Free Course

AWS Machine Learning Foundations Course

Advance your career by earning a scholarship for the AWS Machine Learning Engineer Nanodegree program

About this Course

Study machine learning techniques and algorithms, programming best practices, python coding, and Amazon AI Services and Amazon AI Devices, including Amazon SageMaker and Amazon DeepComposer. The foundations course is intended to help developers of all skill levels get started with machine learning.

Please note: all students must complete the form on this page before enrolling in the course. Students who have not submitted the form will be actively removed from the classroom and will not be eligible to receive a certificate.

Course Cost
Free
Timeline
Approx. 2 months
Skill Level
beginner
Included in Product

Rich Learning ContentRich Learning Content

Interactive QuizzesInteractive Quizzes

Taught by Industry ProsTaught by Industry Pros

Self-Paced LearningSelf-Paced Learning

Join the Path to Greatness

In this program you will master Supervised, Unsupervised, and Deep Learning fundamentals. You will also complete a capstone project in your chosen domain.

Free Course

AWS Machine Learning Foundations Course

In this program you will master Supervised, Unsupervised, and Deep Learning fundamentals. You will also complete a capstone project in your chosen domain.

Icon steps
Nanodegree Program

Machine Learning Engineer

byAWS

In this program you will master Supervised, Unsupervised, and Deep Learning fundamentals. You will also complete a capstone project in your chosen domain.

 
 

Course Leads

Jyothi Nookula

Jyothi Nookula

Principal Product Manager at AWS

Rahul Suresh

Rahul Suresh

Engineering Manager at AWS AI

What You Will Learn

lesson 1

Software Engineering Practices - Part I

  • Learn software engineering practices and how they apply in data science
  • Clean and modular code
  • code efficiency
  • refactoring
  • documentation
  • and version control
lesson 2

Software Engineering Practices - Part 2

  • Learn software engineering practices and how they apply in data science
  • Testing code
  • conducting and logging code reviews
lesson 3

Introduction to Object-Oriented Programming

  • Learn the basics of object-oriented programming
  • Build your own Python package
lesson 4

Machine Learning with AWS DeepComposer

  • Introduction to Machine Learning
  • Learn about Generative AI and AWS DeepComposer
  • Build a custom Generative Adversarial Network (GAN)
lesson 5

Intro to Machine Learning (Optional)

  • Foundations of machine learning
lesson 6

Deep Learning with Pytorch (Optional)

  • Deep learning foundations

Prerequisites and Requirements

All learners are welcome to take the foundations course, but completion of a beginning level programming course is recommended to fully engage in all of the coursework.

See the Technology Requirements for using Udacity.

Why Take This Course

Machine learning is expected to transform virtually every industry and customer experience we know today. However, there is a shortage of trained and experienced ML developers. Of 23 million developers worldwide, only 1.3% (300,000) have AI/ML expertise, and by 2022 it is predicted there will be 58 million AI/ML jobs, further deepening this talent shortage.

Upon completion of the course, learners will have a strong foundation in object-oriented programming and an introduction to key AWS machine learning technologies, which is a great start on the path towards becoming a Machine Learning Engineer.

What do I get?
  • Instructor videos
  • Learn by doing exercises
  • Taught by industry professionals