LIVE ONLINE
Driving Digital Transformation for Competitive Advantage
Immerse yourself in interactive sessions and meaningful conversations led by MIT experts.
Elevate your understanding through insightful one-hour Q&A sessions after each live session.
Access a trove of additional content and resources, offering a comprehensive learning experience.
like AI, robotics, and IoT on business models and organizational change.
to improve operational efficiency and customer engagement.
on business, the workforce, and society, while crafting frameworks for sustainable adoption.
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 threads 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.
Led by MIT experts, this live online course equips you with the essential tools to thrive in today’s evolving business landscape. In eight sessions, you’ll explore the transformative potential of technologies like AI, robotics, and autonomous devices across industries. Through proven frameworks and insights from global executive experiences, you’ll learn to lead digital transformation confidently. By course completion, you’ll be ready to position your organization for success in a digital future.
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 Leader 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.
Senior Lecturer in the MIT Sloan School of Management and Principal Research Scientist, Workforce Learning in the MIT Office of Open Learning
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
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