AWS Machine Learning University
AWS Machine Learning University (MLU) offers a free program helping community
colleges, Minority-Serving Institutions (MSIs), and Historically Black Colleges
and Universities (HBCUs) teach artificial intelligence (AI) and machine
learning (ML) concepts. Our goal is to equip educators with the tools and
knowledge to bring cutting-edge AI/ML education to diverse student populations.
Based on the same curriculum used to train HAQM's own developers, the program
combines educator training opportunities and educational content resources to
help institutions deliver courses on Machine Learning and Generative AI. MLU
program content is available to all colleges and universities, with priority
consideration for professional development (trainings and other events) given
to community colleges, MSIs, and HBCUs in the U.S.
Benefits
Open-source educational content
Build your AI/ML teaching resources with regular content releases on YouTube and GitHub, spanning various Generative AI, Machine Learning, and Deep Learning topics. Available to all educators.
Educator enablement bootcamps
Participate in intensive, multi-day AI/ML training sessions taught by AWS experts, offering hands-on experience with cutting-edge tools and techniques in Machine Learning and Generative AI. Available to selected educators.
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A community of practice
Access a dynamic network of educators for AI/ML knowledge sharing, cross-institutional collaboration, and regular professional development sessions led by industry and academic experts. Available to selected educators.
Educator spotlight
The AWS Machine Learning University educator enablement program was sparked by a letter from Houston Community College (HCC) professor Dr. Raymond Brown to the AWS Machine Learning University team. Previously, Dr. Brown had adapted early versions of Machine Learning University’s videos, labs, and notebooks to help open the world of AI and ML to his students. HCC also received direct input from a cross-section of AI technology industry leaders, which, together with AWS’s Machine Learning University, contributed to HCC having built the first AI Associate of Applied Science degree program to be launched at a Texas community college. Through a pilot bootcamp, AWS has already trained 25 educators from 22 institutions to teach AI & ML through the MLU program.
"The early Machine Learning University content was so useful to me and really helped us to kickstart the AI program at Houston Community College. I’m thrilled that AWS is evolving the content and adding significant support for educators through the new educator enablement program. When it comes to AI, students are hungry to learn everything they can, there’s always something in AI that will interest anybody who touches it."
Dr. Raymond Brown, Professor - Houston Community College
How to get started
Step 2: Receive program updates
Qualified educators that complete the form will receive notifications about program updates, open-source content releases, and educator bootcamp opportunities.
Step 3: Respond to Program "Call for Nominations"
When announced, eligible educators can self-nominate during our periodic Calls for Nominations. Selected participants join program cohorts with access to educator bootcamps and our community of practice. These calls are announced throughout the year.
Frequently asked questions
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General program information
Q: What is it?
The AWS Machine Learning University educator enablement program provides faculty at community colleges and universities with the necessary skills and resources to teach Artificial Intelligence and Machine Learning (AI/ML). The program prioritizes educator support for community colleges, Historically Black Colleges and Universities (HBCU), and Minority Serving Institutions (MSI) to make pathways to AI/ML jobs more accessible for a more diverse population of students.
Q: Who can participate?
While all educators can access our free educational content, the comprehensive program (including Traditional ML and Generative AI bootcamps) prioritizes educators and institutional executive administrators from community colleges, HBCUs, and MSIs. Participating institutions should offer accredited programs and plan to develop or expand AI/ML coursework.
Q: What are the program offerings?
We offer three key components: (1) open-source AI/ML educational content built by AWS Machine Learning University, freely available to all educators. For selected institutions, we also provide: (2) Traditional Machine Learning and Generative AI educator bootcamps (virtual and in-person) to build teaching capacity; and (3) a community of practice offering expert-led sessions and cross-institutional collaboration opportunities.
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Program eligibility
Q: How can I participate in an educator bootcamp?
Faculty are encouraged to complete the interest form on this page to receive access to program resources and updates regarding upcoming bootcamps.
Q: How much does it cost to participate?
There is no direct cost for an institution/faculty member to participate. The program provides modular AI/ML content, educator training, and opportunities to attend professional development events.
Q: I completed the interest form and have not been selected for a cohort yet. How are program participants selected?
Selection for program cohorts occurs periodically throughout the year, with priority given to community colleges, HBCUs, and MSIs. Each cohort includes a limited number of spots for educators (higher education faculty), institutional executive administrators, and returning program alumni. We announce new cohort opportunities through our interest form distribution list.
Q: Am I eligible to participate in a bootcamp if I don’t teach Computer Science courses?
Faculty members who are going to or plan to offer AI/ML course as part of a certificate or degree in the U.S. are eligible to participate in the bootcamp. To ensure educators are set up for success, we recommend educators have foundational knowledge of how to read Python and basic familiarity with Git. If accepted to one of our bootcamps, we will share prerequisite learning resources with you, so you are adequately prepared for Day One of our training.
Q: Why should I/my institution participate in this program?
Training students for AI/ML careers is an opportunity to accelerate students toward in-demand jobs and set them up for a path where continued growth is a real possibility. Those actively working in AI and providing technical inputs into AI applications earn salaries of $95,010.
The purpose of this program is to bridge curriculum, time and resource gaps across higher education, putting the power to choose what will best serve the students at their college or university into the hands of educators themselves. By offering high-quality, ready-to-teach content and tools, teaching faculty are prepared to make AI/ML a part of their classrooms with minimal effort and set students up for high-paying, in-demand careers.