ONLINE COURSE
Leadership for the AI Age
Why enroll in this course?
Explore tools such as artificial intelligence, robotics, and IoT, alongside other transformative technologies, to accelerate innovation and enhance strategic decision-making.
Develop strategies for leading digital transformation in various industries to improve operational efficiency and customer engagement.
Assess the impact of future technological innovations on business, the workforce, and society, while crafting frameworks for sustainable adoption.
Interact with MIT experts, instructors, and peers in live synchronous sessions for a more comprehensive learning experience.
Networking opportunities establish professional connections with industry experts and your cohort.
Access to rich supplementary resources provides additional materials and content for a more thorough educational journey.
What will you learn?
Evaluate how technology drives organizational transformation across different industries.
Analyze emerging AI trends and apply the "Gen AI Cost Equation" to identify business scenarios where AI can drive productivity and transformation.
Leverage IoT and digital twins for interconnected business environments.
Identify the capabilities of robots and autonomous systems through exploring case studies of robotic systems.
Examine the culture, skills, and systems needed for digital transformation and design strategies to embed technology into operations.
Analyze shifting customer behaviors and investigate business models that meet evolving demands.
Deepen your expertise in technologies like quantum computing, blockchain, and smart sensors and evaluate their potential for driving innovation.
Develop a strategic roadmap for implementing transformative digital solutions.
All participants who successfully complete a course with MIT Professional Education will receive a Certificate of Completion.
Additionally, participants will receive MIT Continuing Education Units (MIT CEUs)*. To obtain MIT CEUs, complete the accreditation confirmation, which is available at the end of the course. MIT CEUs are calculated for each course based on the number of learning hours.
*The MIT Continuing Education Unit (MIT CEU) is defined as 10 contact hours of ongoing learning to indicate the amount of time devoted to a non-credit/non-degree professional development program.
To understand whether or not these MIT 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.
Course outline
Our Leadership for the AI Age online course, led by distinguished MIT AI Instructors, equips leaders and executives with essential insights and practical tools to navigate today’s dynamic organizational landscapes. Through eight comprehensive modules, participants will explore cutting-edge technologies, including artificial intelligence, robotics, and autonomous systems, gaining the skills needed to foster AI & innovation leadership for transformative organizational impact.
Who is this online course for?
Business Executives and Managers responsible for strategic planning, decision-making, and leading digital initiatives who need to comprehend the impact of technologies like AI, IoT, and robotics on their industries.
Technology Leaders and IT Professionals seeking to bridge the gap between rapidly evolving technologies and business objectives to drive innovation and efficiency.
Change Management and Transformation Leaders tasked with leading organizational change, who require insights into effective strategies for driving digital transformation and cultivating a digitally-ready culture.
Entrepreneurs and Innovators looking to leverage advanced technologies to disrupt markets, improve products or services, and stay ahead of emerging trends.
Consultants and Advisors who provide strategic advice on digital transformation, technology adoption, and organizational change management to clients across various industries.
Mid to Senior-Level Professionals Across Industries, especially those in sectors like healthcare, finance, manufacturing, mining, and others undergoing significant digital disruption and seeking to stay competitive.
Instructor
Senior Lecturer and Principal Research Scientist, MIT Sloan School of Management
Faculty contributors
Director of the MIT Master of Engineering in Advanced Manufacturing and Design. Associate Director, MIT.nano
Professor of the Practice in Data Science and Applied Machine Learning, MIT Sloan School of Management
Didn't find what you were looking for? Schedule a call with one of our Program Advisors or call us at +1 857 7668188.
Register now and boost your professional trajectory.
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