AWS Machine Learning Foundations

Overview

Learn what machine learning is and the steps involved in building and evaluating models. Gain in demand skills needed at businesses working to solve challenges with AI. Learn the fundamentals of advanced machine learning areas such as computer vision, reinforcement learning, and generative AI. Get hands-on with machine learning using AWS AI Devices (i.e. AWS DeepLens, AWS DeepRacer, and AWS DeepComposer). Learn how to prepare, build, train, and deploy high-quality machine learning (ML) models quickly with Amazon SageMaker and learn object-oriented programming best practices.

Syllabus

Welcome to the AWS Machine Learning Foundations Course

Welcome to Udacity! We're excited to share more about your program and start this journey with you!
In this course, you will learn more about the pre-requisites, structure of the program, and getting

Introduction to Machine Learning

In this lesson, you will learn the fundamentals of supervised and unsupervised machine learning, including the process steps of solving machine learning problems and explore several examples

Machine Learning with AWS

In this lesson you will learn about some advanced machine learning techniques: computer vision, reinforcement learning, and generative AI. You will also learn about how to use AWS ML tools.

Software Engineering Practices, Part 1

Learn software engineering practices and how they apply in data science. Part one covers clean and modular code, code efficiency, refactoring, documentation, and version control.