Free Interactive Roadmap
Master
AI Engineering.
From foundations to production deployment. Interactive roadmap with 129 topics, hands-on exercises, and curated resources. Completely free.
129Topics
9Sections
2026Updated
FOUNDATIONS • LLMs • PROMPT ENGINEERING • RAG • AGENTS • DEPLOYMENT •
FOUNDATIONS • LLMs • PROMPT ENGINEERING • RAG • AGENTS • DEPLOYMENT •
Learning Path
Your path from
zero to AI engineer.
🧱 Foundations
AI engineering, Python, APIs, cloud, and core concepts.
6 topics
🤖 LLMs & Models
Transformers, frontier models, open-source, tokenization, and fine-tuning.
20 topics
💬 Prompt Engineering
Prompt patterns, structured outputs, evaluation, and optimization.
8 topics
🔍 RAG & Retrieval
Vector databases, retrieval pipelines, chunking, and hybrid search.
12 topics
🤖 AI Agents
Tool use, MCP, multi-agent systems, memory, and autonomy.
20 topics
🚀 Production Deploy
Cost, monitoring, safety, scaling, and real-world deployment.
14 topics
All sections
AI Engineer Roadmap
129 topics · Visual flowchart · Interactive learning path
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