Leverage the skills gap to boost your career

The lack of machine learning talent is a growing barrier to its widespread adoption.1 Learn how to leverage this skills gap and improve your machine learning capabilities to advance your career.


Explore how to empower your team with machine learning skills that will drive innovation for your business

1 Global Knowledge, 2019 IT Skills and Salary Report

Propel your career with machine learning skills from AWS

AWS Training and Certification is how machine learning experts are made

Organizations are struggling to find data scientists and developers with machine learning experience. Learn how getting trained in machine learning can help elevate your professional value by adding to your credentials.

AWS is how you build machine learning skills

Courses built on the curriculum leveraged by Amazon’s own teams

  • Learn your way

    Get machine learning training anytime, anywhere in just a few hours or days, with flexible learning options to meet your needs.

  • Get trained by the experts

    More machine learning happens on AWS than anywhere else.2 Choose courses with our helpful ramp-up guide, featuring machine learning fundamentals and helpful resources.

  • Earn industry-recognized credibility

    Take the next step and earn the AWS Certified Machine Learning — Specialty Certification to demonstrate your skills and experience with an industry-recognized credential.

2 Deep Learning on AWS Guidebook, Nucleus Research, October 2019

8 reasons to build machine learning skills with AWS

Discover 8 reasons why AWS is a great place to learn the skills it takes to become a machine learning engineer, data scientist, or developer.

Nearly 80% of IT decision makers acknowledge a machine learning skills gap. Explore 8 reasons to build your own ML skills with AWS.

Relevant training for developers and data scientists

Follow the data scientist path

Use our helpful guide to track your progress and skills growth with the Machine Learning Path: Data Scientist.

Follow the developer path

Achieve key milestones and plan next steps as you move closer to your goal on the Machine Learning Path: Developer.

AWS Power Hour: Machine Learning Twitch show

AWS Power Hour: Introduction

This show helps developers get started building apps with machine learning and artificial intelligence. Join hosts Jon and Kirsten on Twitch hands-on learning!

Episodes and resources

Did you miss an episode? Don't worry! All episodes are available on-demand and you can also find great resources for your machine learning journey.

Connect with an AWS Machine Learning Hero

Get expert help applying machine learning—for all experience levels.

  • Kesha Williams,

    Software Engineer and Training

    Architect and AWS ML Hero

    “AWS Training and Certification helped me to connect the dots and take my machine learning skills to the next level and, as a result, I was able to immediately apply my learnings.”

  • Alex Schultz,

    Senior Software Engineer

    and AWS ML Hero

    “My wife has like a million photos from our family…I'm trying to build an image organizer tagger program, which uses deep learning and computer vision.”

  • Joshua Arvin Lat,

    CTO and AWS ML Hero

    “(Machine learning) allows me to do things that I wasn’t capable of solving before, (such as) security and penetration testing…software engineering, (and) web development.”