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Applications close Thursday · Course begins April 14
16 places left until tuition increases
Join senior professionals from Amazon • Adidas • American Express • Google and Charles Schwabb
100% refundable until April 14
Personalized to Your Context
Faculty Inspires With Authoritative Teaching. AI Tutorials & Industry Labs Work With Your Context.
No more translating generic cases to your reality - this intensive adapts to your Agentic AI challenges and opportunities through AI-powered tutoring and live faculty guidance.
Format: 3 Tuesday Faculty Sessions (live) + Industry Labs (live and optional) + AI-Guided Self-paced Work Between Sessions + TA Office Hours (optional)
Experience Personalization Immediately
Get immediate access and your AI tutor begins calibrating to your context, opportunities and challenges.
Why This Intensive Exists
Harvard Data Science Review Board Members created this program to address a critical gap in Agentic AI education.
The Challenge
Agentic AI is unchartered territory. Leaders need authoritative, tested frameworks for thinking about and implementing Agentic workflows.
Our Approach
Harvard Data Science Review Board expertise meets personalized AI technology. Define your high-value Agentic AI workflow using frameworks adapted to your context from day one.
The Result
Complete your agent-first workflow design, use case canvas, and implementation brief, ready to hand off to your technical teams.
93%
Enroll After Experiencing the AI Campus
Here's what they discover after reserving their spot
"This program has been truly transformative. The podcast, the avatars, the use of actual artificial intelligence is truly absolutely amazing... I am learning so much in such a short period of time."
Paul Michael Miles
after completing the onboarding and pre-work for the Generative AI course
Where You'll Be in 2.5 Weeks
Deliverables informed by HDSR Board Members and Authors, underpinned by confident, responsible AI leadership
Agentic AI Workflow
Your high-value workflow redesigned for autonomous operation, complete with human-agent collaboration patterns, technical specifications, and governance checkpoints
Use Case Canvas
Multiple Agentic opportunities identified and prioritized by impact, feasibility, and strategic fit
Implementation Brief
Complete AGENT Framework application including build-vs-buy recommendations, vendor evaluation criteria, governance frameworks, risk controls, resource requirements, and technical specifications — everything your teams need to begin execution
Plus see live demonstrations of agent-building tools (AgentKit, Copilot Studio, No-Code platforms) in industry-led labs — helping you understand capabilities and evaluate solutions.
Your 2.5 Week Journey
Structured learning with personalized AI curriculum and expert faculty guidance
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Before Apr 14
Starts immediately when you enroll—don’t wait for the start date
What You’ll Do:
20-minute AI tutor conversation about your role, industry, challenges, and goals
Pre-work modules (3-4 hours total, self-paced): Systems Thinking, Technological Intuition, Foundations of Intelligence
Begin your document: Initial assessment of your organization’s AI readiness using adapted AI Strategy Framework
What You’ll Have by Apr 30:
Foundation complete, clear understanding of how course connects to your goals, initial organizational context documented.
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Week 1
April 14 - 18
TOPIC: Identifying your highest value Agentic Use Case
What You’re Building:
Pain Point Map and Use Case Canvas: Identify and evaluate 5–10 potential agentic AI opportunities in your organization
AUDIT section of your document: Current state workflow mapped, pain points quantified, inefficiencies documented
Your selected workflow: One high-value use case chosen based on impact, feasibility, and strategic fit
Support Available:
AI tutor guides you through pain point mapping
Study leading case studies of AI agents by business function
By End of Week 1:
You’ll have your high-value workflow identified, current state documented, and clear vision for your agent-first design. Ready to move into detailed workflow redesign.
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Week 2
Apr 20 - Apr 24
TOPIC: Agentic AI Strategy and Agent Framework, Designing your Agentic Workflow
What You’re Building:
GAUGE section: Workflow complexity analysis, agent vs. human task allocation, feasibility assessment
ENGINEER section: Detailed agent-first workflow design, orchestration plan, technical architecture recommendations
Technical Brief: Requirements specifications for engineering teams to execute, including build-vs-buy analysis, ethics and regulatory considerations
Human-Agent Workflow Map: Visual flowchart showing current state vs. agent-first future state
Support Available:
Direct guidance from DAIN founders (framework creators)
AI tutor helps you apply AGENT framework to your specific workflow
Optional: 15-minute TA consultations for personalized feedback
By End of Week 2:
You’ll have your complete agent-first workflow designed, with detailed technical briefs ready to hand to engineering teams. Your strategy is taking shape.
