Question 1

Peer-to-Peer Interaction

Accepted Answer

Experience a collaborative classroom setting by connecting with peers and engaging with mentors in real time via Slack.

Question 2

Flexible Learning

Accepted Answer

Missed a session? Stay on track with access to class recordings and continue learning alongside your cohort.

Question 3

Mentorship Sessions

Accepted Answer

Receive expert guidance for doubt resolution, project support, and deeper learning through mentor-led sessions

Question 4

Dedicated Learning Support

Accepted Answer

Benefit from a Cohort Manager who assists with queries and ensures steady progress throughout your learning journey.

Question 5

What is the Generative AI Applications for Leaders program?

Accepted Answer

This program prepares professionals to apply AI-powered solutions across business operations. With 55+ hours of live instruction, hands-on projects, and real-world tools, learners build practical experience in boosting efficiency, driving innovation, and scaling impact through Generative AI.

Question 6

Who Is the Ideal Candidate for This Business Transformation Program?

Accepted Answer

This program is designed for professionals aiming to harness generative AI to accelerate business transformation, boost innovation, and improve efficiency. Whether you are leading an organization, managing strategic initiatives, or driving technology adoption, this program equips you with the skills to leverage AI effectively.

Target Professional Roles

Business Leaders and C-suite Executives

Senior Managers and Functional Heads

Technology Leaders and Consultants

Entrepreneurs driving innovation

Experience Prerequisite

A minimum of 5 years of professional experience is preferred, enabling participants to better contextualize the program’s strategic applications of AI.

Mindset Requirement

Participants should demonstrate a strong eagerness to apply Generative AI to real-world business problems and the ambition to lead AI-driven change within their organizations.

Industry Background

Current cohorts include professionals from IT, software, manufacturing, pharma & healthcare, and BFSI, showcasing the program’s relevance across industries.

Question 7

How Is This Program Different from Other Online AI Courses or MOOCs?

Accepted Answer

Unlike typical self-paced courses, this program offers a university-backed, interactive learning model with over 55 hours of live sessions led by industry experts. Learners benefit from real-time engagement, dedicated mentorship, and peer collaboration, ensuring higher completion and deeper understanding. The curriculum emphasizes business-focused, applied AI use cases—not just technical skills—while providing a University co-branded certificate, adding credibility and long-term career value.

Question 8

How Qualified Are the Trainers?

Accepted Answer

The program is led by industry experts and seasoned professionals from the fields of data and AI, ensuring that participants gain both real-world insights and practical, hands-on knowledge. Each instructor undergoes a rigorous selection process, including profile assessment, technical evaluation, and a live training demonstration, to guarantee high-quality instruction.

Question 9

What Specific AI Tools and Platforms Will I Learn to Use?

Accepted Answer

This program offers hands-on experience with 16+ leading AI tools and platforms to ensure practical, real-world application.

Core Generative AI Models & APIs: ChatGPT, OpenAI API, and Hugging Face.

Automation & Content Creation: Zapier, Invideo.ai, Figma, and MIRO.

Data & Development Tools: Julius.ai, MOSTLYAI, Visual Studio Code, Microsoft PowerApps, and Google Cloud.

Microsoft Ecosystem: In-depth training with Microsoft Copilot to optimize sales, IT, HR, finance, and operations.

Question 10

I Don’t Have a Programming Background. Can I Still Lead AI Projects?

Accepted Answer

Yes. Leading AI projects is less about coding and more about strategy, use cases, and ethical implementation. This program is built for business and technology leaders, not just programmers.

No coding prerequisite—eligibility emphasizes work experience and strategic thinking.

Curriculum focus—AI literacy, business applications, and deployment strategies.

Hands-on learning—practical training with low-code and no-code platforms to make AI accessible to non-programmers.

Question 11

What added value does University of Michigan contribute to the program?

Accepted Answer

The program curriculum is reviewed and approved by Michigan Engineering Professional Education, Please be aware that the live classes are not held by actual University faculty staff but by many experienced Industry experts. While the instructors themselves are not employees of the University of Michigan. Beyond content approval, Michigan Engineering Professional Education also oversees instructor evaluation, quality assurance, learner satisfaction, and overall program outcomes which gives the program quality legitimacy and a co-branded certificate of completion.

Question 12

How is the program delivered?

Accepted Answer

The course is delivered entirely online through live virtual classes, offering an 80:20 blend of experiential training and theoretical learning. You'll engage in hands-on projects, case studies, and interactive sessions led by industry experts

Question 13

How is the class schedule looks like? Is there recordings?

Accepted Answer

Please ask us for detailed schedule! The course typically spans about 12 weeks with an estimated 5–6 hours of weekly weekend live sessions with a variety of schedule. In between courses, there will be a lot of hands-on project to complete. Please email us to get the details of the schedule of the program. If you miss a class, you can always watch the recording.

