Brown University’s School of Professional Studies offers a suite of AI programs designed for learners at every stage — from nontechnical leaders navigating organizational change to professionals building advanced machine learning models.

Whether you want to lead AI adoption, translate AI into business strategy or build and deploy machine learning models, you’ll find a pathway here.

AI Learning Pathways

Strengthen your foundational knowledge and learn to build and deploy artificial intelligence and data science models for industry-specific problem-solving.
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Lead responsibly in the age of AI by designing strategies that elevate — not replace — human capability. No coding required.
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How do I choose the right AI pathway for my career?

Explore pathways that align with your role, experience and goals.

Choose Human-Centered AI: Integrating Technology and Human Potential to:

• Guide teams through AI-driven change
• Strengthen trust, communication and ethical adoption
• Shape organizational culture around transparency and responsible innovation
• Help people understand, embrace and collaborate with AI tools

Best for: HR leaders, people and culture teams, organizational development leaders, ethics and governance professionals, communications leads, operations and strategy managers and team leaders.

Format: Live Online · Three Weeks · Six 90-Minute Sessions

Coding: Not required

Register

Choose Applied AI and Data Science to:

• Build and deploy machine learning and AI models
• Strengthen your technical resume for data-focused roles
• Work with real industry datasets and hands-on projects
• Demonstrate technical mastery through a capstone

Best for: Analysts, developers, ML engineers, data scientists, IT professionals and technical product managers.

Format: Online · Self-Paced · ~12 Weeks

Coding: Required (Python) with support modules included.

Register

AI News & Stories

In this article, Mike Hutchins, Professor of the Practice at Brown argues that leaders should resist the urge to give advice and instead ask "What do you think?" to help others develop their own problem-solving capabilities. Hutchins contends that while advice feels efficient, it often makes people feel misunderstood and dependent, whereas asking questions creates space for genuine insight and builds confidence through self-discovery.
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