Agentic AI for Organizational Transformation
Leverage AI Agents to Elevate Efficiency and Innovate Models
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MIT CEU’s
This course is part of our Professional Certificate Program in Digital Transformation in the AI Age and Blended Professional Certificate: Chief Digital Officer
The relevance of Artificial Intelligence Today
Artificial Intelligence is no longer optional – it’s foundational to how modern organizations operate, compete, and innovate. According to McKinsey, Generative AI alone could add up to $4.4 trillion annually to the global economy — but only for organizations that know how to implement it effectively.
From content generation to autonomous decision-making, AI is transforming everything from customer experience to strategic planning. Yet many leaders still struggle to bridge the gap between awareness and action.
59%
59% of hiring managers say the rise of AI will have a substantial or transformational impact on the types of skills their companies need.
Source: Salesforce
71%
71% of organizations regularly use generative AI in at least one business function.
Source: Hostinger
77%
77% of executives agree that AI agents will reshape how digital systems are built, and believe digital ecosystems must be designed for agents as much as humans.
Source: Accenture
An online course that empowers leaders to master the impact of Generative and Agentic AI
The online course Agentic AI for Organizational Transformation by MIT Professional Education is designed to equip decision-makers with the tools, frameworks, and confidence to lead this shift.
Agentic AI
Generative AI
AI-Integrated Strategies
AI Ethics
In just eight weeks, participants will gain an understanding of how Generative and Agentic AI are reshaping industries, and how to integrate these technologies into your organization’s strategy, operations, and governance.
The skills abilities that you will develop:
1.
Understand the foundations of Generative and Agentic AI
– how they work, how they differ, and how they apply to real organizational functions
2.
Design AI-integrated strategies
using cloud infrastructure, APIs, and enterprise platforms to deliver real-world impact.
3.
Build practical skills through hands-on mini-projects,
including text, image, audio, or video generation with no prior coding required.
4.
Address the risks and responsibilities of AI,
from deepfakes and misinformation to legal compliance and ethical governance.
5.
Gain the ability to bridge the gap between AI and business
outcomes without a technical background.
6.
Acquire practical knowledge of AI ethics and regulation
to effectively navigate the complex ethical and legal challenges of AI in business.
In addition, you will receive a Certificate of Completion
All the participants who successfully complete the online course Agentic AI for Organizational Transformation will receive an MIT Professional Education Certificate of Completion. Furthermore, participants will receive * MIT Continuing Education Units (CEUs)*.
To obtain CEUs, complete the accreditation confirmation, which is available at the end of the course. CEUs are calculated for each course based on the number of learning hours.
* The Continuing Education Unit (CEU) is defined as 10 contact hours of ongoing learning to indicate the amount of time they have devoted to a non-credit/non-degree professional development program.
To understand whether or not these CEUs may be applied toward professional certification, licensing requirements, or other required training or continuing education hours, please consult your training department or licensing authority directly.
This course is directed toward:
- C-suite executives (CEOs, CIOs, CTOs, CMOs, COOs) aiming to make informed decisions about AI strategy and integration
- Business leaders and function heads driving digital innovation in operations, marketing, product, or strategy
- Managers and team leads modernizing workflows and aligning cross-functional teams with emerging technologies
- Technical professionals moving into leadership roles in digital transformation or innovation
- Consultants and advisors supporting clients through AI-driven change and adoption planning
This online course is designed for decision-makers who understand the urgency of AI and want to lead its adoption effectively across their organizations. Whether you’re shaping digital strategy, managing transformation initiatives, or advising others on innovation, this course gives you the frameworks to turn AI into actionable outcomes.
Meet the instructors of this course
Listed in alphabetical order
DR. ABEL SANCHEZ
Executive Director of the MIT Geospatial Data Center
“We cannot think in terms of either/or when it comes to human intelligence versus artificial intelligence. We must achieve a fusion of both.’’
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Dr. Sanchez is the architect of the global network “The Internet of Things” and data analysis platforms for SAP, Ford, Johnson & Johnson, Accenture, Shell, Exxon Mobil and Altria. In cyber security, he has developed cyber-attack impact analyses for the U.S. Department of Defense and a password firewall for the IARPA.
Dr. Sanchez holds a Ph.D. from the Massachusetts Institute of Technology (MIT) and teaches MIT courses in cyber security, engineering, blockchain, and data science. He has been involved in developing educational software for Microsoft and establishing the Accenture Technology Academy. He has produced over 150 educational videos, has 10 years of experience with learning management systems, and has made deployments in the Americas, Asia, and Europe.
PROF. JOHN R. WILLIAMS
Director of the MIT Geospatial Data Center
“There is not one technology that dominates the current landscape, all of them complement each other to provide data and lead change in companies”.
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Professor John R. Williams’ research focuses on the development and application of computing algorithms in distributed cyberphysical systems. He was director of the Auto-ID Laboratory, where the Internet of Things was invented. He is considered, along with Bill Gates and Larry Ellison, one of the 50 most powerful people in “Computer Networks”.
He is author and coauthor of more than 250 articles in journals and conferences. Professor Williams teaches courses on the basics of programming, modern software development, the architecture of web, cloud and the blockchain systems.
Discover the experience of our participants
ALENA SLETTEN
Senior Director of Delivery Management, EPAM Systems
In a modern world it’s difficult to stay on the top of all of the latest trends, understand the idea behind them and their practical applications. This course helped me to systematize my knowledge, covered the gaps that I had and allowed me to look at things from different angle.
Digital Transformation: From AI and IoT to Cloud, Blockchain, and Cybersecurity
