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AI for product management

AI Product Management: Mastering the Future

AI Product Management: Mastering the Future

The new tools that Product Managers need to master as to not get left behind have arrived. By understanding and implementing AI in your Product processes you will gain efficiency in your role, master the new technologies driving success in companies and lead your team better.

The new tools that Product Managers need to master as to not get left behind have arrived. By understanding and implementing AI in your Product processes you will gain efficiency in your role, master the new technologies driving success in companies and lead your team better.

The new tools that Product Managers need to master as to not get left behind have arrived. By understanding and implementing AI in your Product processes you will gain efficiency in your role, master the new technologies driving success in companies and lead your team better.

Taught by leaders from

What you'll learn

What you'll learn

Master and Build the AI-Powered Products

You will gain a solid understanding of AI concepts, including its subfields, historical development, and real-world applications across industries. You'll will also explore ethical considerations in AI and the role of product managers in the AI product lifecycle.


Transform Ideas into Intelligent Products


Through hands-on assignments and case studies, you will learn to identify AI opportunities, define product requirements, foster collaboration between product and AI teams, and develop AI prototypes. You'll also dive into the importance of user feedback and model testing in product development.


Data Alchemy and AI Model Mastery


We will equip you with the essential knowledge to handle data, select and train machine learning models, and continuously monitor and improve AI product performance. You'll also understand about scaling AI products and infrastructure.


Strategically Lead the Future of Product Management


Explore AI product launch strategies, user feedback analysis, and effective scaling approaches. You will gain insights into the future of AI in product management and collaborate on a comprehensive AI-enhanced product proposal, culminating in a holistic understanding of AI's role in modern product management practices.

Master and Build the AI-Powered Products

You will gain a solid understanding of AI concepts, including its subfields, historical development, and real-world applications across industries. You'll will also explore ethical considerations in AI and the role of product managers in the AI product lifecycle.


Transform Ideas into Intelligent Products


Through hands-on assignments and case studies, you will learn to identify AI opportunities, define product requirements, foster collaboration between product and AI teams, and develop AI prototypes. You'll also dive into the importance of user feedback and model testing in product development.


Data Alchemy and AI Model Mastery


We will equip you with the essential knowledge to handle data, select and train machine learning models, and continuously monitor and improve AI product performance. You'll also understand about scaling AI products and infrastructure.


Strategically Lead the Future of Product Management


Explore AI product launch strategies, user feedback analysis, and effective scaling approaches. You will gain insights into the future of AI in product management and collaborate on a comprehensive AI-enhanced product proposal, culminating in a holistic understanding of AI's role in modern product management practices.

Master and Build the AI-Powered Products

You will gain a solid understanding of AI concepts, including its subfields, historical development, and real-world applications across industries. You'll will also explore ethical considerations in AI and the role of product managers in the AI product lifecycle.


Transform Ideas into Intelligent Products


Through hands-on assignments and case studies, you will learn to identify AI opportunities, define product requirements, foster collaboration between product and AI teams, and develop AI prototypes. You'll also dive into the importance of user feedback and model testing in product development.


Data Alchemy and AI Model Mastery


We will equip you with the essential knowledge to handle data, select and train machine learning models, and continuously monitor and improve AI product performance. You'll also understand about scaling AI products and infrastructure.


Strategically Lead the Future of Product Management


Explore AI product launch strategies, user feedback analysis, and effective scaling approaches. You will gain insights into the future of AI in product management and collaborate on a comprehensive AI-enhanced product proposal, culminating in a holistic understanding of AI's role in modern product management practices.

What you'll get

What you'll get

Templates

Don't reinvent the wheel. Access our exclusive templates and frameworks.

Case Studies

Dive deeper into real examples that put your learning into context

Assignments

Put your learnings into practice through hands-on exercises.

"It's simpler than Reforge, as the concepts are easier to apply directly and immediately to my team. "

Shilpa Mohanty
Associate Director, Product Management at Toast

The Course Curriculum

The Course Curriculum

  • 26 in-depth video lessons

  • 4 weeks of training

  • Taught by John Haggerty & Rami Alhamad

  • Certificate of completion

  • 26 in-depth video lessons

  • 4 weeks of training

  • Taught by John Haggerty & Rami Alhamad

  • Certificate of completion

Introduction to AI and Its Relevance in Product Management

The goal of this module is to cultivate strategic AI thinking, enabling you to adeptly identify and articulate how AI can elevate product offerings in meaningful ways. This module emphasizes the integration of technical knowledge, customer understanding, and business acumen, which are crucial for modern product managers operating in the AI era.

Introduction to AI and Its Relevance in Product Management

The goal of this module is to cultivate strategic AI thinking, enabling you to adeptly identify and articulate how AI can elevate product offerings in meaningful ways. This module emphasizes the integration of technical knowledge, customer understanding, and business acumen, which are crucial for modern product managers operating in the AI era.

Week 2

AI Integration in Product Development

Solidify your theoretical understanding of AI product management while equipping yourself with practical skills necessary for real-world AI integration in product development. By focusing on requirements elicitation, collaboration, prototype development, and testing, this module ensures that you are well-prepared to navigate the complexities of AI product development in a collaborative and effective manner.

AI Integration in Product Development

Solidify your theoretical understanding of AI product management while equipping yourself with practical skills necessary for real-world AI integration in product development. By focusing on requirements elicitation, collaboration, prototype development, and testing, this module ensures that you are well-prepared to navigate the complexities of AI product development in a collaborative and effective manner.

Week 3

Data, Models, and Optimization

Gain a deep, practical and holistic understanding of the machine learning model lifecycle, from data handling and model training to optimization and evaluation. This practical knowledge will prepare you for the challenges they may encounter as you use AI in your product management role.

