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AWS Machine Learning Engineer Scholarship Program

Advance your career and skillset by earning a scholarship for the AWS Machine Learning Engineer Nanodegree Program
Apply machine learning techniques and algorithms,
including deployment to the AWS production environment.

Become a Machine Learning Engineer

tools
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.
tools
Learn the fundamentals of advanced machine learning areas such as reinforcement learning and generative AI. Get hands-on with machine learning using AWS AI Devices (i.e. AWS DeepRacer and AWS DeepComposer)
tools
Learn how to prepare, build, train,
and deploy high-quality machine
learning (ML) models quickly with
Amazon SageMaker.

How It Works

AWS and Udacity are collaborating to educate developers of all skill levels on machine learning concepts. We invite learners globally 18 years of age or older who are interested in expanding their machine learning skills and expertise to enroll in the AWS Machine Learning Engineer Scholarship Program. The goal for this program is to up-level machine learning skills to all, and to cultivate the next generation of ML leaders across the world, with a focus on underrepresented groups. Through its We Power Tech Program, AWS collaborates with professional organizations that are leading initiatives to increase the diversity and talent in technical roles, including organizations like Girls In Tech and the National Society of Black Engineers.

The scholarship is open to all for registration starting June 21, 2022. Scholarship participants will spend about 2 months in the AWS Machine Learning Foundations Course. The course covers the fundamentals of machine learning, steps in machine learning process, reinforcement learning, generative AI, software engineering best practices for data science, and how to build your own python package. Udacity will be including badge incentives for lesson completion within the program for learners to share their accomplishments with their connections on social media. The foundations course is intended to help developers of all skill levels get started with machine learning.

At the end of the AWS Machine Learning Foundations Course, learners will take an assessment from which top performers will be selected for one of 325 follow-up scholarships to one of Udacity’s most popular and recently refreshed Nanodegree programs: The AWS Machine Learning Engineer Nanodegree program.
The AWS Machine Learning Engineer Nanodegree Program gave me a solid footing in understanding the foundational building blocks of Machine Learning workflows. This shaped my knowledge of the fundamental concepts in building state-of-the-art Machine Learning models. Udacity curated learning materials that were easy to grasp and applicable to every field of endeavour, my learning experience was challenging and fun-filled.
Jikmyan Mangut Sunday
2021 AWS ML Engineer Nanodegree Graduate and 2022 Program Tutor

Free Course Info

START HERE

The AWS Machine Learning Foundations Course (FREE)

  • Register for the AWS Machine Learning Foundations course (100% of applicants will be auto-enrolled for the Phase 1/AWS Machine Learning Foundations course - see timeline below.)

  • Learn the fundamentals of machine learning

  • Learn object-oriented programming best practices

  • Learn reinforcement learning with AWS DeepRacer and generative AI with AWS DeepComposer.

  • Commit to dedicating 3-5 hours a week on the course and work towards earning one of the follow-up Nanodegree program scholarships.

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325 SEATS

Top 325 performers in the foundation course will earn scholarships to

Timing

  • Icon calendar blue
    June 21, 2022

    AWS Machine Learning Engineer Scholarship Program applications open

  • Icon calendar blue
    September 15, 2022

    AWS Machine Learning Engineer Scholarship Program applications close

  • Icon calendar blue
    June 21, 2022

    AWS ML Foundations Course (Phase 1) begins

  • Icon calendar blue
    November 23, 2022

    AWS ML Foundations Course (Phase 1) ends

  • Icon calendar blue
    December 6, 2022

    AWS Machine Learning Engineer Scholarship Program Scholarship winners announced

  • Icon calendar blue
    December 8, 2022

    AWS Machine Learning Engineer Nanodegree Program (Phase 2) opens

  • Icon calendar blue
    March 22, 2023

    AWS Machine Learning Engineer Nanodegree Program (Phase 2) ends

Students can register at any point during the registration window. Access to the foundations course will be available on June 21, 2022.
The AWS Machine Learning Engineer Nanodegree Program introduced me to a wide variety of machine learning tools which made the learning experience much easier. Before taking the program the many tools provided by AWS seemed frustrating but now I have a good grasp of them. I learned how to organize my code and work in a professional setting. The organized modules, follow up quizzes, and personalized feedback all made the learning experience more smooth and concrete.
Kareim Gazer
2021 AWS ML Engineer Nanodegree Graduate and 2022 Program Tutor

Frequently Asked Questions

See below for frequently asked questions about this Scholarship Program.
  • How does this scholarship program work?
  • Who is eligible to register?
  • When will registration open and close?
  • How many Nanodegree program spots will be available?
  • How do I enroll into the scholarship?
  • Are there any non-technical prerequisites or costs associated with this program?
  • Are there specific class hours when I need to be online or can I go through the lessons and study whenever I want?
  • Where does the program take place?
  • How is Phase 1 of this scholarship different from Udacity's single course offerings?
  • Which Nanodegree program is included in Phase 2?
  • How will the full Nanodegree program scholarships be earned?
  • How many hours per week should I expect to spend on my coursework in order to succeed in this program?
  • What will I learn?
  • Will I definitely get a job based on these scholarships?
  • What if I have additional questions?
  • Will there be a Certificate of completion provided?