About This Course

Unlock the power of AI in this intensive 1 week experience. Brought to you by Founding Editor-in-Chief Harvard Professor Xiao-Li Meng; HDSR Board Members and Authors.

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, especially 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.

Enroll Now

Who is it for?

Senior leaders and executives developing organizational AI strategies and implementation roadmaps

Department heads and project managers translating AI initiatives into actionable plans with measurable outcomes

Healthcare and education professionals integrating AI into patient care, teaching, and institutional operations

Consultants and government officials advising on AI transformation, governance, and regulatory compliance

Innovation and R&D directors building internal AI capabilities and sustainable innovation frameworks

1-Week Intensive

FRIDAY

"Unsure about applying AI."

WEDNESDAY

"I am clear on my AI strategy and key use cases."

NEXT FRIDAY

"Now implementing with confidence."

What makes this possible in 1 week?

Your actual challenges

(not generic cases)

Apply learning to your business context with personalized AI guidance and optional privacy accomodations.

LIVE faculty

(not recordings)

Daily 90-minute sessions with Harvard Data Science Review Board Members and Authors.

Personal AI tutoring

(not chatbots)

AI Tutor trained on course content provides personalized guidance throughout your learning.

1 week of structured daily learning: 30-minute preparation + 90-minute live sessions + 60-minute application work with Harvard Data Science Review faculty, personalized AI tutoring support and teaching assistants working in industry.

How It Works

1-Week Intensive Course Format

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 (3–3.5 hours)

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.

‍AI tutor trained on course content provides personalized guidance as you apply each day's learning to your organizational context. Culminates in peer presentations with faculty and cohort feedback.

Enroll Now

What Makes This Different

Harvard Data Science Review Rigor and Real World Application

By combining Harvard Data Science Review's academic rigor with real-world application, we've created a program that's both intellectually robust and immediately practical.

The Faculty Difference

Learn from Professors who inspire change, and AI Leaders and Teaching Assistants who work in industry.

The Format Difference

Personalizing your daily work leads to accelerated learning gain.

Immediate application to your professional context.

Work on your actual challenges, with inspiration from HDSR Board Members and Authors and support from Teaching Assistants and capable peers.

The Technology Difference

Our One-to-One AI tutoring system personalizes your learning.

Configured by HDSR Board members and Authors and trained on thousands of conversations, it is your tireless companion in your intensive 1-week learning journey.

We'll support you to accomplish more in 1 week than ever before.

Enroll Now

Meet Your Faculty

Prof. Xiao-Li Meng

Whipple V. N. Jones Professor of Statistics at Harvard University & Editor-in-Chief, Harvard Data Science Review

Xiao-Li Meng is a 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. 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.

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.

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.

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.

Prof. Xiao-Li Meng

Editor-in-Chief, Harvard Data Science Review

Statistician, former Harvard Dean of GSAS, known for bridging data science with real-world decision-making.

Prof. Andrew Lo

MIT Sloan School of Management

Finance & AI pioneer; developed the Adaptive Markets Hypothesis and co-founded fintech firms. Advises global regulators on risk, ethics and GenAI deployment.

Prof. Ani Adhikari

UC Berkeley, Data 8 Founding Faculty

Leading voice in data ethics and risk. Co-created Berkeley's landmark Data 8 course, reaching 5,000+ students a semester. Focuses on practical guardrails for GenAI projects.

Dr. Stephanie Dick

University of Pennsylvania

Expert in AI ethics and history of computing. Researches the social implications of artificial intelligence and automated decision-making systems.

What participants say about this learning format

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!"

Gavin J.

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!"

Vikki A.

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!"

Joey N.

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!"

Victoria N.

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."

Alna K.

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."

Carl V.

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!"
‍

Somaria R.

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."

Poena M.

