AI Powered Product Management
6 March, 2024 – Hilversum, The Netherlands
Discover how to boost the value of your product by leveraging the power of Artificial Intelligence (AI). In two days, you will become comfortable with the black box that is AI and learn how to extract value from data by enhancing your collaboration with Data (Science) or Analytics teams in your organization that build AI. You return to the office with a new powerful tool in your Product Management toolbox.
Looking to upskill your team(s) or organization?
Nico will gladly help you further with custom training solutions.
Nico de Jonge
Training Advisor
Duration
2 days
Time
09:00 – 17:00
Language
English
Lunch
Included
Certification
No
Level
Professional
What will you learn?
You are involved with building great products for your customers. You may have heard the buzz around AI concepts, such as Machine Learning, Neural Networks, Deep Learning or Large Language Models. You wonder how to leverage these AI concepts to boost the value of your product for your customers.
In this course, you will discover how to boost the value of your product by leveraging the power of AI and collaborate with Data (Science) or Analytics teams to get the value shipped to customers. There are no prerequisites other than some experience in any role related to Product Management, such as Product Manager, Product Owner, Scrum Master, Developer, Agile Coach/Consultant, RTE or Head of Product.
Key takeaways
- Demystify what all these AI concepts, such as Machine Learning, Neural Networks, Deep Learning and Large Language Models, mean and how they relate to each other.
- Learn what kind of use cases AI can unlock and how these can increase the value of your product.
- Learn how to effectively collaborate with Data (Science) or Analytics teams and integrate their work into your product to boost value.
Program
This training takes two days. On the first day we will focus on demystifying the concept of AI and learn how ‘the AI sausage’ is made in Data (Science) or Analytics teams.
On day two we will shift focus to achieving effective collaboration with the teams that create the AI and learn how to best integrate their work to boost the value of your product.
During these two days we will continuously switch between theory, practical examples, and useful exercises so that you will increase your understanding as well as bring a useful starting point back to the office.
- Understand the need for boosting the value of your product with AI
- What is value? Learn how you measure it, and when it is generated
- Get familiar with how the ‘AI sausage’ is made with Data Science
- Understand why and how Product Management and Data Science fit well together
- Learn how you can bring AI to life in your product by integrating with Data (Science) or Analytics teams
Who is it for?
Professionals involved in Product Management at medium to large companies that could benefit from collaborating with already existing (centralized or departmental) Data (Science) or Analytics teams.
Requirements
Some experience with Product Management is beneficial.
Why should I do this training?
Expand your toolbox
Discover and become skilled with a new powerful tool in the Product Management toolbox that can boost the value of your product: Artificial Intelligence
Boost your product’s value
Ensure you will be able to exceed or even just meet AI powered feature expectations of your customers
Increase your competitive edge
Stay ahead of the competition, that is rapidly discovering the potential of AI
What does it look like?
What else
should I know?
After registration for this training, you will receive a confirmation email with practical information. A week before the training, we will ask you about any dietary requirements.
See you soon!
A delicious lunch is included as well as snacks.
Training will consist of a healthy mix of theory, examples and exercises
Travel and accommodation expenses are not included.
Meet the trainer
Rutger de Wijs
Rutger is een Product Management consultant bij Xebia en helpt product teams om beter en sneller producten te ontwikkelen.
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