AWS Machine Learning Foundations
Who is this course for
Hands-On with AWS ML Tools – Gain practical experience using AWS DeepLens, DeepRacer, DeepComposer, and SageMaker.
Comprehensive ML Foundation – Learn supervised, unsupervised, and advanced ML techniques in one course.
Software Engineering Integration – Build clean, modular code and learn object-oriented programming to support ML projects.
Course Overview
AWS Machine Learning Foundations is a beginner-friendly course that introduces the fundamentals of machine learning and its applications across business and AI challenges. You’ll learn how to prepare, build, train, and deploy ML models using AWS AI devices and Amazon SageMaker, while gaining essential software engineering and object-oriented programming skills to support high-quality ML development.
What You'll Learn
Knowledge of fundamental machine learning concepts and workflows.
Practical experience building, training, and deploying ML models on AWS.
Exposure to advanced ML areas like computer vision, reinforcement learning, and generative AI.
Strong software engineering practices for ML development.
