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Generative AI for Business Executives
Learn how to successfully build Generative AI solutions that increase productivity and profitability, and make you stand out in your career.
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Course overview
Amplify your potential with AI
The best guide for leaders to implement Generative AI in their businesses with real results.
What You'll Gain:
Strategic Clarity: Understand the transformative power of generative AI and how it can reshape your industry and business models.
Actionable Insights: Learn how to identify and evaluate high-impact opportunities for implementing generative AI across your organization.
Practical Skills: Develop the skills to lead AI initiatives, make informed technology investments, and mitigate associated risks.
Competitive Edge: Gain the knowledge to leverage generative AI for innovation, efficiency, and growth,positioning your company ahead of the curve.
Confident Leadership: Become a champion for AI adoption, empowering your teams to harness its potential for success.
Key Focus Areas:
* Demystifying Generative AI: Understanding the core concepts, capabilities, and limitations of generative AI technologies.
* Identifying Business Opportunities: Exploring real-world use cases and identifying high-potential areas for implementation within your organization.
* Strategic Planning & Execution: Developing a roadmap for AI adoption, including project selection, resource allocation, and change management strategies.
* Risk Management & Ethical Considerations: Understanding the potential challenges and ethical considerations associated with generative AI and developing strategies to address them.
* Future-proofing Your Business: Staying ahead of the curve by anticipating advancements in generative AI and their implications for your industry.
By the end of this course, you'll be equipped with the knowledge and tools to confidently lead your organization into the era of generative AI.
All sessions will be recorded and made available for you to keep immediately after the course concludes.
Interested in an enterprise license or NGO sponsorship so your team can take the course? Please reach out directly to amplify@ayeshakhanna.com
Who is this course for
01
Senior Leadership (C-Suite and VP Level):
Identify new business opportunities, optimize existing processes, make informed tech investments.
02
Department Heads & Managers: (e.g., Marketing, Sales, Operations, HR, Finance) streamline workflows, boost efficiency, and improve decisions
03
Startup founders & CEOs enhance business, from idea generation to solution building to customer service.
What you’ll get out of this course
How Generative AI is different from existing AI techniques and why it is transformative for businesses
Understand the fundamentals of Generative AI, and how it is being used in different industries to increase productivity and profitability.
How to assess and identify business opportunities to leverage Generative AI.
Identify AI opportunities by understanding your business needs, exploring use cases,evaluating feasibility, starting small ,and fostering AI at scale.
How to use data to build an agile roadmap for a Generative AI project
Create an agile Generative AI roadmap fueled by data, collect information from diverse sources to tailor the Gen AI to your needs, identify priorities, estimate development efforts, and guide iterative development.
How to run a Generative AI project lifecycle including choosing vendors and a team
Get a practical roadmap for executing a Generative AI project, from ideation to deployment and learn how to overcome typical challenges and avoid common pitfalls.
How to choose realistic metrics to track the impact of Generative AI projects.
Focus on business metrics that matter such as efficiency gains (time saved, cost reduction,output increase), quality improvements (accuracy, novelty, customer satisfaction), business outcomes (revenue growth, market share), and user experience (adoption, satisfaction).
How to create an AI governance policy to manage the risks related to AI and data.
Make AI decision-making processes understandable, ensure accountability by assigning clear responsibility for AI actions and outcomes ,and uphold data privacy by securely collecting, storing ,and using data in compliance with relevant regulations.
What’s included
Live sessions
Learn directly from Dr. Ayesha Khanna in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
2 live sessions • 33 lessons
Week 1
1.1 How is Gen AI different from traditional AI?
1.2 How can we get AI to generate text?
1.3 What are key terms in Gen AI?
1.4 What can go wrong when you use GenAI?
1.5 Gen AI for personal productivity vs organisational strategy
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1.1 Why are we talking about Generative AI?
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1.2 How is Gen AI different from traditional AI?
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1.3 How can we get AI to generate text?
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1.4 What are key terms in Gen AI?
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1.5 What can go wrong when you use Gen AI?
