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Gain the insights you need to leverage generative AI effectively, manage its risks responsibly, and drive innovation in your organization. This intensive demystifies generative AI, offering practical knowledge tailored to working professionals across sectors. Whether you're a business leader, educator, healthcare provider, or government official, you'll learn the fundamentals of generative AI, explore ethical considerations, identify innovative applications, and create actionable strategies and use cases to implement AI responsibly within your workplace.
Based on articles from Harvard Data Science Review, a guided reading of the Special Issue: "Future Shock: Grappling With the Generative AI Revolution"
That's why Board Members at the Harvard Data Science Review created this intensive program. In one week, you'll be on your way to gain wisdom and build confidence to turn AI uncertainty into AI leadership.
Friday → Friday • 12 pm EST daily • ± 3 hrs/day + optional evening lab
FRIDAY
"Unsure about applying AI."
WEDNESDAY
"I am clear on my AI strategy and key use cases."
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NEXT FRIDAY
"Now implementing with confidence."
Your actual challenges
(not generic cases)
Apply learning to your business context with personalized AI guidance and optional privacy accommodations.
LIVE faculty
(not pre-recorded)
Daily 90-minute sessions with Harvard Data Science Review Board Members and Authors.
Personal AI tutoring
(not chatbots)
Our AI tutor is trained on course content to provide personalized guidance throughout the week.
1 week of structured daily learning: 30-minute preparation + 90-minute live sessions + 60-minute application work with Harvard Data Science Review Board Members and Authors, personalized AI tutoring support and teaching assistants working in the industry.
A progressive 1-week journey from AI history and foundations to strategic clarity, with each day building your personalized AI strategy and use case definition through structured learning sequences.
Progressive Learning Journey
Move from AI foundations to strategic implementation across one focused week.
Pre‑course (self‑paced) → Friday: Welcome & Group Formation → Monday: History & Ethics of Intelligence → Tuesday: Strategic Planning → Wednesday: How Data Inform & Misinform; How Machines Learn → Thursday: Use‑Case Definition → Friday: Panel Discussion & Celebrations
Daily Structure: ~3 hours (built for a workday)
Each day follows a structured learning flow designed for working professionals.
30 min preparation → 90 min live faculty session → 60 min application work → optional evening lab
Live sessions include faculty presentations, peer collaboration, and guided work on your developing AI strategy.
Strategy and Use Case Definition
Throughout the week, build your personalized AI strategy and use case definitions.
Our AI tutor will provide personalized guidance as you apply each day's learning to your organizational context. Group work and optional evening labs allow for peer review and cohort feedback.
Prof. Xiao-Li Meng
Whipple V. N. Jones Professor of Statistics at Harvard University & Editor-in-Chief, Harvard Data Science Review
Statistician and former Harvard Dean of Graduate School of Arts and Sciences. He is well known for his depth and breadth in research, his innovation and passion in pedagogy, and his engaging and entertaining style as a speaker and writer.
Prof. Ani Adhikari
Teaching Professor of Statistics at UC Berkeley
Ani Adhikari is a Senior Lecturer in Statistics at UC Berkeley and a recipient of Berkeley’s Distinguished Teaching Award and Stanford’s Dean’s Award for Distinguished Teaching. With a Ph.D. from Berkeley and an undergraduate degree from the Indian Statistical Institute, Ani focuses on teaching and mentoring students.
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Dr. Stephanie Dick
Assistant Professor, Simon Fraser University & Harvard Data Science Review Board Member
Stephanie Dick is a historian of artificial intelligence, computing, and mathematics. She is an expert on AI's societal impacts and the historical development of automated reasoning, and co-editor of "Mining the Past" column at Harvard Data Science Review.
Dirk Hofmann
Co-Founder, CEO DAIN Studios Germany & Harvard Data Science Review Board Member
Dirk Hofmann is a co-founder of a Finnish-German Data and AI consultancy. He has executed Data and AI strategies for many different companies and industries. Before DAIN, Dirk headed up global Data/AI and innovation initiatives at Siemens, Nokia and Deutsche Telekom.
Ulla Kruhse-Lehtonen
Co-founder, CEO DAIN Studios Finland & Harvard Data Science Review Board Member
Ulla Kruhse-Lehtonen is a co-founder of DAIN Studios, a Finnish-German Data and AI consultancy. She executes data and AI strategies for many different companies. Before DAIN, Ulla headed up large data and AI departments in global companies such as Sanoma Media and Nokia.
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Vinitra Swamy
CEO & Co-founder, Scholé AI
Vinitra Swamy is a human-centered AI researcher and CEO of Scholé AI, an edtech spinoff focused on AI for education. She holds a PhD in Computer Science from EPFL, where she was recognized as a Rising Star in Data Science and received multiple awards for her contributions to machine learning and education research.
Take optional evening labs and learn from Berkeley Data Science graduates and Scholé deep dives
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A world-class course
"The combination of AI tutoring, group work, and expert insights made the learning process dynamic and engaging. The best part? Real-world applications and practical solutions that I can implement immediately. You guys are absolutely world-class!"
A fresh learning experience
"I loved the balance between AI-led discussions and group collaboration. The conversational format allowed for immediate understanding of complex issues, and the AI tutor’s ability to clarify and expand on topics was impressive. This was a perfect blend of modern learning techniques!"
Exceeded my expectations
"I’ve attended many training sessions, but this course stood out. The flexibility, the deep discussions on real-world challenges, and the AI tutor’s ability to guide and support learning made it a truly unique experience. I walked away with a refreshed understanding of key key issues!"
The future of training is here
"I never imagined AI could be such a helpful tutor! The combination of expert lectures, interactive discussions, and AI-driven feedback made learning efficient and enjoyable. This course set a new standard for online training!"
Challenging, engaging, & useful
"The case studies and breakout discussions forced me to think critically and learn from others. It was outside my comfort zone at times, but the structured format made it an incredibly valuable experience."
A must-do for professionals!
"Understanding financial management and legal aspects is crucial in this industry. This course provided clear insights and practical applications. The expert-led lectures and AI tutor made it one of the most informative sessions I’ve attended."
The best course I’ve attended
"This course was insightful and well-paced. The group discussions provided a great way to learn from others’ experiences, and the AI tutor kept things structured and engaging. I highly recommend it!"
Perfect balance of AI & experts
"The combination of AI and live discussions made learning effective and exciting. The real-world case studies and group work gave me valuable insights I don’t usually engage with. I walked away with practical knowledge I can apply immediately."
Still have questions?
Reach out - we're here to help you succeed.
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