Brandeis Online

Upgrade your AI technology skillset with an online microcredential

As artificial intelligence transforms every corner of the STEM landscape—from biotech to engineering to data science—professionals must understand how AI works, where it applies, and how to engage with it ethically and effectively. This microcourse equips STEM professionals with a foundational understanding of core AI principles, empowering them to leverage AI tools for enhanced productivity, innovation, and problem-solving in their respective fields.

Through practical application, you will learn to identify real-world AI use cases, build functional prototypes using accessible no-code tools, and critically evaluate AI's capabilities, limitations, and ethical implications. The course emphasizes responsible AI implementation, fostering the necessary skills to communicate effectively about AI across interdisciplinary teams and adapt to the evolving landscape of artificial intelligence.

By the end of the course, learners will earn a digital badge that signals readiness to collaborate in AI-enabled environments.

Learners will be able 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

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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.