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Learn AI from scratch

Learning Tracks

  • Structured courses from Python basics to frontier research
  • Interactive demos, analogies, and implementation walkthroughs
  • 22 timed assessments to measure readiness

Interview Problems & Projects

  • 1000+ real problems asked at top AI companies
  • Python coding challenges with automated test verification
  • Hands-on projects to build end-to-end ML & CV systems
  • System design quizzes and AI Coach for personalized hints
edge_detection.py
import numpy as np

def detect_edges(image):
    gray = np.mean(image, axis=2)
    dx = np.diff(gray, axis=1)
    return np.abs(dx) > 0.5

Research

  • In-depth breakdowns of landmark papers — ResNet, ViT, SAM, DINO
  • Highlight passages and take margin notes
  • AI Coach explains sections in context

Attention Is All You Need

We propose a new architecture, the Transformer, based entirely on attention mechanisms, dispensing with recurrence entirely. The model achieves state-of-the-art results on translation tasks.

A new architecture replacing recurrent networks — processes the full sequence in parallel, dramatically faster to train.

Ecosystem

  • Curated GitHub repos and 90+ ML case studies
  • 160+ university and industry research labs
  • Daily blogs from OpenAI, DeepMind, Hugging Face and more

Top GitHub Repos

ultralytics/yolov5 ★48kCompVis/stable-diffusion ★66kfacebookresearch/sam ★44kopenai/whisper ★58khuggingface/transformers ★120kultralytics/yolov5 ★48kCompVis/stable-diffusion ★66kfacebookresearch/sam ★44kopenai/whisper ★58khuggingface/transformers ★120kultralytics/yolov5 ★48kCompVis/stable-diffusion ★66kfacebookresearch/sam ★44kopenai/whisper ★58khuggingface/transformers ★120kultralytics/yolov5 ★48kCompVis/stable-diffusion ★66kfacebookresearch/sam ★44kopenai/whisper ★58khuggingface/transformers ★120k
90+ Case Studies160+ LabsBlogs
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Structured Courses

From prerequisites to frontier research. Each course includes:

AnalogiesExamplesImplementation WalkthroughsInteractive DemosTimed TestsAI CoachPRO

Foundations

FREE

Python, NumPy, Math & Probability

6 chapters|2 tests
Setup & PythonCh 0-1
NumPy & MathCh 2-3
Prob & Linear AlgebraCh 4-5
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Machine Learning

PRO

Regression to Reinforcement Learning

13 chapters|5 tests
FoundationsCh 1-5
Core MLCh 6-9
AdvancedCh 10-13
Start Course →

NLP

PRO

Text Processing to Question Answering

13 chapters|5 tests
FundamentalsCh 1-4
Core NLPCh 5-8
AdvancedCh 9-13
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Large Language Models

PRO

Transformers, Fine-tuning & RAG

13 chapters|5 tests
FoundationsCh 1-4
Core LLMCh 5-9
AdvancedCh 10-13
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Computer Vision

PRO

Image Processing to Neural Rendering

14 chapters|5 tests
FoundationsCh 1-5
Core CVCh 6-10
Advanced 3DCh 11-14
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DSA

FREE

Blind 75, Company Sets & More

13 chapters|5 tests
FundamentalsCh 1-4
Graphs & SearchCh 5-9
DP & AdvancedCh 10-13
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3D Computer Vision

PRO

NeRF, Gaussian Splatting & 3D Understanding

13 chapters
GeometryCh 1-4
ReconstructionCh 5-7
Neural 3DCh 8-13
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Vision Language Models

PRO

CLIP, LLaVA, LoRA & Frontier VLMs

10 chapters
FoundationsCh 1-2
TrainingCh 3-8
ApplicationsCh 9-10
Start Course →

Agent Engineering

PRO

ReAct, Memory, Multi-Agent & Tools

12 chapters
Loop & PlanningCh 1-4
Memory & FrameworksCh 5-8
ProductionCh 9-12
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Diffusion Models

PRO

Denoising, Sampling & Generation

8 chapters
TheoryCh 1-4
CoreCh 5-6
AdvancedCh 7-8
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GPU Basics with Triton

PRO

GPU Architecture, Kernels & Performance

8 chapters
GPU FundamentalsCh 1-2
Writing KernelsCh 3-5
High PerformanceCh 6-8
Start Course →

CUDA with Numba

PRO

GPU Programming in Python

3 chapters
The CUDA ModelCh 1
GPU MemoryCh 2
Parallel PatternsCh 3
Start Course →

Advanced Concepts

PRO

Landmark Papers & Deep Dives

10 papers
SAM, DINO, DiffusionPro
YOLO, Attention, ResNet, ViTFree
SigLIP2, U-Net, DETRMixed
Start Course →

Concept Cards

PRO

Bite-sized concepts — flip to a quiz

10 decks
10 decks235 cards
First 3 per deckFree
Animation + quizEach card
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The Question Bank

Your future interviewer is lurking here to pick your next question.

1000+ problems across 30 collections and 115 topics. LeetCode-style coding challenges, system design quizzes, AI Coach, and timed assessments.

1000+

Problems

30

Collections

40

System Design

22

Timed Tests

Coding Problems

Python with automated verification
Easy, Medium, and Hard
Hints, solutions, Learn tab
CV, ML, NumPy, PyTorch

System Design

40 multi-correct MCQs
CV and ML Design tracks
Real-world scenarios

AI Coach

PRO
AI tutor that knows the solution
Personalized hints, not answers
5 prompts per problem per day
30 prompts per hour globally

Projects

PRO
Train deep-learning models end-to-end
Guided, GPU-powered notebook
Run-and-reveal cells with starter code
Explore Projects →
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