Two structured learning tracks, one hub. Track your progress, access resources, and ship real projects — all powered by free tools.
Master RAG pipelines, LangGraph multi-agent systems, fine-tuning with LoRA/QLoRA, MLOps, and production deployment — using 100% free tools.
14 chapters of data structures and algorithms — from dynamic arrays and hash maps to dynamic programming and bit manipulation. Covers all Blind 75 / NeetCode 150 topics.
Master FastAPI/Django, PyTorch, HuggingFace Transformers, scikit-learn, PostgreSQL/TimescaleDB, Docker, Kubernetes, GitLab CI/CD, and monitoring tools.
Curriculum v3: Python foundations → PyTorch → Transformers, RAG, fine-tuning, agents → serving, MLOps, system design. Complete comprehensive roadmap.
Complete 98-day intensive roadmap covering foundation, advanced RAG, Agentic AI, and production deployment with interview preparation modules.
New AI topic (6h) + project work (2h)
PyTorch / FastAPI / Docker tasks (3h)
Read chapter, understand patterns (2h)
AI review (4h) + LeetCode problems (2h)
Solve Blind 75 problems (3–4h)
AI + ML capstone project work
Weekly review, plan next week, rest
Visual roadmap of all DSA topics with curated problems and video solutions.
Visual handbook covering all 14 DSA chapters with animated GIFs and code examples.
Free GitHub companion to the O'Reilly book — code for every single chapter.
Run Llama 3, Mistral, Qwen and more locally. Free, no API tokens needed.
Official documentation for LCEL, agents, tools, RAG chains, and memory.
Build stateful multi-agent systems with StateGraph, nodes, and edges.
Open-source vector database — local persistence, metadata filtering, embeddings.
Free tier with 1M context window. Multimodal support — text, images, and audio.
Interactive visualizations for sorting, trees, graphs, heaps, and more.
Time & space complexity reference for all major structures and algorithms.
Beautifully illustrated series explaining fundamental computer science concepts.
Official PyTorch tutorials — tensors, autograd, and network training loops.
End-to-end NLP course — tokenizers, fine-tuning BERT, and model training.
Time-series extension for PostgreSQL — hypertables and analytics.