Overview
Join this class to learn how to spot, evaluate and build high-impact AI-first companies.
This semester we expect teams to produce end to end functioning prototype and customer traction for their startup idea. The class will teach students a variety of technical frameworks and tools for prototyping with AI. We will heavily use low-code GenAI tools.
This is a hands-on practical course. We will teach you to master systematic methods for identifying high-impact real-world opportunities for AI applications, learn technical fundamentals of the modern AI stack, and gain hands-on experience with rapid prototyping and product development. The course features guest lectures from leading AI scientists, CEOs, VCs, and culminates in a demo day with top investors from the MIT ecosystem.
We will pay specific focus to digital health, AI-driven sustainability and mobility, identity and privacy-tech, foundation models and decentralized AI.
NB: You can use this course for Entrepreneurship Minor credits. Fill up this form under 'E&I Context' and meet E&I minor advisor, Reza Rahaman (rezar@mit.edu) for sign off.
Follow these steps to register for the course.
- Step 0: Register for course : For MIT (Link), For Harvard (Link)
- Step 1: Questionnaire (Link 1) before February 6th
- Step 2: Finish short online course pre-requisites (Link 2) by February 13th
You must finish Step 1 to attend the first class. You will be expected to finish Step 2 and upload the snapshot that you've finished the course. If you have finished a degree course or have a professional background in these areas, you do not need to finish the online course.
- Pre-Course Info Session & Social: (Link, Link)
- LinkedIn group: (Link)
- Whatsapp group: (Link)
- Sign up for future updates: (Link)
Class Schedule: Thursdays 10 AM -12 noon in room E14-633 at MIT Media Lab starting February 6th
Course Instructors

Serge Vasylechko
Harvard Medical School AI
Leaders
Mentors
Background
This long running course has led to many spin offs including Dimagi, Cogito, Prosperia, Ginger, Sanergy, and nonprofit PathCheck Foundation.
Our previous class links:
- Fall'24: MIT Foundations of AI Ventures
- Spring'24: AI Venture Studio
- Fall'23: AI Venture Studio
- Spring'23: AI + Web3 for Impact: Venture Studio
- Fall'22: AI + Web3 for Impact: Venture Studio
- Spring'22: AI for Impact: Venture Studio
- Fall'21: AI for Impact ~ Building Global Ventures Solving Societal-Scale Problems
- Spring'21: AI for Impact
- Fall'20: Global Ventures ~ Data and AI for Resilience after COVID19
- Spring'20: AI for Impact ~ Towards Solving Societal-Scale Problems via Media Ventures
All other previous AI for Impact/Global Ventures class links can be found here:
Course Outline
Class Goals:
- Guide students to identify, evaluate and build high-impact projects with AI. Focus on deep technology applications that are best suited to students with top engineering and design skills at MIT.
- Advance "Big Ideas" into MVP-seed-stage for commercial consideration.
- Teach the technical fundamentals of the modern AI stack (rapid prototyping, deployment, and model management).
- Discuss practical trade-offs in AI product development (model accuracy, efficiency, and latency).
Timeline:
- Meet and Greet held at MIT/Harvard
- First day of class: Feb 6, 2025
- Mid-term review: March 14, 2025
- Final Class Presentations and "Demo Day" awards: May 8, 2025
Class Structure:
- Venture studio format, with team projects with 3-5 students per team
- Guest speakers share leading-edge thinking
- Minimum Viable Product (MVP) by the end of the term
- Demo Day
Support for Students:
- Weekly class mentor meetings on Thursday after class / guest lectures / work sessions
- Class visits to local start-ups and technology companies
- Data and AI scientists from startups for experience
- Sessions with startup coaches
Agenda
All times are listed in Eastern Standard Time (EST)
February 5, 2025
Meet & Greet 1: Course pre-meetup
Registration Link: (Link)
Join us to meet instructors and understand the pre-homework, timeline and expectations.
February 6, 2025
First day of class
MIT Media Lab, E14-633
February 13, 2025
Second Session of Class
February 20, 2025
Third Session of Class
February 27, 2025
Fourth Session of Class
Individual Meeting
March 6, 2025
Fifth Session of Class
March 13, 2025
Sixth Session of Class
Midterm
March 20, 2025
Seventh Session of Class
March 27, 2025
Eighth Session of Class
Individual Meeting
April 3, 2025
Ninth Session of Class
April 10, 2025
Tenth Session of Class
April 17, 2025
Eleventh Session of Class
April 24, 2025
Twelfth Session of Class
May 1, 2025
Thirteenth Session of Class
May 8, 2025
Final Class
Student final deliverables presentation
Social Event
Hosted at MIT Media Lab
Slides from Spring 2024 Demo Day at the Media Lab
Fall 2024 Demo Day at the Media Lab