Building AI-Powered Products: An Intermediate Guide for Product Managers
Master the skills to build AI-driven products that meet user needs and drive business value. Transform your product management approach with practical insights and frameworks.
Overview
This course equips Product Managers with a practical approach to building AI-powered products that solve meaningful user and business problems. Learners explore how AI products differ from traditional software, identify AI-worthy opportunities, assess data readiness, and scope features using approaches such as prompt-only systems, retrieval-augmented generation (RAG), fine-tuning, and agentic workflows.
Learners also develop the skills to measure AI performance, define success metrics, and design trustworthy AI experiences with appropriate human oversight. The course covers AI risks, privacy, governance, launch strategies, post-launch monitoring, and roadmap planning, helping Product Managers confidently scope, evaluate, launch, and scale responsible AI-powered features.
Skills you'll gain
AI for Product ManagersAI for Product ManagementAI in Product ManagementProduct Managers
What you'll learn
Differentiate AI product opportunities from traditional software features and identify where AI creates measurable user and business value.
Evaluate data readiness, feasibility constraints, and solution patterns to scope viable AI features for real product use cases.
Define practical success metrics, trust signals, and evaluation criteria for launching AI features with confidence.
Apply human oversight, governance-aware practices, and risk controls to design trustworthy AI product experiences.
Plan how to launch, iterate, and scale AI features using product metrics, user feedback, and roadmap prioritization.
Who Should Attend
Prerequisites
This course is designed for product managers with 2+ years of experience who want to integrate AI into existing products, senior product managers leading AI initiatives, technical product managers transitioning into AI/ML product ownership, and product leads or startup founders building AI-first products and experiences.
This course requires a basic understanding of product management fundamentals, comfort working with metrics and experiments, and general familiarity with AI and large language models (LLMs).
Chapters
Explore a structured set of chapters designed to build your skills step by step, with practical examples and hands-on applications.
Meet your instructors
Karlis Zars
View my channelFrequently Asked Questions
How much do the courses at Starweaver cost?
We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.
Do you offer any certifications upon completion of a course at Starweaver?
Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.
Does Starweaver offer any free courses or trials?
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Karlis Zars