LIVE online Sessions from MIT Faculty

Applied AI and Data Science Program

Learn to build AI-powered solutions for business problems using Agentic AI, Data Science, and Machine Learning skills, developed through 15 live online sessions from world-renowned MIT faculty. Gain deep hands-on expertise with LangGraph, Adaptive RAG, n8n, and Claude through project work, progressing from ML foundations to neural networks and multi-agent AI workflows.

Application closes on 28th May 2026

15 Weeks

Program Duration

LIVE Online

Sessions by MIT faculty

Mentorship

by Industry Practitioners

16 CEUs

Upon Completion

Structured learning experience to Build Fluency in Top AI Tools

Designed by MIT Faculty, the program offers a comprehensive curriculum that provides a foundational-to-applied pathway for all professionals—from those needing technical depth to architect multi-agent systems to those requiring the strategic judgment to lead and evaluate reliable, data-grounded AI solutions.

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Agentic AI Orchestration

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Multi-Agent System Design

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AI-Assisted Programming

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Adaptive RAG

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Neural Network Architecture

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AI-Assisted Statistical Reasoning

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Recommendation System Engineering

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Ethical Governance & Risk Management

2

Hands-on projects

10+

Real-world Case Studies

2

Hands-on projects

10+

Real-world Case Studies

Upskill in AI and Data Science

Earn a certificate from the world’s #1 university

Share this certificate with your professional network and get recognized

#1

MIT's Rank in World Universities

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QS World University Rankings, 2025

#1

MIT’s Rank in AI and Data Science

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QS World University Rankings by Subject, 2025

#2

MIT's Rank in National Universities

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U.S News & World
Report Rankings, 2024-2025

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Note: The image is for illustrative purposes only. The actual certificate may be subject to change at the discretion of MIT Professional Education.

#1

MIT's Rank in World Universities

logo

QS World University Rankings, 2025

#1

MIT’s Rank in AI and Data Science

logo

QS World University Rankings by Subject, 2025

#2

MIT's Rank in National Universities

logo

U.S News & World
Report Rankings, 2024-2025

Get an exclusive course sneak peek

tick Preview the learning experience through demo videos from MIT Faculty

tick Explore the capstone & course projects

tick Experience sample mentorship sessions with AI and Data Science experts

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Our alumni experience Why our alumni recommend the program

Here’s how this program helped learners excel in their career

  • "I would recommend the program to any aspiring data scientist."

    As a busy working professional, I’m incredibly thankful for the flexibility this program offered without diminishing the content and experience of hands-on learning.

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    Tanya Johnson

    Customer Engineering Manager

  • "Felt supported at every aspect of the journey"

    The attention to detail in every aspect of the program was amazing. Although the pace and rigor of the course was intense, I felt supported throughout the program.

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    Adrian Mendoza

    Director, UX Strategy & Design

  • "A necessary course for those interested in Data Science."

    The learning platform is so organized, compared to others. The mentors' engagement was astonishing. The program coordinator is very supportive and addressed all my concerns.

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    Khashayar Ebrahimi

    Senior Engineer, Solver Developer

  • "Convenient for working professionals"

    Course is worth every penny for data science professionals. It promises high-quality education in a compact delivery portal, which is convenient for working professionals

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    Brooks Christensen

    DevOps Engineer

Learn Data Science, AI & Machine Learning with

World-renowned MIT faculty

  • Devavrat Shah

    Devavrat Shah

    Andrew (1956) and Erna Viterbi Professor, EECS and IDSS

  • Munther Dahleh

    Munther Dahleh

    William A. Coolidge Professor, EECS and IDSS; Founding Director, IDSS

  • Caroline Uhler

    Caroline Uhler

    Professor, EECS and IDSS

  • John N. Tsitsiklis

    John N. Tsitsiklis

    Clarence J. Lebel Professor, Dept. of Electrical Engineering & Computer Science (EECS) at MIT

  • Stefanie Jegelka

    Stefanie Jegelka

    Associate Professor, EECS and IDSS

Designed for working professionals like you Why join the Applied AI and Data Science Program

  • LIVE online sessions by MIT faculty

  • Mentorship from AI and Data Science experts

  • Fuel your career transitions with dedicated career support

  • Build a portfolio with a hands-on project and a three-week capstone project

  • Dedicated Program Manager to assist with all queries

Delivered in collaboration with

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MIT Professional Education's Applied AI and Data Science Program, with curriculum developed and taught by MIT faculty, is delivered in collaboration with Great Learning. Great Learning is an ed-tech company that has empowered learners from over 170+ countries in achieving positive outcomes for their career growth. Accessibility

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Google

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4.7

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Course Report

Rated by worldwide learners

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Drive decisions using AI, Data Science, and Agentic AI techniques

Solve complex problems by leveraging AI for effective decision-making.

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