Welcome!

Kick off the AWS Public Sector Summit Online by watching our opening keynote, exploring 30+ breakout sessions, local introductions, learning zones, and more.

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MACHINE LEARNING SKILLS GAP GUIDE

Learn how developers and data scientists worldwide have used the machine learning skills gap to their advantage.

1 Global Knowledge, 2019 IT Skills and Salary Report

Keynote

The AWS Public Sector Summit Online keynote address will be delivered by Max Peterson, vice president of international sales of worldwide public sector at AWS, and feature global customer stories.

In his role, Peterson supports public sector organizations as they leverage the cloud to drive innovation among government, educational institutions, and nonprofits around the world.

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 the best 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 machine learning training for developers

Become a machine learning developer

Our tailored learning path for builders and software developers provides a recommended sequence of courses to help you gain relevant knowledge ASAP.

Follow the developer path

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

Map your data science journey

Explore the world of data science

Build on your math, analytics, and statistics knowledge with a tailored learning program designed to accelerate your machine learning future.

Follow the data scientist path

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

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.”

FAQs

What is the AWS Public Sector Summit Online?

The AWS Public Sector Summit Online is an online conference that you can experience from the comfort of your own home.


What is the price of attending the AWS Public Sector Summit Online?

The AWS Public Sector Summit Online is a complementary virtual event.
 

How do I access the event?

Upon completing the online registration process you will receive a confirmation email with details for how to join the event. The live keynote and sessions will be accessible on October 20 at 10.00 AM AST / 12.00 PM IST / 3.00 PM SGT / 6.00 PM AEDT.
 
 
How can I contact the online summit organizers?

If you have any further questions, please contact us at [email protected].