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The platform for mastering AI and the skills around it
Ten structured learning paths, each with interactive demos, walkthroughs, and timed assessments.
Python, NumPy, math, probability — the prerequisites for every AI path.
Regression to reinforcement learning across 13 chapters.
Text processing, embeddings, transformers, and question answering.
Transformers, fine-tuning, RLHF, RAG, and frontier architectures.
Image processing to neural rendering across 14 chapters.
Blind 75, company sets, graphs, DP, and interview patterns.
NeRF, Gaussian Splatting, multi-view reconstruction.
CLIP to GPT-4o, LLaVA, LoRA, and frontier VLMs.
DDPM, DDIM, latent diffusion, Stable Diffusion, and DiT.
Docker, Kubernetes, CI/CD, model serving, monitoring.
GPU architecture, the memory hierarchy, writing fused Triton kernels, and tiled matmul.
Write real CUDA kernels in Python — threads, shared memory, reductions, atomics, and tiled matmul.
Every problem is built around real CV, NLP and ML concepts. Implement convolution kernels, build decision trees, code attention mechanisms, and write loss functions from research papers.
Animated visualizations for every concept — not just equations.
Every problem teaches a real CV or ML skill. No generic DSA filler.
Step-by-step code guides that build real systems from scratch.
22 timed tests to measure readiness across all study plans.
Real-world analogies and code examples for every topic.
Personalized hints without spoiling the answer. PRO feature.
Interactive visualizations that show you exactly how landmark architectures work:
More papers added regularly based on community interest
Introductory chapters in every study plan are completely free. No credit card required.
Premium unlocks the full curriculum: advanced chapters, all problems, timed assessments, and paper breakdowns.