Data, Models, and Optimization

Gain a deep, practical and holistic understanding of the machine learning model lifecycle, from data handling and model training to optimization and evaluation. This practical knowledge will prepare you for the challenges they may encounter as you use AI in your product management role.

Week 4

AI Product Launch, User Engagement, and Future Considerations

Learn essential and successful AI product launch strategies, from planning to execution. Dive into user engagement, with a focus on onboarding for new AI features and iterative improvements based on user feedback. Learn how to scale AI products effectively, managing infrastructure challenges while maintaining product quality.

AI Product Launch, User Engagement, and Future Considerations

Learn essential and successful AI product launch strategies, from planning to execution. Dive into user engagement, with a focus on onboarding for new AI features and iterative improvements based on user feedback. Learn how to scale AI products effectively, managing infrastructure challenges while maintaining product quality.

What our students have to say

What our students have to say

The course has been brilliant. Every topic covered feels considered and deliberate - nothing is taught just for the sake of it. I've been implementing everything I've been learning in my daily work and with my team, and it's been a great motivation to put those practices in place. I can already see the positive impact this course has had.

Lara Mason

Product Lead at Isla

It's great to collaborate with others on the course to really bring the theory back to reality. The weekly mentor sessions are awesome!

Andy Clark

Senior Product Manager at Benefex

The experience has been great. The course materials cover all the elements of Product leadership, it offers templates and practicals to cement understanding and Ben and the team clearly articulate lots of key elements that I often do subconsciously, which has help to build my awareness and self confidence. The opportunity to quiz the authors of the course is really, really useful for my learning.

Neil Robert

VP Product at notonthehighstreet.com

The course is excellent. The videos have contained so much great information, the assignments have been challenging (in a good way) and the mentor sessions have been so helpful.

Shivan Persad

VP of Product at RelPro

It's simpler than Reforge, as the concepts are easier to apply directly and immediately to my team. I'm already getting feedback from my PMs that things are clearer as I apply concepts; they are contributing a lot more, more energized and feeling more gung ho about the problems being tackled.

Shilpa Mohanty

Associate Director, Product Management at Toast

I joined the course to define my company's product vision & strategy, and set up our 2024 KPIs. Also to learn more about prioritization and get general product strategy advice from industry experts.

Mairin Jerse

Director of Product at Page Vault

Learn from the most qualified product leaders in the industry

Learn from the most qualified product leaders in the industry

Rami Alhamad

Rami Alhamad is a startup founder and product strategy advisor with a passion for being on the cutting-edge of technology. He was formerly the VP of Product at WHOOP, after the successful acquisition of PUSH, a wearables sport-tech startup that he founded in 2013. PUSH served over 150 professional sports organizations, including teams such as the San Francisco 49ers, Chelsea FC, US Olympic Teams, and Tokyo Giants.

Rami Alhamad

Rami Alhamad is a startup founder and product strategy advisor with a passion for being on the cutting-edge of technology. He was formerly the VP of Product at WHOOP, after the successful acquisition of PUSH, a wearables sport-tech startup that he founded in 2013. PUSH served over 150 professional sports organizations, including teams such as the San Francisco 49ers, Chelsea FC, US Olympic Teams, and Tokyo Giants.

Rami Alhamad

Rami Alhamad is a startup founder and product strategy advisor with a passion for being on the cutting-edge of technology. He was formerly the VP of Product at WHOOP, after the successful acquisition of PUSH, a wearables sport-tech startup that he founded in 2013. PUSH served over 150 professional sports organizations, including teams such as the San Francisco 49ers, Chelsea FC, US Olympic Teams, and Tokyo Giants.

John Haggerty

John Haggerty is an industry-leading product management and strategy expert, boasting an impressive career across the property tech, financial tech, and marketing tech sectors. With significant contributions to transformative innovations at companies like Highway.ai, ListReports, Prodege, and Datasite, his dedication to customer-centric approaches and expertise in Agile and Lean methodologies have cemented his reputation. With almost 20 years in the industry, John is a respected figure and influential thought leader in the tech space.

John Haggerty

John Haggerty is an industry-leading product management and strategy expert, boasting an impressive career across the property tech, financial tech, and marketing tech sectors. With significant contributions to transformative innovations at companies like Highway.ai, ListReports, Prodege, and Datasite, his dedication to customer-centric approaches and expertise in Agile and Lean methodologies have cemented his reputation. With almost 20 years in the industry, John is a respected figure and influential thought leader in the tech space.

John Haggerty

John Haggerty is an industry-leading product management and strategy expert, boasting an impressive career across the property tech, financial tech, and marketing tech sectors. With significant contributions to transformative innovations at companies like Highway.ai, ListReports, Prodege, and Datasite, his dedication to customer-centric approaches and expertise in Agile and Lean methodologies have cemented his reputation. With almost 20 years in the industry, John is a respected figure and influential thought leader in the tech space.

Available On-demand

Available On-demand

Limited Spots Available

Limited Spots Available

The amount of time dedicated to coursework will vary, but we estimate that you’ll spend around 3-4 hours a week to work through all the coursework including videos, activities, and assignments. This course was designed to be flexible so you can still work around your schedule while also gaining real-world, sought-after skills.

The amount of time dedicated to coursework will vary, but we estimate that you’ll spend around 3-4 hours a week to work through all the coursework including videos, activities, and assignments. This course was designed to be flexible so you can still work around your schedule while also gaining real-world, sought-after skills.

On Demand

On Demand

Length

4 Weeks

Cost

$299

On Demand

Length

4 Weeks

Cost

$299

On Demand

Length

4 Weeks

Cost

$299

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