Free AI Product Course on AI Powered Product Roadmaping
Discover the power of AI in product roadmapping with our free course. Unlock innovative strategies and leverage AI for product success. Enroll now!
Before you ask, we do give certificates!
Get certified upon course completion and supercharge your career journey.
Learning Objectives
1. Enhancing Product Roadmapping with AI
Exploring the benefits and limitations of using artificial intelligence for strategic product roadmapping in software development companies.
2. Balancing Data-Driven Decisions with Human Judgment
Teaching product managers how to combine the analytical power of AI with human intuition to create effective product roadmaps.
3. Addressing Biases and Limitations in AI Roadmapping
Understanding the potential biases and shortcomings of AI models in product roadmapping, and the importance of human oversight in decision-making.
4. Cultivating a Collaborative Approach to Roadmapping
Encouraging teamwork between AI systems and product management experts to leverage data insights and optimize feature prioritization in product roadmaps.
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Who's it for
Product Managers
Founders
Data Scientists
Innovation Strategists
Engineering Leads
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What will I learn
Chapter 1
Introduction to AI-driven Roadmapping
Importance of product roadmaps for companies Rising popularity of AI-driven roadmapping Cautionary note on over-reliance on AI for strategic decisions
Chapter 2
Leveraging AI for Roadmapping
of a hypothetical scenario for a B2B company's MVP roadmap Utilization of customer data and satisfaction scores Use of mathematical models to maximize metrics like Net Promoter Score
Chapter 3
Limitations of AI in Roadmapping
Potential biases in models based on past data Restrictions of AI recommendations to provided data Missing nuances, such as features resonating with underrepresented demographics
Chapter 4
Human Oversight and Judgment
The importance of human interpretation of AI suggestions Examples of AI pitfalls and the need for human guidance Engaging discussion on starting with AI, determining data quantities, and combining with PM expertise
Chapter 5
Balancing Algorithms and Experience
Promise of AI in making roadmapping more data-driven Recognition of AI not being a silver bullet Importance of finding the right balance between algorithms and human experience for effective roadmapping
Meet your Mentor
Riya Gayasen
Senior Product Manager @ Paypal, Ex Oracle
Riya Gayasen is a seasoned Senior Product Manager currently working at Paypal, with previous experience from Oracle. Based in San Jose, California, she has a strong background in product management and is also a featured speaker at Product School, where she inspires and educates the next generation of product leaders.
Frequently Asked Questions
What are the main pillars of Ai Product?
The main pillars include data collection, analysis, machine learning, and implementation for product development.
What is Ai Product, and why is it important to learn about?
Ai Product utilizes artificial intelligence to enhance product development, making it essential to stay competitive in the market.
Is these Ai Product course designed for corporate training and workforce upskilling?
Yes, the course is structured to cater to corporate training needs and to upskill the workforce effectively.
How long can I access the free Ai for product course content?
You can access the free course content for an unlimited period once you enroll in the course.
Will I receive a certification upon completion of the free Ai for product course course?
Yes, upon successful completion, you will receive a certification to validate your knowledge and skills in AI Product.
Choosing the Right AI Enhancements for Your Product
4.15
(311 ratings)
Intermediate
9 December 2024 at 3:30 am GMT
22k Learners enrolled
Mentor
Riya Gayasen
Senior Product Manager @ Paypal, Ex Oracle
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