AI learning paths — from zero to expert
Ordered lessons that build on each other. Whether you're brand new or specializing in a technique, there's a path that matches where you are.
Structured learning paths that build on each other — perfect when you don't know what you don't know yet. Each path is a sequence of lessons where each builds on the last. Complete a path, and you have a working mental model plus the vocabulary to keep learning independently.
Paths come in four flavors: foundation paths (Beginner, Developer, Executive), specialist paths (Master RAG, Master Agents, Master Prompt Engineering), tool-specific paths (Master Claude, Master Cursor), and role-specific paths that combine multiple topics for a specific job function.
Where to start — pick your entry point
The best starting path depends on what you already know and what you need to do with AI.
AI from Zero
Zero prerequisites. 20 lessons taking you from "what is a neural network" to "I can read an AI paper." Non-technical audiences welcome.
IntermediateAI for Developers
30 lessons on integrating LLMs into real applications. APIs, prompt engineering, RAG, agents, evals, and production deployment.
BusinessAI for Executives
25 lessons on AI strategy without the math. Vendor evaluation, budgets, team structure, risks, and where AI actually helps your business.
AdvancedAI Systems Design
40 lessons on architecting production AI systems. Retrieval, evaluation, monitoring, cost optimization, and reliability engineering.
Master a specific technique
Go deep on one topic — from vocabulary to production implementation.
Master RAG in 10 Lessons
Chunking, embeddings, retrieval, reranking, evaluation, production patterns.
Master Agentic AI in 15 Lessons
Tool use, MCP, planning, multi-agent, computer use, production agent design.
Master Prompt Engineering in 8 Lessons
Chain-of-thought, few-shot, DSPy, prompt injection, evaluation.
Master Fine-Tuning in 12 Lessons
SFT, LoRA, QLoRA, DPO, GRPO — with data prep and eval.
Master AI Evaluation
Building evals, LLM-as-judge, human eval, regression testing.
Master Multimodal AI
Vision-language models, diffusion, video generation, audio.
Get the most out of a specific tool
Master Claude
Projects, Artifacts, Skills, computer use, extended thinking — full workflow guide.
Master ChatGPT
Custom GPTs, Advanced Data Analysis, voice mode, and pro-tier features.
Master Cursor
Composer, Agent mode, rules files, and AI-first coding workflow.
Master Claude Code
Agentic terminal workflow, custom commands, MCP integration.
Master Perplexity
Deep research, Pro tier, spaces, and citation-first workflows.
Master Midjourney
Parameters, style references, workflow patterns, and prompt design.
What makes a learning path different from just reading?
Each lesson builds on the last
- Prerequisites are explicit
- Concepts introduced only when needed
- No jumping ahead without missing foundations
Learn by doing, not just reading
- Every lesson has a small exercise
- Code examples you can copy and run
- Prompts you can try immediately
Know what you've learned
- Progress tracked in your browser
- Completion certificate at path end
- Recommended next paths after completion
Questions about Learn
Yes. Every learning path on AI Terms Guide is free to complete. Premium downloadable summaries, comprehensive PDF guides, and enterprise licensing are available separately.
Depends on the path. "AI from Zero" and "AI for Executives" have zero prerequisites. Developer and specialist paths assume basic programming (Python preferred). Every path lists prerequisites upfront.
Progress is stored in your browser using localStorage — no account required. Clearing your browser data resets progress. Enterprise learners can request account-based tracking.
Not yet — coming in 2026. Paid certifications (Certified AI Literate, Certified AI Developer Foundation, etc.) with proctored exams are on the roadmap.
Yes. Enterprise licensing lets companies embed paths in their internal learning platforms with attribution. Contact us for pricing.