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.
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
No experience required
Lesson 1
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
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
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
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
Learn software engineering practices and how they apply in data science. Part two covers testing code, logging, and conducting code reviews.
Lesson 6
Learn the basics of object-oriented programming so that you can build your own Python package.
Lesson 7
Congratulations on finishing your program!
Lesson 8
Take the AWS Machine Learning Foundations Assessment Quiz!
Senior Technical Product Manager, AWS AI
Senior Technical Product Manager, AWS AI
Senior Technical Product Manager, AWS AI
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.
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.
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AWS Machine Learning Foundations
