Product Management in the Age of AI: Training for Corporate Product and Business Teams
Unlock the full potential of AI and stay ahead of the competition
Towards an AI-driven Company
Artificial intelligence (AI) is rapidly changing the business landscape and has the potential to revolutionize industries. However, to fully leverage its potential, it's essential for executives to understand the business side of AI and develop strategies for success. By training your teams about the business side of AI, you can equip them with the knowledge and skills necessary to identify new opportunities, develop innovative solutions, and stay ahead of the competition. Furthermore, a well-trained team will be able to make better use of data, improve decision making, and ultimately drive growth and profitability. By investing in AI strategy training for executives and teams, your company can gain a distinct competitive edge and avoid costly mistakes by having a clear understanding of the technology and its various applications.
Example Topics
✔︎ Business Strategies for AI Adoption
✔︎ Developing a Digital Operating Model
✔︎ AI Product Vision
✔︎ AI Product Strategy
✔︎ AI Product Roadmap
✔︎ Agile AI Product Development Lifecycle
✔︎ AI Product Ideation
✔︎ AI Product Experimentation
✔︎ AI Product Team Building
✔︎ Buy vs Rent tradeoff
✔︎ Silicon Valley Approach in New-Product-Development
Key Benefits
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Improved decision making: By understanding the business side of AI, executives can make more informed decisions and identify new opportunities for growth and profitability.
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Increased innovation: Training in AI strategy can help executives and teams develop innovative solutions and stay ahead of the competition.
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Better use of data: Executives who understand the business side of AI can leverage data more effectively to drive growth and improve performance.
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Competitive advantage: Investing in AI strategy training can give a company a competitive edge in the market.
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Avoiding costly mistakes: Executives who have a clear understanding of the technology and its applications can avoid costly mistakes and optimize the ROI of AI investments.
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Certificate: Earn the official AI Product Institute certificate
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AISPM Self-study program: Get lifetime access to AISPM Self-study program
Who Should Attend?
Any business executive who is responsible for making strategic decisions or leading a team can benefit from an artificial intelligence (AI) strategy training. This includes but not limited to:
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Product Managers: Product managers, directors and executives who are responsible for overall product strategy can benefit from training in AI strategy to identify new opportunities and stay ahead of the competition.
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Operations executives and managers: Operations executives responsible for managing processes and systems can benefit from training in AI strategy to improve performance and optimize resource allocation.
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Sales and marketing executives and managers: Sales and marketing executives who are responsible for driving revenue and customer engagement can benefit from training in AI strategy to develop more effective marketing campaigns and improve sales performance.
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IT executives and managers: IT executives responsible for technology infrastructure and data management can benefit from training in AI strategy to better leverage data and improve performance.
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Product and R&D executives and managers: Product and R&D executives who are responsible for innovation and product development can benefit from training in AI strategy to develop new products and services.
Prerequisites
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Prior experience or training in product management is required
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No experience or knowledge in artificial intelligence is required
Format
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LIVE online classroom
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Interactive discussions
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Small-group exercises
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Real-world assignment
Schedule
The schedule is custom tailored to your and your team's needs.
What our students say
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Some of our Corporate Customers
Custom Training Example 1
Week 1: AI business strategy
Lecture (2 hours)
- Utilizing Geoffrey Moore’s Zone management in AI initiatives
- Utilizing Martin Reeve’s Strategy Palette in AI initiatives
- Utilizing Marco Iansiti’s digital operating model in AI initiatives
Workshop (2 hours)
- Developing AI vision and strategy for your product
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Week 2: AI product frameworks workshop (3 hours)
- Creating the buyer utility map for your product
- Applying Blue Ocean Strategy’s Four action framework to your product idea
- Creating the strategy canvas of your product
Week 3: AI product requirements analysis Q&A (2 hours)
Custom Training Example 2
Silicon Valley insight into AI business strategy, AI operating models and AI product development life cycle.
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Objective:
How do Silicon Valley tech companies sustain profitability with their decade-old products in the AI era and time after time add their horizon 3 incubations as a new line of business? Although there is no single formula to answer this question, the similarities in their strategy and operating model are uncanny for people who gained experience while working in these companies. This custom training program includes proven business frameworks from renowned strategy consultants such as Geoffrey Moore, Martin Reeves, Renée Mauborgne, and Marco Iansiti and combine them with a decade-long experience in Silicon Valley tech giants, to reveal you the "Silicon Valley way” to succeed in your AI solutions.
Section 1: Value innovating in the AI era

How to scale and utilize Blue Ocean Strategy at the product level to provide unprecedented customer value and render the competition irrelevant?
Section 2: Moving AI incubation into Horizon 1

From incubation to productivity and performance organizations, how to utilize Geoffrey Moore’s business strategies that are hardened at Microsoft and Salesforce in the AI era?
Section 3: Creating an AI factory

From AI platforms to AI applications and AI products, how does Marco Iansiti’s digital operating model reflect the operations of Silicon Valley tech giants and how can you utilize his frameworks in your organization?
Section 4: AI product development life cycle

Developing products that utilize AI is fundamentally different from developing rule-based software products using SDLC (software development life cycle). The difference stems from the fact that AI solutions are about “searching” rather than “programming” in the classical sense. This constitutes a paradigm shift in the development lifecycle and most companies that are not aware of this difference are stuck in trying to place a cube into the round hole. However, Silicon Valley tech giants changed their development life cycles a long time ago and any company that produces AI solutions needs to do the same. This section will provide the necessary frameworks to use in your organization to develop AI solutions.
Custom Training Example 3
Week 1 - Lecture
• 1 hour LIVE lecture: Framework to develop a 5-year AI product vision
• Homework project assignment: Develop 5-year AI product vision
Week 2 - Workshop
• 2 hours LIVE workshop: 5-year AI product vision workshop
• Homework project assignment: Finish 5-yearAI product vision
Week 3 - Lecture
• 1 hour LIVE lecture: Framework to develop a 2-year AI product roadmap
• Homework project assignment: Develop 2-year AI product roadmap
Week 4 - Workshop
• 2 hours LIVE workshop: 2-year product AI roadmap workshop
• Homework project assignment: Finish 2-year AI product roadmap
• Homework training assignment: Study AI Solution Product Management - Section 2
Week 5 - Workshop
• 1 hour LIVE workshop: AI product development lifecycle workshop
• Homework project assignment: Integrate AI product development lifecycle
Week 6 - Lecture
• 1 hour LIVE lecture: Framework to develop AI business model and pricing model
• Homework project assignment: Design AI business model and pricing model
Week 7 - Workshop
• 2 hour LIVE lecture: AI business model workshop
• Homework project assignment: Finish AI business model design
By investing in AI strategy training for executives and teams, your company can gain a distinct competitive edge and avoid costly mistakes by having a clear understanding of the technology and its various applications.