Resources
129 docs, courses, tools, books and papers. Starred ones matter most. Each also appears on the week where you need it.
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Python
SQL
AI Coding
DSA for AI
Mathematics
- Course3Blue1Brown: Essence of Calculus
- Course3Blue1Brown: Neural Networks
- ReferenceStatQuest video indexSearch by topic whenever a concept is fuzzy.
- PracticeKhan Academy: Multivariable Calculus
- PracticeKhan Academy: Statistics & Probability
- BookMathematics for Machine Learning (free book)Reference only; dip in for rigour.
Data stack
Machine Learning
- ReferenceCampusX ML code repo
- Docsscikit-learn User GuideTreat it as the spec.
- ChannelStanford CS229: Machine Learning (2018 lectures)Theory depth. Opens on YouTube; the 2022 run is embedded on the Videos page.
- CourseAndrew Ng: ML Specialization (Coursera, audit free)
- BookHands-On ML (Géron) notebooks
- DocsSHAP
NLP
Computer Vision
Time Series
Deep Learning
Transformers
Practical Deep Learning
Build a GPT
AI Engineer: master references
- CourseLLM Zoomcamp (DataTalksClub)Free and project-graded. Modules 1–4 for RAG.
- CourseDeepLearning.AI Short CoursesAbout 1 hour each.
- CourseAnthropic CoursesOfficial and free, including the prompt engineering course.
- ReferenceOpenAI Cookbook
- Referenceroadmap.sh: AI Engineer
- Referenceroadmap.sh: AI Agents
- Referenceroadmap.sh: Prompt Engineering
- Referenceroadmap.sh: AI Red Teaming
- Referenceroadmap.sh: MLOps