Brandeis Online

Explore the fundamentals of artificial intelligence (AI) in a quick, online microcredential built for STEM professionals. 

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Elevate Your AI Skill Set in the STEM Field

AI now appears in various tools and processes across the STEM spectrum — from biotech modeling and engineering simulations to data science workflows — yet many professionals interact with these systems without fully understanding how they generate results. As a STEM professional, it’s imperative to know core concepts behind modern AI models so you can interpret outputs accurately, ask better technical questions and recognize when AI is being used appropriately. 

At Brandeis Online, our AI Fundamentals for STEM Professionals microcredential emphasizes critical thinking and ethical awareness, empowering you to leverage AI for enhanced productivity, innovation and problem-solving. You’ll learn how to:

• Explain AI concepts to effectively communicate and collaborate across interdisciplinary teams.
• Evaluate the capabilities, limitations and ethical risks of common AI tools and models.
• Investigate AI use cases and apply AI tools to solve challenges in STEM fields.

SIGN UP for the online ai fundamentals for stem professionals microcredential

 

Why Earn an AI Fundamentals Microcredential at Brandeis Online?

Our approach to AI fundamentals prioritizes clarity, responsible use and real-world application. This microcredential breaks down complex ideas into practical, STEM-relevant insights so you can build foundational AI literacy in a flexible format.

What sets Brandeis Online’s AI fundamentals microcredential apart:

• Short-term coursework, around 10-15 hours, that fits easily into your existing schedule so you can upskill quickly.
• Practical exploration of real AI use cases across scientific and technical environments.
• Experience with accessible no-code AI tools to build familiarity without advanced programming.
• Guidance on evaluating AI systems for accuracy, reliability and appropriate application.
• Focus on ethical decision-making, including bias, risk and responsible AI adoption.
• Skills for communicating AI concepts clearly across interdisciplinary teams.
• A digital badge upon completion that demonstrates your AI literacy and readiness to collaborate in AI-enabled environments.

What Can You Do With an AI Fundamentals Microcredential?

With foundational literacy in how AI models operate, you can communicate more effectively across interdisciplinary teams, evaluate when AI is being used appropriately and contribute to decisions involving data, modeling or automation. These skills apply across fields such as biotechnology, environmental science, healthcare, analytics and research, where AI-supported tools are becoming the standard. Whether you're advancing in your current role or preparing for future opportunities, this microcredential positions you at the forefront of an accelerating shift toward AI. 

Program Details

The following sections outline key components of the online AI fundamentals microcredential, including completion requirements, the intended audience and helpful answers to frequently asked questions.

Related Online Degrees and Certificates

After completing the online AI fundamentals microcredential, you may want to expand your knowledge through one of Brandeis Online’s master’s degrees, certificates or another microcredential. Our fully online programs in AI-driven leadership and software engineering offer pathways to develop stronger technical and strategic skills that can help you continue growing your career. Learn more about related online programs and other opportunities available through Brandeis Online:

• AI-Driven Leadership Master’s Certificate
• Software Engineering Master’s Degree

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Angelo Luo

Content Designer

Senior Technical Program Manager, Google DeepMind

 Luo is technical leader with more than 15 years of experience in software engineering and artificial intelligence. As a Senior Technical Program Manager at Google DeepMind, he currently direct programs focused on the evaluation and training of Gemini model frontier capabilities. His background also includes leading and scaling generative AI initiatives across Google’s suite of products.

His experiences have enabled me to create the AI Fundamentals for STEM Professionals microcredential because of his hands-on work in benchmarking AI and establishing frameworks for product decision making and performance tracking. This course draws directly from his experience managing the practical application and ethical considerations of generative AI in high stakes technical environments.

His teaching experience includes over 5 years in higher education, currently as an Adjunct Instructor of Brandeis University's Rabb School of Graduate Professional Studies. I am dedicated to fostering engaging discussions and providing mentorship to help professionals bridge the gap between core AI principles and real world STEM challenges.