Deploying AI for Strategic Impact
Discover how to align AI technologies with your business goals, infrastructure, and data strategy to create long-term ROI with this 9-week course from MIT xPRO and MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
Start Date
September 29, 2025
Duration
9 weeks
Price
$3,950
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Start Date
September 29, 2025
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Duration
9 weeks
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Price
$3,950
Start Date
September 29, 2025
Duration
9 weeks
Price
$3,950
STRATEGIC AI FOR REAL ROI
Many organizations want to harness the power of AI—but struggle to move from experimentation to execution. Questions about model selection, compute requirements, data readiness, and ROI stall progress before it begins. Leaders are left wondering: What’s the right approach for us—and how do we know it will deliver value?
Deploying AI for Strategic Impact is designed for professionals navigating these exact challenges. Over nine weeks, you’ll gain the frameworks, language, and confidence to make informed decisions about AI investments, deployment strategies, and business alignment.
Learn directly from 15 MIT faculty members through a mix of video lectures, industry case studies, and hands-on exercises. Explore both the technical realities and strategic implications of AI in your organization.
Whether you're just beginning your AI journey or refining your roadmap, this course will help you lead with clarity—and deliver measurable results.
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AFTER THIS COURSE, YOU WILL
WHO SHOULD ENROLL
Business leaders and executives responsible for driving innovation, digital transformation, or long-term strategy.
Decision-makers evaluating AI investments, infrastructure needs, and data readiness.
Product managers, AI strategists, and technical leads looking to align AI solutions with business goals.
Consultants and transformation specialists helping organizations adopt AI and prepare for workforce impact.
MIT FACULTY
MIT Principal Research Scientist Neil Thompson
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) & MIT Initiative on the Digital Economy (IDE)
MIT Senior Research Scientist Una-May O'Reilly
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
MIT Professor Manolis Kellis
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)The Broad Institute of MIT and Harvard
MIT Principal Research Scientist Andrew McAfee
Co-founder and Co-director, MIT Initiative on the Digital Economy (IDE)
MIT Professor Sinan Aral
Director, MIT Initiative on the Digital Economy (IDE)
MIT Associate Professor Marzyeh Ghassemi
MIT Institute for Medical Engineering & Science (IMES)
MIT Professor Andrew Lo
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) Director, MIT Laboratory for Financial Engineering
Antonio Torralba
Delta Electronics Professor, Electrical Engineering and Computer Science (EECS), MIT; Head of the AI+D faculty, MIT Electrical Engineering and Computer Science (EECS)
MIT Professor Daniela Rus
Director, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
MIT Professor D.Fox Harrell
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) MIT Institute for Data, Systems, and Society (IDSS)Director, MIT Center for Advanced Virtuality
MIT Managing Director Bruce Lawler
MIT Machine Intelligence for Manufacturing and Operations (MIMO)
MIT Professor Polina Golland
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
MIT Professor Regina Barzilay
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)AI Faculty Lead, MIT Jameel Clinic
MIT Research Scientist Renee Richardson Gosline
MIT Initiative on the Digital Economy (IDE)
MIT Professor Wojciech Matusik
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
WHAT LEARNERS ARE SAYING
Professionals around the globe have taken this course to understand AI strategy and are now leading smarter business decisions
Sharply crafted course
Another sharply crafted course from MIT - hitting all the right insights for someone looking to dive deeper into the art and science behind deploying AI systems.
Shobhit Bajaj
Global L&D Strategist, The Boston Consulting Group
The course broke down complex AI concepts into clear, practical steps
Taking the course transformed the way I think about technology and leadership. The course broke down complex AI concepts into clear, practical steps that showed me how to apply AI to real business problems‚ and not just as a buzzword, but as a tool for meaningful change.
Bhanu Sankaran
Technology Director, SVP, Online Banking at Wells Fargo
Well worth every penny
A highly valuable course to help unravel the many dimensions of developing and deploying AI systems for anyone in any industrial sector. Well worth every penny.
Smaine Zeroug
Research Director, Geoscience
This course will help me to better assess and evaluate the feasibility and efficacy of various AI initiatives
I learned a lot about the impact of deploying AI in real world context. The knowledge learnt will help me to better assess and evaluate the feasibility and efficacy of various AI initiatives that I encounter in my professional role.
HY Quek
Chief Data Scientist, Ensign InfoSecurity
What stood out most was the emphasis on responsibility and ethics
The modules taught me how to keep transparency, data privacy, and fairness at the core of every AI project. I now feel confident assessing technical requirements, addressing ethical questions, and making sure AI serves our people and customers honestly.
Bhanu Sankaran
Technology Director, SVP, Online Banking at Wells Fargo
Excellent course for absorbing a broad array of AI implementation benefits
This is an excellent course for absorbing a broad array of AI implementation benefits, risks and mitigation strategies through real world examples.
Erick Gowen
Engineering Manager, General Motors
RESOURCES
Which AI Course is Right for You?
Cut through the hype and understand how to truly build AI fluency in this expert live session the MIT xPRO course team.
Tuesday, August 27, 2024
Overcoming Challenges of AI Deployment
Join MIT’s Neil Thompson as he explores the top challenges organizations face when deploying AI — and learn how the MIT xPRO and CSAIL course Deploying AI for Strategic Impact can help you address them.
Tuesday, September 10, 2024
From Experimentation to Impact: A New Online Course on Strategic AI Deployment
We spoke with MIT's Dr. O'Reilly and Jessica Cervi to learn about how this course provides participants with the frameworks, language, and confidence to make informed decisions about AI deployment within their organization.
THE MIT XPRO LEARNING EXPERIENCE
LEARN BY DOING
LEARN BY DOING
Engage with real-world case studies and interactive exercises to apply AI strategy concepts to business scenarios across industries.
LEARN FROM OTHERS
LEARN FROM OTHERS
Collaborate an international community of professionals facing similar AI deployment challenges and gain insights across sectors.
LEARN ON DEMAND
LEARN ON DEMAND
Access content anytime, anywhere. This fully online, flexible course is designed to fit into your busy professional schedule.
REFLECT AND APPLY
REFLECT AND APPLY
Bridge the gap between theory and practice by connecting course insights to your organization’s AI goals, resources, and infrastructure.
DEMONSTRATE YOUR SUCCESS
DEMONSTRATE YOUR SUCCESS
Earn 4 Continuing Education Units (CEUs) plus a certificate from MIT xPRO that showcases your ability to evaluate, plan, and guide AI deployments for strategic ROI.
LEARN FROM THE BEST
LEARN FROM THE BEST
Gain exclusive access to 15 MIT faculty who are leading thinkers in AI, computing, and innovation—no tech degree required.
JUSTIFY YOUR PROFESSIONAL DEVELOPMENT
