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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 virtual 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 sound understanding of the strategic applications of AI and ML in business
- Gain the tools needed to develop a strategic vision and development plan focused on AI products and services
- Understand end-to-end AI architecture at the system engineering level
- Master the AI pipeline building blocks for developing AI system capabilities
- Discover the opportunities, capabilities, and scope of this transformative technology
- Develop frameworks to analyze and monitor the use of AI and ML in your own organization
- Communicate value proposition of AI and ML to stakeholders effectively to ensure success
- Benefit from the “voice of practitioners” across various industries
- Understand the challenges and risks associated with AI and ML implementations
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. You will also have the opportunity to design a roadmap for a real-world business case – tailored for your own industry. 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 will help you build expertise by leveraging best in class No-Code AI and ML platforms such as:
DISTINGUISHED FACULTY
All MIT Professional Education instructors are MIT professors and senior 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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David MartinezMIT Instructor and Laboratory Fellow, Cyber Security and Information Sciences Division, MIT Lincoln Laboratory
David R. Martinez is a Laboratory Fellow in the Cyber Security and Information Sciences Division at MIT Lincoln Laboratory. In this capacity, he is focusing on research and technical directions in the areas of artificial intelligence (AI), high-performance computing, and digital-enterprise transformation. Previously, Mr. Martinez served as an Associate Head in the Cyber Security and Information Sciences Division. He was also a member of Lincoln Laboratory’s Steering Committee.
Mr. Martinez has held many past Laboratory leadership roles, including Leader of the Embedded Digital Systems Group and Head of the ISR Systems and Technology Division. Mr. Martinez also served in a leadership role as President and Chairman of Mercury Federal Systems.
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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 is also the lead instructor for multiple programs such as the Applied Data Science Program and Machine Learning: From Data to Decisions. He co-founded Celect, Inc, now part of Nike in 2013, to help retailers redesign store layouts by accurately predicting demand using omnichannel data. In 2019, he co-founded IkigaiLabs (ikigailabs.io) – a no-code AI platform where he serves as CTO, with the mission to build self-driving organizations by enabling data-driven operations with human-in-the-loop.
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 six main building blocks to develop transformational AI and ML capabilities.
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1Creating a Strategic Vision and Roadmap
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2Transforming Data into Information
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3Identifying the Right Computing and Infrastructure Frameworks for the Context
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4Applying Algorithms – Turning Information to Knowledge
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5Human-Machine Teaming – Turning the Knowledge into Insights
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6Successful Deployment – ACHIEVING ROBUSTNESS AND TRUSTWORTHINESS, and Addressing Risks
ACTION LEARNING TEAM PROJECTS
The program embodies the MIT motto of “Mens et Manus” – Mind and Hand – the belief that academic knowledge must go hand in hand with practical application, and a very strong commitment to applied learning. You will work on team assignments and projects to apply the learning to a strategic business problem on an on-going basis throughout the program. It is a unique opportunity for collaborative learning and applying the knowledge of technologies, frameworks, and best practices to real-world problems.
KEY MODULES
- AI Background and System Architecture Overview
- AI Strategic Vision and Implementation Roadmap
- Understanding Data, Conditioning, and Preparing Data
- Introduction to Machine Learning and Strategic Applications
- Implementing Machine Learning in a Business – Planning, Monitoring, Evaluating and Constraints
- Predictive Analysis and Decision Systems
- Modern Computing Frameworks
- Human-Machine Teaming
- Building and Deploying Robust AI Capabilities
- Communicating Value and Managing Stakeholders
- Challenges and Future of AI and ML
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.
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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