Equip your institution with resilient AI education.

Build the AI competencies and strategic thinking required to drive innovation and solve real-world problems.

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A dynamic online learning experience

With Universal AI, MIT experts equip learners from universities and companies with a shared language and understanding of the possibilities and limitations of AI – from the theoretical foundations to real-world applications across industries.

Gain a robust understanding of the theories, concepts, and problem-solving approaches of AI systems.

Identify opportunities to increase efficiency and improve decision-making in the workplace.

Apply competencies in domain-specific contexts based on personal or professional interests

Schedule a call with us

What
to expect

01

100+ hours of MIT-curated content, spanning foundational fluency and domain-specific expertise.

02

MIT Open Learning certification, globally recognised, stackable, and credit eligible.

03

Customisable learning pathways, tailored to your team’s roles, functions, and industry context.

What
to expect

Generative AI, the Future of Work, and Human Creativity

Multimodal AI

LLM-based AI Agents

AI Explainability and Fairness

AI Ethics

Python Coding Part 1

Python Coding Part 2

Foundations of Data Analytics and Machine Learning

Supervised and Unsupervised Learning

Foundations of Neural Networks

Hands-on Deep Learning

Deep Learning and Computer Vision

Data-Driven Prescriptive AI

Model-Driven Prescriptive
AI Part 1

Model-Driven Prescriptive
AI Part 2

Large Language Models

AI and Sustainability: Energy

Sustainability

AI for Transportation: From Concepts to Implementation

Mobility

AI and Precision Medicine

‍Healthcare

AI and Sustainability: Transportation

Sustainability

AI and Entrepreneurship

Innovation

Holistic AI in Medicine

Healthcare

AI and Precision Medicine

‍Healthcare

Holistic AI in Medicine

‍Healthcare

AI and Energy

Sustainability

AI and Transportation & Logistics

Mobility

AI and Human Communication

Business

AI and Commerce

Business

AI and Sustainability: Transportation

Sustainability

AI and Sustainability: Energy

Sustainability

AI and Entrepreneurship

Innovation

Prescriptive AI for Social Good

Public Sector

learn more

Earn & stack Universal AI Module
Certificates as you progress

Foundational Module Certificates

Vertical Modules Certificates

meet our
faculty

Dimitris Bertsimas

Vice Provost for Open Learning , MIT

John Guttag

Professor of Computer Science and Electrical Engineering, MIT

Rama Ramakrishnan

Professor of the Practice of AI/ML, MIT Sloan School of Management

Jinhua Zhao

Director of MIT Mobility Initiative, Professor of Cities and Transportation

Saurabh Amin

Edmund K. Turner Professor and Co-Director of the MIT Operations Research Center

Bill Aulet

Professor of the Practice of Entrepreneurship, MIT Sloan School of Management

Ana Bell

Lecturer, MIT

Alexandre Jacquillat

Associate Professor of Operations Research and Statistics, MIT Sloan School of Management

Paul Liang

Assistant Professor, MIT

Ana Trisovic

Research Scientist, MIT

in cooperation with

Talk to us

Let’s map your organisation’s AI learning pathway

Company Size*

1000+

501 to 1000

251 to 500

0 to 250

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Select Industry

BFSI

Private banks

Public sector banks

NBFC

Life insurance

General insurance

FinTech

Auto, Manufacturing & Pharma

Automotive & auto components

Pharmaceuticals & life sciences

Healthcare providers

Industrial & process manufacturing

Retail & Consumer

FMCG & FMCD

Retail & QSR

Real estate & hospitality

Infrastructure & construction

Packaging & allied

Media & entertainment

Telecom operators

Energy & utilities

Logistics & transportation

Professional & business services (non-IT)

Education institutions

Tech Services & GCCs

IT services & consulting

Engineering & R&D services (ER&D)

Software product & SaaS

Internet & consumer tech

Global capability centres (GCCs)

Telecom & networking tech

Semiconductors & hardware

ITeS & business process management

IT staffing & talent solutions

Other

Please select an item in the list.

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FAQs

Who is Universal AI for?

Universal AI is a flexible curriculum designed for the needs of a variety of institutions including universities and companies.

For universities looking to:

Access the latest AI research and knowledge
Complement and fill curriculum gaps
Offer elective or add-on programs to students

For companies looking to:

Improve business processes, innovations, and outcomes
Close the AI knowledge gap amongst employees
Invest in their talent pipelines

What does a module look like?

Universal AI is entirely self-paced and asynchronous, allowing learners to progress at their own speed. Each module is comprised of 4-8 lectures accompanied by knowledge checks, guided exercises, and assignments. Learners can get help and ask questions from the AskTIM AI tutor.

Are there hands-on exercises?

Hands-on exercises, led by MIT teaching assistants, accompany each module. Building on the theories and concepts introduced in the lectures, the TA’s ask learners to apply them to real-world examples using provided codes to complete the assignments.

What is the AI tutor? How does it work?

The AI tutor, AskTIM, supports a more personalized Universal AI learning experience on the MIT Learn platform. Learners can interact with the AskTIM chatbot to ask questions about the lectures and exercises or get help on homework and knowledge checks. AskTIM can also help learners chart their unique learning journey through the Universal AI curriculum based on their specific goals.

Can learners earn certificates?

Yes, learners earn and stack certificates as they progress through the curriculum. Learners earn a Universal AI Module Certificate after successfully completing a module. These can be stacked towards a Universal AI Foundations Series Certificate (earned after completing all foundational modules) and a Universal AI Program Certificate (earned after completing all foundational modules plus at least one vertical module).

Equip your institution with resilient AI education.

A dynamic online learning experience

What
to expect

What
to expect

16 Foundational
Modules

Domain-Specific
Vertical Modules

10+ Domain-Specific Vertical Modules

Earn & stack Universal AI Module
Certificates as you progress