NOTE:

Attendance cannot be marked by simply watching the session recordings. Attendance is recorded only when a learner joins the live session. Since these are university-affiliated programs, the criteria are more stringent, as they are set by the universities themselves. However recordings will be available . Learners can view the specific certificate criteria for each course directly on their LMS

Question 14

Can I work full-time while enrolled in this Program?

Accepted Answer

Yes, you can! The program schedule is designed to help busy professionals with full-time work. You can attend live instructor-led sessions which are mostly held on weekends at the designated time according to your schedule and then complete assignments/projects during your free time.

Question 15

Can I change my cohort after enrolling in the program?

Accepted Answer

Yes. You’re entitled to one free cohort change within the first 60 days of enrollment. If you’re unable to continue with your current cohort after using this option, you may request an additional transfer for a fee. For guidance on the process or assistance with your request, please reach out to our support team.

Question 16

What Does a Generative AI Engineer Do?

Accepted Answer

A Generative AI Engineer plays a pivotal role in shaping AI-driven business transformation. They design and implement algorithms for generative models using advanced deep learning techniques, fine-tuning them for accuracy, scalability, and performance. Beyond the technical scope, these professionals collaborate with cross-functional teams to integrate AI into real-world workflows, streamline operations, and unlock new opportunities for growth.

Equipped with expertise from a business transformation training program, they also ensure ethical AI deployment, stay current with emerging tools and frameworks, and effectively translate complex technical concepts for non-technical stakeholders—bridging the gap between innovation and business impact.

Question 17

How Can Generative AI Be Leveraged in an Organization’s Digital Transformation Strategy?

Accepted Answer

Generative AI can be a powerful catalyst in an organization’s digital transformation journey. By integrating advanced generative AI models and systems into core business functions, organizations can streamline operations, optimize supply chains, and create new business models that drive growth.

Beyond efficiency, generative AI enables innovation at scale, from personalized customer experiences to predictive analytics that inform smarter decision-making. When embedded into a broader transformation strategy, generative AI becomes a key enabler of sustainable competitiveness, agility, and long-term success in a rapidly evolving digital economy.

Question 18

For a Business Leader, What’s the Difference Between Regular AI and Generative AI?

Accepted Answer

The main difference lies in analysis vs. creation. Regular AI analyzes past data to make predictions or classifications, while Generative AI creates new content, ideas, and solutions.

Regular AI: Analytical—used for forecasting, trend detection, and classification.

Generative AI: Creative—used to produce marketing content, product designs, prototypes, or automated workflows.

Generative AI isn’t a passing trend—it marks a fundamental shift in how businesses operate. By transforming decision-making, innovation, and scalability, it is set to have a lasting impact on the global economy. This program is designed on the principle that AI integration is now a strategic imperative for long-term growth.

Question 19

What Are the Biggest Risks of Ignoring Generative AI?

Accepted Answer

Companies that fail to adopt Generative AI risk losing competitiveness, efficiency, and market relevance as AI-first organizations pull ahead.

Key risks include:

Operational inefficiency compared to competitors automating sales, marketing, and customer service.

Slower innovation cycles in R&D and product development.

Less accurate decision-making without AI-powered data analytics.

Weaker customer engagement due to limited personalization and outdated campaigns.

Talent challenges, as top professionals gravitate toward AI-driven organizations.

Question 20

What’s More Important for AI Success: Technology or Business Strategy?

Accepted Answer

While advanced technology matters, a clear business strategy is the true driver of AI success. Without defined goals, ROI metrics, and ethical guidelines, even the best tools can fail. This program takes a strategy-first approach, starting with AI literacy before exploring technologies. You’ll learn how to:

Integrate AI across business functions for smarter decision-making.

Optimize areas like sales, marketing, and operations.

Ensure responsible deployment with a focus on economics and ethics.

Question 21

How Do You Measure the ROI of a Generative AI Project?

Accepted Answer

ROI is measured by comparing financial gains—such as revenue growth, cost savings from automation, and efficiency improvements—against the total costs of implementation, including software, development, and maintenance. In this program’s Ethics and Economics of Generative AI module, you’ll learn a structured framework to:

Assess initial and ongoing costs.

Quantify financial benefits from AI adoption.

Evaluate trade-offs to ensure sustainable ROI.

Question 22

Making a purchase

Accepted Answer

Please refer to our general frequently asked question for everything regarding payment, purchase term, and conditions.

Question 23

Generative AI Applications for Leaders Bootcamp

About the Program

Key Features

Learning Outcomes

13+ Skills Covered

About University of Michigan

An Engaging Learning Journey

Learning Path

Who Should Enroll in this Program?

Prerequisites

Statements

Frequently Asked Question

Program details

Course format

Career

Payment and others