Master AI Engineering.Step-by-Step.
TensorTrack curates the best educational resources on the internet and organizes them into a guided learning path. Track your progress, build streaks, and verify objectives.
How AI Engineer Ready Are You?
Answer 16 randomized first-principles questions across Python, Math, ML, DL, LLMs, RAG, Agents, and System Design. Dynamically sampled from our 48-question engineering bank.
Structured for Retention
Move past copy-pasting API keys. Learn the internal mathematical and systems foundations of AI.
Curated Learning Hub
Access top tutorials, documentation, papers, and exercises across the web from a single dashboard.
Gamified Streaks & XP
Track your learning consistency with daily streaks, earn XP for completions, level up, and unlock prestigious achievements.
First-Principles Curriculum
Carefully structured tracks covering Math, stats, Classical ML, deep learning foundations, and advanced LLM Agent architectures.
Curriculum Map
Explore 8 dedicated disciplines structured linearly to mirror industry expectations.
Python Concurrency
GIL, asyncio, generators, decorators
Mathematical Stats
MLE, Bayesian, Hypothesis testing, MCMC
Classical ML
Gradient descent, SVMs, trees, expectations
Deep Learning Architecture
Backprop, Adam, CNNs, LSTMs, Transformers
Large Language Models
Tokenizers, RLHF, Quantization, MoE, FlashAttention
RAG Engineering
Chunking, Vector search, Hybrid, Reranking, GraphRAG
AI Agent Systems
ReAct loop, function calling, stateful graphs
AI System Design
Scalability, serving, caching, distributed training