
  1. Week 1 — Call the OpenAI/Gemini API directly; stream responses; handle errors and cost.
  2. Week 2 — Build a RAG pipeline: embed docs, store in pgvector, retrieve, answer.
  3. Week 3 — Multi-step agent with LangGraph or CrewAI; add tools and guardrails.
  4. Week 4 — Ship: a deployed AI feature with logging, evals, and a cost dashboard.
What's next

Ready to build something that pays?

FutureProof Build — 6 weeks, one shipped offer.

Take the audit further. Design an offer, set pricing, launch, and get your first paying customer.

See the build path