Free

AWS Machine Learning Foundations

Course

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.

Built in collaboration with

AWS

Last Updated May 11, 2022

Skills you'll learn:

AI fluencyReinforcement learning applications

Prerequisites:

No experience required

Last Updated May 11, 2022

Skills you'll learn:

AI fluency • Reinforcement learning applications • Model training • Deep autoregressive networks

Prerequisites:

No experience required

Course Lessons

Lesson 1

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

Lesson 2

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

Lesson 3

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.

Lesson 4

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.

Lesson 5

Software Engineering Practices, Part 2

Learn software engineering practices and how they apply in data science. Part two covers testing code, logging, and conducting code reviews.

Lesson 6

Introduction to Object-Oriented Programming

Learn the basics of object-oriented programming so that you can build your own Python package.

Lesson 7

Congratulations!

Congratulations on finishing your program!

Lesson 8

Next Steps

Take the AWS Machine Learning Foundations Assessment Quiz!

Taught By The Best

Maryam Rezapoor

Senior Technical Product Manager, AWS AI

Eva Pagneux

Senior Technical Product Manager, AWS AI

Phu Nguyen

Senior Technical Product Manager, AWS AI

Juno Lee

Instructor

As a data scientist at Looplist, Juno built neural networks to analyze and categorize product images, a recommendation system to personalize shopping experiences for each user, and tools to generate insight into user behavior.

Andrew Paster

Instructor

Andrew has an engineering degree from Yale, and has used his data science skills to build a jewelry business from the ground up. He has additionally created courses for Udacity's Self-Driving Car Engineer Nanodegree program.

The Udacity Difference

Combine technology training for employees with industry experts, mentors, and projects, for critical thinking that pushes innovation. Our proven upskilling system goes after success—relentlessly.

Demonstrate proficiency with practical projects

Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

Gain proven experience
Retain knowledge longer
Apply new skills immediately

Top-tier services to ensure learner success

Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.