Your 1-Week AI Strategy Journey

Friday → Friday • 12 pm EST daily

LIVE

FRI - SUN

Gen AI Foundations

Build conceptual understanding and start individual application

Prof. Xiao-Li Meng

Pre-course onboarding & foundational readings
Faculty presentation & group discussion (90 min)
Begin AI strategy framework with tutor guidance

MON

Gen AI Foundations

Build conceptual understanding and start individual application

Prof. Xiao-Li Meng

Pre-course onboarding & foundational readings
Faculty presentation & group discussion (90 min)
Begin AI strategy framework with tutor guidance

TUE

Technical Deep Dive

Strengthen understanding of key systems and methods

TBC

Technical primer preparation (30 min)
Technical deep-dive & hands-on tutorials (90 min)
Apply technical concepts with AI guidance

WED

Strategic Planning

Develop evidence-based vision and strategy framework

TBC

AI-guided strategy preparation (30 min)
Strategic framework session & peer consultation (90 min)
Refine strategy with AI feedback

THU

Implementation & Use Cases

Translate concepts into practical implementation plans

TBC

Implementation case study preparation (30 min)
Implementation methodology & risk analysis (90 min)
Finalize implementation approach with AI support

FRI

Presentations & Integration

Present your strategy and integrate feedback for next steps

TBC

Presentation preparation with AI support (30 min)
Presentation training & peer feedback setup (30 min)
Present AI strategy to faculty & peers (60 min)
Faculty synthesis & next steps planning

Enrol Now

Your 1-Week AI Strategy Journey

Friday → Friday • 12 pm EST daily • ± 3 hrs/day + optional evening lab

LIVE & ONLINE

Pre-course

Fri

Mon

Tues

Wed

Thurs

Fri

Pre‑course (self‑paced, complete before 3 Oct)
‍Orientation & Foundations

AI‑tutor onboarding: short chat with Paski to set goals and explore the platform.
Welcome podcast from Prof. Xiao‑Li Meng introducing the "Wisdom & Warnings" framing.
Curated readings + an optional "Foundations Path" to level‑set anyone new to Gen‑AI.
Use‑case inspiration gallery to spark ideas you'll refine during the week.
Outcome: prepared and inspired for the week ahead

Friday (3 Oct) – Welcome, Vision, Variation, and Values; Group Formation
‍Live with Prof. Xiao‑Li Meng

Lecture: Visions, Variations, and Values
Meet your 5‑person group, 30-person class, facilitators and TAs
Outcome: Fundamental data science concepts; meet your small group and class

Monday (6 Oct) – History of Intelligence & Ethics
‍Live with Prof. Stephanie Dick

Lecture: "What is intelligence: Making up minds"
1‑to‑1 tutorial with Paski to identify it's intellect; 1-1 tutorial on ethics in AI
Optional evening lab for deeper discussion on evaluating data bias.
Outcome: Clear historical perspective and an ethical framing of Gen‑AI

Tuesday (7 Oct) – AI Strategy
‍Live with Dirk Hofmann & Ulla Kruhse‑Lehtonen

Complete the AI‑Readiness Checker diagnostic.
Lecture and Strategic vision and opportunity matrix to spot high‑impact, low‑risk plays.
Optional evening lab for use case demos with no‑code prototypes.
Outcome: A first‑draft AI vision statement and mapped opportunity areas.

Wednesday (8 Oct) – Keynote 1: Data; Keynote 2: How Machines Learn
‍Live with Prof. Xiao-Li Meng, Prof. Ani Adhikari & Vinitra Swamy

Harvard's Deep Statistics Keynote: "How Data Inform and Misinform"
Berkeley College of Computing, Data Science, and Society Keynote: "How Machines Learn"
Continue development of strategic framework. Attend optional lab: Technical topics covered.
Outcome: Clarity and questions on data and how machines learn; progress with AI strategy formulation.

