Additional Resources to Learn

A curated list of high-quality resources to supplement the HumbleBeeAI Academy curriculum.

Deep Learning & Machine Learning

Hugging Face Learn : Excellent practical tutorials on Transformers, Diffusion models, and Deep RL.
Fast.ai : Top-down approach to Deep Learning.
- Fastbook Chapter 1 : Intro to Deep Learning.
Andrej Karpathy's YouTube Channel : "Neural Networks: Zero to Hero" series. The gold standard for understanding LLMs and Backprop from scratch.
Papers with Code : Browse the state-of-the-art in ML papers linked to their official code implementations.

Real Python : High-quality articles and tutorials on Python best practices.
Full Stack Python : Guide to every part of the Python web application stack.
The Missing Semester of Your CS Education : MIT course on command line, editors, git, and other essential tools often not taught in class.
System Design Primer : Comprehensive guide for key systems design interviews and concepts.

3Blue1Brown (Essence of Linear Algebra / Calculus) : Visual intuition for core math concepts.
StatQuest with Josh Starmer : Statistics and ML algorithms explained simply and clearly.
Immersive Linear Algebra : Interactive linear algebra textbook.

Computer Vision: PyTorch Image Models (timm) - Library of SOTA image classification models.
NLP: LangChain Documentation - Learn to build applications with LLMs.
Data Science: Kaggle Learn - Interactive micro-courses on Pandas, SQL, and ML.

Roadmap.sh (DevOps) : The definitive visual guide to DevOps skills.
A Cloud Guru: Excellent for AWS/GCP certifications.
Docker Curriculum : A comprehensive tutorial on getting started with Docker.

Designing Data-Intensive Applications (Book) : The "Bible" of distributed systems. Must read for Seniors.
ByteByteGo : Visual explanations of complex systems (YouTube channel is free).
Grokking the System Design Interview : Standard prep for FAANG interviews.

Teach Yourself Computer Science : If you don't have a CS degree, this is your curriculum.
NAND to Tetris : Build a modern computer from first principles (logic gates -> OS).