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96% |
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of industry professionals say that they plan to use AI simulations, such as digital twins. |
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98% |
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of companies think AI can help overcome labor market challenges. |
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82% |
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of leaders said that their employees believe that working with AI technologies will enhance their performance and job satisfaction. |
Leading global organizations need business and technology leaders who can confidently navigate the fast evolving landscape in Artificial Intelligence (AI) and Machine Learning (ML) with a strategic perspective and ensure success through business applications. Knowledge and skills in application of AI and ML can help drive business growth, secure competitive advantage and ensure continued career progression.
The “AI and ML: Leading Business Growth” program by MIT Professional Education will arm you with the knowledge, tools, and best practices needed to lead strategic initiatives aimed at leveraging cutting-edge AI and ML to drive innovation, efficiency and business growth.
While you explore the critical aspects of AI and ML, the program’s focus is on empowering you, as a business leader, to leverage the knowledge to work on efficiency, solution selection, implementation, risk management, and the impact on driving business growth.
You will gain a much better understanding of how to leverage AI and ML to benefit the future of your business by effective planning, and alignment with the strategic goals of the organization. You also will come to understand challenges inherent in deploying these exponential technologies and learn how to address them.
This AI and ML program is a comprehensive 21-week action-learning-based live online program led by MIT faculty. You will benefit directly from their expertise and research-driven insights as you learn, experiment, implement, and reflect, while comfortably managing your work responsibilities from any geographical location around the world.
PROGRAM BENEFITS
After the completion of this program, you will be a part of a cohort of global leaders and practitioners in the field of AI and ML.
You will also receive the benefits listed below:
- You will become a member of the MIT Professional Education alumni network and join the exclusive MIT PE LinkedIn group
- Become a part of a cohort of global leaders and practitioners in the field of AI and ML
- Access MIT Professional Education sponsored events, webinars, and networking opportunities
- Enjoy One-year digital subscription to MIT Horizon
- Access updates on faculty research, new programs, and MIT initiatives via our communications
- Enjoy fifteen percent (15%) discount on enrollment in future MIT Professional Education offerings (Short duration open enrollment programs of 5 days or less and online courses)
*Benefits are subject to change and some may require an additional fee.
KEY TAKEAWAYS
- Gain a comprehensive understanding of AI evolution and explore AI’s real-world applications and transformative use cases in global business
- Develop the expertise to lead AI/ML initiatives from ideation to deployment using a structured approach
- Learn techniques and frameworks to ingrain a data-driven decision-making approach across the organization, enabling high-performing and robust AI capabilities
- Ensure ethical and responsible implementation of your AI solution while maintaining transparency and compliance with AI governance practices
- Unlock new opportunities by incorporating deep learning and neural networks in modern business
- Leverage Agentic AI to revolutionize human-machine collaboration and automate enterprise workflows
- Gain real-world insights from industry practitioners on AI implementation, challenges and emerging trends
- Develop a robust AI/ML implementation plan by incorporating real-world data, well-defined metrics, evaluations, and decision-making frameworks
- Explore how LLMs can be customized to specific business needs to drive accuracy, efficiency, and intelligent automation.
THE MIT PROFESSIONAL EDUCATION ADVANTAGE
The mission of MIT Professional Education is to provide a gateway to renowned MIT research, knowledge, and expertise for those engaged in science and technology worldwide, through advanced education programs designed for working professionals.
MIT Professional Education supports MIT’s vision, including connecting practitioner-oriented education with industry. MIT Professional Education provides continuing education courses and lifelong learning opportunities for science, engineering, and technology professionals at all levels, from around the world. Worthy of note is that MIT professors and lecturers lead and teach all MIT Professional Education offerings. MIT Professional Education fosters the development of innovative leaders equipped to address complex problems globally.
PROGRAM EXPERIENCE
Through this AI and ML program, MIT Professional Education provides a tailored world-class educational experience for professionals from around the globe looking to advance their careers and creatively address complex problems.
MIT faculty will guide you to understand the current and future capabilities of this transformative technology, in order to effectively unlock its potential within business. At the end of the program, you will be better prepared for immediate and practical business action.
The program does not require coding in python or R or any such language. However, it requires the ability to be agile with data. Participants are strongly encouraged to think about the strategic use cases that they would like to address. Above all, a positive attitude and curiosity to learn is of utmost importance.
PROGRAM FACULTY
All MIT Professional Education instructors are MIT professors and lecturers. You will learn from and network with prominent scholars, many of whom have founded their own companies and make headlines across the globe with their accomplishments.
The program is led by:
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Devavrat ShahProfessor of Electrical Engineering and Computer Science, MITDirector, Statistics and Data Science Center, MIT
Devavrat Shah is a professor with the department of electrical engineering and computer science, MIT. He is a member of the Laboratory for Information and Decision Systems (LIDS) and Operations Research Center (ORC), and the Director of the Statistics and Data Science Center (SDSC) in IDSS. His research focus is on theory of large complex networks, which includes network algorithms, stochastic networks, network information theory and large-scale statistical inference. Prof. Shah was awarded the first ACM SIGMETRICS Rising Star Award 2008 for his work on network scheduling algorithms. He received the 2010 Erlang Prize from INFORMS, which is given to a young researcher for outstanding contributions to applied probability. He is currently an associate editor of Operations Research.