Thursday (9 Oct) – Use‑Case Definition
‍Live with Dirk Hofmann & Ulla Kruhse‑Lehtonen

Talk: From strategy to implementation
Playbook documentation sprint—capture governance steps, KPIs, owners.
Peer‑review lab and 1‑to‑1 Paski prototyping support.
Outcome: Documented use cases

Friday (10 Oct) – Panel Discussion and Celebrations
‍Live with Prof. Xiao‑Li Meng

Faculty panel discussion and reflections
Class-based individual contributions and celebrations
Celebrations of randomized 15 students in cohort
Outcome: AI Strategy & Use‑Case Playbook; Certificate of Attendance

Enroll Now

Frequently Asked Questions

What's the daily time commitment?

Plan for approximately 3 hours per day, designed for working professionals:
‍
- 30 minutes: Daily preparation work (flexible timing)
- 90 minutes: LIVE faculty session + group work (12:00-1:30pm EST)
- 60 minutes: AI-guided application work (flexible timing)

Additional optional work available for those who want to go deeper. The live sessions are fixed, but preparation and application work can be completed at your convenience.

What will I build during the program?

You'll develop your personalized AI strategy framework and use case formulation throughout the week, working with both faculty guidance, small group feedback and AI tutoring support.

The program is designed to give you a solid foundation and framework you can continue developing in your organization.

Can I participate if my company has data sharing restrictions?

Yes. We accommodate different organizational data policies. You can work on your strategic thinking using industry-appropriate scenarios without sharing confidential company information.

Alternative case studies and frameworks are available for organizations with strict data sharing restrictions, while still providing personalized guidance adapted to your role and sector.

Is this LIVE with HDSR Board Members & Authors?

Yes, the 90-minute faculty sessions are LIVE with Harvard Data Science Review Board Members and Authors, led by Editor-in-Chief Prof. Xiao-Li Meng, Prof. Ani Adhikari (UC Berkeley), Prof. Stephanie Dick (SFU), Dirk Hofmann (AI Consulting CEO), Ulla Kruhse-Lehtonen (AI Consulting CEO) and Vinitra Swamy (AI Startup CEO).

Each session is recorded for later review.

Who will be in my cohort?

Senior leaders across sectors: business executives, healthcare administrators, education leaders, government officials, and innovation directors.

This creates valuable peer learning opportunities and networking with professionals facing similar AI strategy challenges.

How does the AI tutoring work?

The AI tutor is trained on course content and provides personalized guidance as you develop your strategy framework and use cases. It adapts to your industry context and helps you apply each day's learning to your organizational challenges.

The AI tutoring supports your work during preparation and application phases, allowing you to progress at your own pace while building your strategy.

What level of technical knowledge do I need?

No coding required. This program is designed for business leaders and strategic decision-makers focusing on strategy, applications, and implementation—not technical development.

What happens if I miss a session?

All LIVE sessions are recorded. We strongly encourage LIVE attendance for maximum value, especially for peer collaboration and real-time faculty interaction.

What if I'm in a different time zone?

LIVE sessions run 12:00-1:30pm EST. That's:

9:00am PST (West Coast)
5:00pm GMT (London)
10:30pm IST (India)
1:00am CST next day (Singapore/Hong Kong)

All sessions are recorded for international participants.

Will I receive a certificate?

Yes, you'll receive a certificate of attendance from Harvard Data Science Review upon completing the program.

Still Have Questions?

Reach out - we're here to help you succeed.

Email:

‍info@hdsrcourses.org

Book a call

Gen AI Wisdom & Warnings · Harvard Data Science Review

Draft Your Gen-AI Strategy & Use-Case Playbook in 1 Week

Wisdom & Warnings from Harvard Data Science Review’s "Future Shock" Issue

Course Highlights:

Get the 3-page intensive outline

About This Course

Unlock the power of AI in this intensive 1 week experience. Brought to you by Founding Editor-in-Chief Harvard Professor Xiao-Li Meng; HDSR Board Members and Authors.

Who is it for?

1-Week Intensive

What makes this possible in 1 week?