
MasterSeries
Strategic Innovation in the Age of AI
Master strategic innovation in the age of AI by applying a proven 12-step process to solve real-world challenges with purpose and impact.



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Learning Platform
BlendED AI+X Platform
Location
Online
Duration
4 weeks
Upcoming Sessions
Winter 2026

Blade Kotelly
Senior Lecturer, Bernard M. Gordon-MIT Engineering Leadership Program
His research focuses on design thinking, user experience, and innovation. He has consulted for Bose, CPI International, Whirlpool, Lufthansa, The D.C. Department of Homeland Security and Emergency Management, and others.
Instructor
Outcomes
Visualize strategy using boundary maps and outcome grids
Map and manage uncertainty with decision frameworks
Identify unmet needs using stakeholder-centered analysis
Distinguish between invention and innovation in strategy
Apply a 12-step innovation process to real-world challenges
You Will Get
Live Interactive Sessions
Select private cohort SPOCs have the opportunity to meet and interact with the professors who guide the SPOC video content in special one-hour seminars.

AI+X Certificate of Completion
Receive a certificate issued by BlendED's AI+X Programs upon completing the MasterSeries. It records the modules you completed and the work you submitted.

Modules
Module 1
Foundations of Innovation in the Age of AI
Learners will learn the fundamentals of innovation, including how it differs from invention and why structured approaches matter in AI-era complexity.
Key takeaways on strategic innovation and systems thinking
Introduction to the 12-step innovation process
Diagnosing innovation failure points in modern organizations
Framing innovation challenges beyond technology (purpose, process, people)
Reflection prompt on past experiences with innovation/invention
Module 2
Finding Opportunities and Reducing Risk
Learners will explore methods for identifying unmet needs, mapping stakeholders, and de-risking early-stage ideas.
Key takeaways on stakeholder mapping and risk frameworks
Using boundary maps and outcome grids to visualize innovation spaces
Techniques for identifying high-leverage opportunity areas
Approaches to early prototyping and iterative learning
Graded quiz to reinforce frameworks and risk reduction
Module 3
Designing for Ethics, Inclusion, and Impact
Learners will learn how to integrate ethical thinking, inclusive design, and usability principles into innovation processes.
Key takeaways on ethics in AI innovation
Understanding and mitigating algorithmic bias
Designing for usability, inclusion, and unintended consequences
Case examples of innovation failure due to ethical blind spots
Reflection prompt on responsible AI and values-based design
Module 4
Communicating and Leading Innovation
Learners will synthesize their learning into persuasive communication strategies and prepare to lead innovation in AI+X teams.
Key takeaways on storytelling and influence in innovation
Techniques for persuasive, visual, and data-driven communication
Developing and presenting a concept pitch or synthesis essay
Framing narratives that align technical innovation with human impact
Optional final submission: innovation concept pitch or leadership reflection
From Our Students
"The course allowed me to put new knowledge into practice immediately through assignments, which deepened my understanding. The professors offered valuable insights and broadened my perspective, making the learning journey truly enriching."

Anderson W.
Peking University
College of Engineering

FAQs
Can I use the assistance of generative AI in my course?
No, unlike our policies for PBLs, using LLMs like ChatGPT, Gemini, or Claude AI for MasterSeries assignments is strictly prohibited. Violations may result in severe consequences, including a failing grade, losing your certificate, or being banned from future courses.
What are the course and assignment deadlines?
Your MasterSeries platform will have a timeline that shows when assignments are due. Many MasterSeries require all assignments to be submitted by the course end date, however this is not true across the board. Deadlines are strict, and late submissions are not accepted, however some courses allow dropping your lowest scores to accommodate missed assignments. Check your specific course policy for details.
Will I have access to the course material after the course ends?
Yes, you’ll have indefinite access to archived course materials after the program concludes. However, live support (instructors and forums) is available for only 30 days post-course. Downloadable materials remain accessible forever.
In what language are courses taught?
All courses are conducted in English.
Are courses live or pre-recorded?
Courses are pre-recorded for flexibility, allowing you to access materials anytime.
What time zone are deadlines listed in?
Deadlines are in UTC. Use this time converter to match it with your local time.
What are the technical requirements for the course?
For the best experience, using the latest versions of Chrome or Firefox is recommended. Mobile access is limited, so completing the course on a laptop or desktop is recommended.
Are video captions available?
Yes, all videos have captions and downloadable transcripts for easier study and review.