Overview
Design and deploy AI agents to automate product discovery, delivery, and optimization, Apply agentic workflows to roadmap planning, prioritization, and decision-making, Integrate AI agents with product analytics, user feedback, and experimentation, Lead cross-functional teams using agent-driven product operating models, Evaluate, govern, and scale agentic systems responsibly in enterprise products
Product Managers and Product Owners seeking to automate decision-making and accelerate delivery using AI agents, Senior PMs, Heads of Product, and Product Leaders aiming to modernize product operating models, Founders and Startup Leaders building AI-native or agent-powered products, Business and Technology Leaders exploring agentic systems for innovation and competitive advantage, UX, Data, and Engineering Managers collaborating with product teams using AI-driven workflows
Basic understanding of product management concepts or digital products, Familiarity with agile, lean, or roadmap-driven product development, General awareness of AI, automation, or data-driven decision-making, No coding experience required; technical concepts explained clearly, Curiosity to explore AI agents and modern product leadership models
Disclaimer:
This course contains the use of artificial intelligence(AI).
Agentic Product Management is the next evolution of how modern products are designed, built, and scaled. As AI agents move from experimentation to real-world execution, product leaders must learn how to work with intelligent systems—not just manage backlogs and roadmaps.
This course is a practical, leadership-focused guide to using AI agents across the entire product lifecycle—from discovery and prioritization to delivery, optimization, and scale. You’ll learn how agentic systems can automate decisions, generate insights, run experiments, and continuously improve products in fast-changing markets.
Unlike traditional AI or product courses, this program does not focus on coding or deep machine learning theory. Instead, it equips you with frameworks, workflows, and real-world use cases that product managers and leaders can apply immediately—whether you’re working in a startup, scale-up, or enterprise environment.
You’ll explore how AI agents can:
Analyze user data and market signals to support product discovery
Assist with roadmap planning, prioritization, and trade-off decisions
Run experiments, monitor outcomes, and optimize features autonomously
Support cross-functional teams with real-time insights and recommendations
Enable new agent-driven product operating models
The course also addresses the strategic and governance side of agentic product management. You’ll learn how to evaluate where agents add value, how to maintain human oversight, and how to scale agentic systems responsibly within your organization.
Through practical examples, frameworks, and hands-on exercises, you’ll gain clarity on:
What “agentic” really means in a product context
How to design agent workflows aligned with business goals
How product roles evolve in an AI-agent-powered organization
How to avoid common pitfalls, over-automation, and ethical risks
By the end of this course, you won’t just understand AI agents—you’ll know how to lead products in an agentic world.
Whether you’re a product manager, product leader, founder, or business executive, this course will help you stay ahead of the curve and build products that are faster, smarter, and more adaptive.
The future of product management is agentic. This course shows you how to lead it.
Siam Hossain
Siam Hossain is an immigrant founder building across education, employment, and equity for migrants.
He first started HigherStudyAbroad, a 220,000-member nonprofit helping students from developing countries access top global universities.
He then founded Algorizin, a career accelerator that has helped 200+ immigrants land over $13M in high-paying tech jobs in the US.
Recently he launched XenosWealth, a wealth management platform focused on helping immigrants build generational wealth.