2.1 The importance of the business use case for AI
2.2 Business Discovery
2.3 AI maturity assessment
2.4 AI use case prioritization matrix
2.5 Set realistic goals and estimate an Return on Investment (ROI)
2.6 Sample ROI calculation on AI use case
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2.1 Why the business use case for AI is critical
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2.2 Business Discovery
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2.3 AI maturity assessment
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2.4 AI use case prioritization matrix
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2.5 Set realistic goals and estimate an Return on Investment (ROI)
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2.6 Sample ROI calculation on AI use case
1: The Foundation: Data
2: The Platform: Choosing the Right Tools
3: The People: Building Your AI Team
4: Putting It All Together
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3.1 Key features of a Gen AI roadmap
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3.2 Project lifecycle for building a Gen AI solution in-house
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3.3 Common mistakes that happen that make projects fail.
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3.4 Ball park timelines and costs
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3.5 The road from pilot to scale.
May
5
Optional: Course Orientation: Q&A with Dr. Ayesha
1. Introduction to Core Concepts in Generative AI
Understand the basics of Generative AI (Gen AI)
Introduction to Gen AI handout
2. Identifying business use cases for Generative AI
Preparing Great AI Use Cases handout
3. Building a Generative AI Solution
Explore the role of data, platforms, and talent in building your Generative AI solutions.
Handout: Roadmap framework and pro tips on all decisions
Week 2
1: Empathize: Understanding the Problem
2: Define: Setting Clear Objectives
3: Ideate: Generating Creative Solutions
4: Implement: Bringing Your AI Roadmap to Life
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4.1 What is AI Risk Management?
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4.2 AI Risk Management Frameworks
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4.3 Risk Mitigation Techniques Around Hallucinations for Gen AI
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4.4 Risk Mitigation Risks Around Cybersecurity for Gen AI
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4.5 A Note on Model Drift Risk and The Need for Continual Monitoring
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4.6 Navigating the Regulatory Landscape
The Age of Gen AI Applications
Legal
Advertising and Marketing
Healthcare
Education
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5.1 The Age of Gen AI Applications
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5.2 Legal
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5.3 Advertising and Marketing
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5.4 Healthcare
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5.5 Education
1: Emerging Trends in Generative AI
2: Workforce Implications
3: Navigating the Regulatory Landscape
4: Strategies for Staying Ahead
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6.1 Trends in Costs and Scaling
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6.2 AI is coming to the physical world.
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6.3 AI is becoming ambient
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6.4 AI is going to start speaking to other AI
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6.5 AI also poses a new type of risk
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6.6 AI can cross the Digital Divide
4. Risk Management: Managing the Pitfalls of Generative AI
Use a design thinking approach to identify, prototype, and implement Generative AI solutions.
Handout: How to Make Decisions When Making Gen AI Solutions
5. Diving Deep into Industry Use cases
Examine real-world examples of Generative AI applications in different industries.
6. The Future of Generative AI and Your Business
Discuss emerging trends, workforce implications, regulations, and strategies for staying ahead.
Week 3
May
19
Optional: Final Remarks and Q&A with Dr. Ayesha
What students are saying
Meet your instructor
Dr. Ayesha Khanna
Dr. Ayesha Khanna
Dr. Ayesha Khanna is a globally recognized leader in artificial intelligence (AI) and innovation. As the Co-Founder and CEO of Addo AI, she has spearheaded AI solutions for leading companies and governments worldwide. Dr. Khanna's deep expertise in AI and data makes her uniquely qualified to guide you through the transformative power of Generative AI.
In addition to her work at Addo AI, Dr. Khanna serves on the board of Johnson Controls, a global leader in smart building solutions, and previously served on the board of AVEVA, a global industrial software leader. She has also held several positions on Singapore government boards, including the Infocomm Media Development Authority (IMDA) and the Health Promotion Board.
A passionate advocate for ethical and inclusive AI, Dr. Khanna provides scholarships for AI courses to girls through her education company Amplify. Her insights have been featured in Forbes, The New York Times, and numerous global publications.
Ayesha has a BA (honors) in Economics from Harvard University, an MS in Operations Research from Columbia University, and a Ph.D. in Information Systems from the London School of Economics.
You can learn more about Ayesha here
What people are saying
S&P Global
FedEx APAC O&D Summit
Australian Institute of Company Directors
E.ON CS Universe-ity
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Maybank
du Telecom
BMW Welt
Course schedule
3 hours per week
42 Course Lessons
3 Hours/week
You will have access to all lessons once the cohort starts and can view them on your own pace.
Q&A with Dr. Ayesha Khanna
2 sessions, one hour each
- Course Orientation (1h, 1st week)
- Final Remarks and Q&A (1h, 3rd week)
Learning is better with cohorts
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you