Roadmaps
Use the maps to decide where to go next.
These roadmaps compress the field into high-signal visual guides so you can orient yourself quickly before dropping into notebooks, references, and project work.
Coverage
4 roadmap sets
From big-picture orientation through system architecture and end-to-end production flows.
Best use
Direction before depth
Use roadmaps to decide what to study next before diving into notebooks, quizzes, or references.
Supports
Curriculum navigation
Connect high-level system views back to the main learning path, cheatsheets, and implementation phases.
Big picture
Overview maps
Start with the broad AI landscape, machine learning paradigms, deep learning families, and LLM pipelines.
Open overview roadmaps →Systems thinking
Core systems maps
See how vector databases, RAG, MLOps, and deployment patterns fit together at the platform level.
Explore system maps →Execution flow
End-to-end flows
Follow complete paths from data and modeling to evaluation, shipping, and production operation.
See end-to-end flows →Navigate by intent
Choose the map that matches your current question
Orientation and mental models
Use these maps when you need the overall shape of the field before choosing a specific phase or tool track.
Advanced capability maps
Jump here when you want a structured view of fine-tuning, multimodal systems, agents, and evaluation.
Project and production sequencing
Use these routes when you want to understand how complete AI systems move from ideas to deployed workflows.