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Full-Stack AI/ML Engineering

10 Modules · 52 Lessons

Recommended resources

Module 2

Introduction to GPU Programming: CUDA and Metal

Module 3

GPU Memory Models and Data Transfer

Module 4

Parallel Algorithms and Synchronization

Module 5

Hardware-Agnostic Tensor Library

Module 6

Core Operator Kernels: Activations and Normalization

Module 7

Advanced Operator Kernels: GEMM and Convolution

Module 8

Building the Inference Engine Core

Module 9

Python Integration with PyBind11

Module 10

Capstone: Profiling, Optimization, and Deployment