The Roadmap (4 Stages)
Stage 1: Understand What AI Actually Is (Week 1-2)
- What is AI, machine learning, and deep learning (the difference)
- What are LLMs (like ChatGPT, Claude, Gemini) and how they work at a basic level
- No coding needed — just curiosity and reading/watching
Stage 2: Learn to Use AI Tools (Week 2-4)
- Master prompting — how to talk to AI tools effectively
- Try ChatGPT, Claude, Gemini for writing, research, brainstorming
- Explore image tools (Midjourney, DALL-E) and productivity tools (Notion AI)
- This stage alone makes someone “AI-literate” — huge value for beginners
Stage 3: Learn the Basics Behind AI (Month 2-3)
- Basic Python (if they want to go technical)
- Basic statistics/math intuition (not heavy math, just concepts)
- Intro to machine learning concepts (no-code or beginner-friendly courses)
Stage 4: Specialize (Month 3+)
- Pick a direction: AI for content creators, AI for business, AI for developers, or AI ethics/policy
- Build a small project (e.g., automate a task using AI, build a simple chatbot)
- Join communities (Reddit, Discord, LinkedIn groups) to keep learning
Suggested post structure
- Intro — why you’re writing this (relatable, “I was overwhelmed too”)
- The 4-stage roadmap (as above, with rough timelines)
- Free resources for each stage
- Common mistakes beginners make
- Your personal takeaways/tips