Prof. Shah’s research is driven by a desire to engineer a socially integrated network where a typical user may connect through a smart-phone, socialize through Facebook, learn from Wikipedia and help bring socio-political change through Twitter. Such a “social network” is in dire need of better network infrastructure; a typical user is anxious for help to be able to cope with the information overload; and scalable computational systems are required to process large amounts of data. As a network theorist, his contributions towards addressing these challenges involve designing better wireless access network and processing social data and scalable algorithms that can operate in data center like facility.
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Jehangir AmjadLecturer, MIT Professional EducationHead of AI Platform at Ikigai Labs
Jehangir Amjad is the Head of AI Platform at Ikigai Labs and has been a Computer Science Lecturer both at Stanford and CSAIL at MIT, teaching courses in Machine Learning and Artificial Intelligence. He was awarded the Jerome H. Saltzer Award for Excellence in Teaching at MIT. Jehangir joined Ikigai from Google where he was a Software Engineer where at first he helped build and deploy distributed pipelines for statistical inference to help make Google’s global networking infrastructure increasingly more robust and reliable. He then joined the open source Data Commons project at Google which represents the largest knowledge graph of public data. Jehangir received his PhD in Machine Learning from MIT and BSE in Electrical Engineering from Princeton University.
CURRICULUM
The program curriculum is uniquely designed to transform high-achieving professionals into strategic leaders with the skills and insights to transform their businesses and industries with the power of AI and ML. The program curriculum focuses on the application of key concepts and frameworks in the context of industry and business to give you a definitive competitive advantage.
You will gain a comprehensive understanding of the systemic aspects and practical application of AI and ML as you dive deeper into seven main building blocks to develop transformational AI and ML capabilities.
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1
AI history and nomenclature
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2
Life cycle of AI/ML initiatives
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3
Going from Data to Insights
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4
ML Modeling and Algorithms
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5
Responsible AI and Explainability
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6
Beyond Predictions: Decision Making with AI
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7From Idea to Implementation to Deployment: practitioners’ perspectives
ACTION LEARNING TEAM IMPACT PROJECT
In this final project, you will work in teams to tackle a real-world problem using AI. You will define a problem statement, select a dataset, and design a solution.
Teams can choose from three project types:
A. AI-driven demand forecasting to analyze trends and optimize decision-making
B. AI-powered conversational agents to enhance data interaction and insights
C. An end-to-end AI/ML solution covering the full implementation lifecycle
Beyond development, you will assess effectiveness, considering implementation challenges and cost-benefit analysis. This hands-on experience allows you to apply AI concepts from the program in a meaningful way and bring your ideas to life.
KEY MODULES
- AI Evolution and Fundamentals
- Managing the AI/ML Initiative Lifecycle from Ideation to Deployment
- Understanding Data, Conditioning, and AI Bias
- Predictive Analysis and Decision Systems: Transforming Data for Informed Decisions
- Leading Digital Transformation in the Age of AI
- Implementing AI/ML in Business – Evaluation, Generalization, and Real-World Applications
- Explainability and AI Governance: The Imperative of Ethical and Responsible AI
- Building and Deploying Robust AI Capabilities
- Agentic AI and the Future of Autonomous Decision-Making
- Exploring the Potential of Deep Learning and Neural Networks on the Future of Business
ADMISSIONS
The “AI and ML: Leading Business Growth” program follows a rolling process (earlier application, earlier consideration) and participant applications are evaluated as soon as they are received. The step-by-step process is outlined below.
KEY DATES
| Round | Deadline Date | Application Fee |
|---|---|---|
| Upcoming Round | USD 100 |
Please Note:
- Considering the limited seats in the program and rolling admission process (first come – first serve), it is always more beneficial for candidates to apply as soon as possible.
- Application fee is refunded only in the case an applicant is not offered an admission to the program.
PROGRAM FEE
The program fee is inclusive of all taxes. It covers the teaching fee, usage of the learning platform, and all online learning materials. It does not cover any other expenses that are not expressly mentioned above.
*Flexible financing options are available for this program. Please connect with your program advisor for more information. Limited seats available per cohort.
ABOUT MIT
Founded in 1861, MIT is committed to generating, disseminating, and preserving knowledge, and to working with others to bring this knowledge to bear on the world’s great challenges. MIT is dedicated to providing an education that combines rigorous academic study and the excitement of discovery with the support and intellectual stimulation of a diverse campus. MIT is profoundly global and the community gains tremendous strength as a magnet for talent from around the world. Through teaching, research, and innovation, MIT’s exceptional community pursues its mission of service to the nation and the world. MIT seeks to develop in each member of the MIT community the ability and passion to work wisely, creatively, and effectively for the betterment of humankind.
MIT is an integral part of its host city of Cambridge, a diverse and vibrant community noted for its intellectual life, history, and thriving innovation climate.
To learn more about MIT, click here.
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