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AI Research Engineer from Scratch

12 Modules · 95 Lessons

Recommended resources

Module 2

Linear Algebra Essentials

Module 3

Calculus and Optimization for Machine Learning

Module 4

Probability and Statistics for Machine Learning

Module 5

Classical Machine Learning

Module 6

Neural Network Fundamentals from Scratch

Module 7

PyTorch and Deep Learning Practice

Module 8

CNNs, RNNs, and Sequence Models

Module 9

Transformers and Modern NLP

Module 10

LLMs, RAG, and AI Applications

Module 11

Research Engineering and Fine-Tuning

Module 12

Inference Optimization and Production Deployment