Machine Learning Engineer Bootcamp: From Fundamentals to Production
A project-based course that builds the practical skills needed to land a Machine Learning Engineer role, covering Python, math foundations, ML algorithms, PyTorch, feature engineering, model training and evaluation, and production-ready data pipelines. Learners build a portfolio of hands-on projects culminating in an end-to-end ML system.
23 lessons · 6 modules
Module 1
Foundations: Python and Math for ML
Module 2
Core Machine Learning Algorithms
Module 3
Deep Learning with PyTorch
Module 4
Production ML: Pipelines, Evaluation, and Capstone
Module 5
LLM Engineering: Transformers, RAG, and Fine-Tuning
Module 6