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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
- TIME COMMITMENT 4-6 hours per week
- DURATION 9 Weeks
- FORMAT Online
- CEUs 4
- 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.
WHAT YOU WILL LEARN
- Evaluate AI systems and deployment strategies by understanding core components, scaling implications, and cost-performance trade-offs.
- Compare and customize generative AI models using performance benchmarks, application suitability, and deployment formats to drive ROI.
- Plan for compute and infrastructure needs by assessing how modern AI models evolve and how hardware, algorithms, and cost affect your AI investments.
- Turn complex, multi-modal data into insights through representation learning, embeddings, and human-in-the-loop systems for decision-making support.
- Navigate workforce and organizational shifts by applying productivity, automation, and agile deployment frameworks to maximize business value.
- Address ethical and operational risks by identifying bias, privacy concerns, and safety issues—especially in high-stakes domains like healthcare—and applying practical mitigation strategies.
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.
THE MIT xPRO LEARNING EXPERIENCE
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LEARN BY DOING
Engage with real-world case studies and interactive exercises to apply AI strategy concepts to business scenarios across industries.
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LEARN FROM OTHERS
Collaborate an international community of professionals facing similar AI deployment challenges and gain insights across sectors.
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LEARN ON DEMAND
Access content anytime, anywhere. This fully online, flexible course is designed to fit into your busy professional schedule.
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REFLECT AND APPLY
Bridge the gap between theory and practice by connecting course insights to your organization’s AI goals, resources, and infrastructure.
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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.
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LEARN FROM THE BEST
Gain exclusive access to 15 MIT faculty who are leading thinkers in AI, computing, and innovation—no tech degree required.
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 Principle 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 and 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 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, 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)
THE BEST COMPANIES CONNECT WITH THE BEST MINDS AT MIT
Deepen your team’s career knowledge and expand their abilities with MIT xPRO’s online courses for professionals. Develop customized learning for your team with bespoke courses and programs on your schedule. Set a standard of knowledge and skills, leading to effective communication among employees and consistency across the enterprise.
Find out what MIT xPRO can do for your team.
INQUIRE NOW