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Week 3
Apr 27 - Apr 30
TOPIC: Change Management, KPIs, and Preparing Implementation Briefs for Agent-First Workflows
What You’re Building:
NAVIGATE section: Governance framework, human-agent role definitions, change management plan, ethical and regulatory considerations
TRACK section: Success metrics, KPIs, monitoring framework
Strategic Implementation Plan: Sprint timeline, phase breakdown, resource requirements, risk mitigation
Executive Summary: Key findings and recommendations for leadership
Support Available:
Faculty guidance on change leadership and governance
AI tutor helps finalize your complete document
Optional: Final TA consultations for polish and feedback
By End of Week 3 (Apr 30):
You’ll have your complete Agentic Workflow Design Document:
Executive Summary
Operating Model Assessment (current + target state)
All AGENT framework sections (Audit, Gauge, Engineer, Navigate, Track)
Strategic Implementation Plan with sprint timeline
Technical Briefs for engineering teams
Governance and change management plan
Ready to present to leadership. Ready to brief technical teams. Ready to implement.
Remember: You’re not alone in this journey. AI tutor available 24/7, TAs available for consultations, faculty guiding you through live sessions, and peers in your cohort facing similar challenges. All support designed to help you succeed.
Get Ahead in Agentic AI Today
AI Campus access unlocks immediately upon acceptance
Not sure? Take 2-min fit assessment
Why Harvard Data Science Review
Everything data science and data science for everyone.
About Harvard Data Science Review
is an open-access journal launched in 2019 under the Harvard Data Science Initiative to connect research, education, and real-world applications in data science. Led by Xiao-Li Meng, it emphasizes reproducibility, readability, and broad accessibility, publishing themed issues and a podcast that integrate ethics, policy, and societal impact. While still building academic prestige, its strengths lie in interdisciplinarity, openness, and accessibility, with opportunities to expand global reach and deepen its influence beyond academia.
This intensive is based on HDSR's Special Issue: "Future Shock: Grappling With the Generative AI Revolution" — bringing cutting-edge research directly to your strategy.
Academic Excellence
- • Peer-Reviewed, Open Access Rigor
- • Interdisciplinary Depth
- • Harvard + MIT Press Credibility
Industry Impact
- • Bridging Academia and Practice
- • Shaping Standards and Trust
- • Cross-Sector Influence
Learn from leaders shaping AI's future
Live weekly sessions with Harvard Data Science Review Board Members and industry pioneers
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 GSAS, Prof. Meng 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.
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Dr. Miguel Paredes
Partner, Kearney | AI Fund Fellow | Co-Editor, Harvard Data Science Review
Dr. Miguel Paredes is a Partner at Kearney and a Fellow at AI Fund, focusing on generative AI, data science, and value-creation strategy across industries. He serves as Co-Editor for the Industry Column at the Harvard Data Science Review and sits on the Board of the American Society for AI. Miguel holds a PhD in Applied AI and Data Science from MIT and completed the General Management Program at Harvard Business School
Dr. Ulla Kruhse-Lehtonen
Co-founder, CEO DAIN Studios Finland & Harvard Data Science Review Board Member
Dr. 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.
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.
Dr. Vinitra Swamy
CEO & Co-founder, Scholé AI
Dr. 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. Stephanie Dick
Assistant Professor, Simon Fraser University & Harvard Data Science Review Board Member
Historian of AI and computing, expert on AI's societal impacts and ethical development. Brings critical perspective on automated reasoning and the human side of AI transformation.
Join the Next Cohort
Learn directly from HDSR board members who are shaping Agentic AI's future
Certificate Requirements
Attend the 3 × Tuesday live sessions with faculty (or watch the recordings)
Complete all activities
Complete your Agentic AI Strategy and Framework documents by April 5
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