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Courses / NextGen AI Series / AI-Powered Product Management
NextGen AI Series

AI-Powered Product Management

onpointc
Teacher

onpointc

Category

NextGen AI Series

Last Updated

October 23, 2025

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About Course

Learn to use AI-powered tools and frameworks in this 2-day course to enhance your product research, strategy, development, and operations.

  • Position yourself as a next-gen AI Product Manager with AI expertise.
  • Leverage AI tools like Productboard AI, Figma AI, Mixpanel, and more.
  • Conduct AI-driven market research & competitor benchmarking
  • Use AI tools for data-driven product roadmapping & feature prioritization
  • Leverage AI in product design, UX, and A/B testing
  • Apply AI in customer success, churn prediction & monetization

What Will You Learn?

  • Understand how AI enhances product management across research, strategy, development, and operations
  • Use AI tools for market insights, customer sentiment analysis, and competitive intelligence
  • Leverage AI to create data-driven product roadmaps and prioritize features
  • Apply AI in UX design, prototyping, testing, and continuous product iteration
  • Enhance customer retention and monetization using AI-powered analytics
  • Drive operational efficiency with AI-driven product performance tracking and automation

Course Curriculum

Introduction to Product
Understand that product management covers all aspects of the business to ensure market success. Learn about different product types (hardware, software, service, experience) and delivery models (direct, indirect, marketplace). Understand that projects are not products and may only support the development of products.

Product Lifecycle
Learn the stages of a product, from conception to retirement, and how each lifecycle stage impacts product management, delivery, go-to-market strategy, and optimization. Understand the adoption curve, crossing the chasm, and how product management approaches vary across customer adoption stages.

Product Management Concerns
Learn strategies and tools to analyze the market, competitors, and positioning to adapt and improve the product. Align the product with organizational goals, considering value, impact, and constraints like risk, compliance, and sustainability. Explore research methods, data analysis, competitive review, focus groups, ideation, and customer feedback to generate and refine product ideas. Understand that products are often inherited, requiring alignment and adaptation within existing legacy systems and organizational context.

Product Strategy
Monitor product performance in real-time using AI-powered dashboards. Identify operational risks and optimize workflows with AI tools. Enhance collaboration across teams and streamline product delivery using AI insights.

The Organization Ecosystem
Learn how external partners, users, customers, and stakeholders influence product strategy. Explore tools and processes to create and share a clear, inspiring product vision. Identify and use meaningful metrics to track success and shorten feedback cycles for rapid innovation. Know Your Product: Develop deep knowledge of the product across business, UX, tech, and customer support perspectives. Use techniques like Jobs to Be Done, contextual inquiry, and personas to uncover customer behavior and needs.

Product Planning & Roadmaps
Learn to collect, triage, and prioritize ideas, deciding when to say yes or no using various filtering approaches. Explore outcome-focused planning methods like user story mapping to create adaptable, feedback-driven product roadmaps.

Defining A Relevant Product
Learn to choose the right design method (e.g., design thinking, lean startup) for your product. Run experiments and prototypes to validate ideas and involve customers. Capture and act on market feedback strategically for true customer-centricity.

Working With Product Teams
Explore team structures and why end-to-end cross-functional teams are ideal for accountability and ownership. Adapt team composition and competencies to match different product lifecycle stages and avoid common pitfalls. Learn to partition products for value delivery while maintaining adaptability and responsiveness to market changes.

AI In Product Management
Use AI for market analysis, customer insights, competitor benchmarking, and creating user personas. Apply AI to define product vision, prioritize features, create roadmaps, and design compelling value propositions. Enhance product design, prototyping, AI-driven testing, and data-driven decisions during development. Leverage AI for post-launch monitoring, performance analysis, and improving operational efficiency.

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    This course includes:
    Duration 14h
    Skill Level All Levels
    Certificate Yes
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