Choose if you want a current, from-scratch AI engineering roadmap with hands-on building rather than the seed's 2022 overview.
Learn it. Build it. Ship it for others.
- 54.5k
- Python
- MIT
AI/ML learning roadmap
A visual roadmap and resource list for becoming an AI/ML/data science expert, with charts and links to learning paths and technologies.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
Choose if you want a current, from-scratch AI engineering roadmap with hands-on building rather than the seed's 2022 overview.
Learn it. Build it. Ship it for others.
Choose if you want a beginner-friendly, actively maintained ML guide that starts from zero.
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Choose if you prefer a textbook-style, math-heavy compendium over a visual roadmap.
Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.
Choose if you want a structured Python ML course with video/text rather than a high-level roadmap.
:speech_balloon: Machine Learning Course with Python:
Choose if you want a production-focused ML course with deployment and iteration rather than a general roadmap.
Learn how to develop, deploy and iterate on production-grade ML applications.
Choose if you want a deep, interactive textbook with code and math instead of a roadmap.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Choose if you want a daily study plan for becoming an ML engineer, but it hasn't been updated in years.
A complete daily plan for studying to become a machine learning engineer.
These projects were analysed and named AI-Expert-Roadmap among their alternatives. The relationship is not symmetric — how AI-Expert-Roadmap rates them is a separate judgement, made when AI-Expert-Roadmap is analysed in its own right.
calls AI-Expert-Roadmap “Choose for a role-based roadmap with clearer specialization tracks than the seed's general plan.”
A complete daily plan for studying to become a machine learning engineer.