AI Agents for Product Leaders

AI Agents for Product Leaders

30mIntermediate2024-09-18

Authors

Marily Nika

Marily Nika

AI Product Lead at Google, Executive Fellow at Harvard Business School

Course details

Welcome to AI Agents for Product Leaders. I'm Marily Nika, a Gen AI Product Leader with experience at Google and Meta. In this course, Marily Nika—a Gen AI Product Leader with experience at Google and Meta—dives into the process of building and integrating AI agents into products, from the initial concept to a successful launch. Learn how to create autonomous systems that truly enhance user experiences. Gain insights into the technical, strategic, and ethical aspects of developing AI agents. Explore how AI agents can be practically applied in product development, setting you up for success in this rapidly evolving field. Whether you're a seasoned product manager or new to AI, this course will give you the tools to create innovative, responsible, and impactful agentic products.

Learning objectives
Summarize what agentic products and agentic AI encompass, and what types of products they can enable.
Define the different types of agents and their unique benefits.
Explore potential applications of agentic products and how to match AI agent functionality with key customer pain points.
Complete user-centric challenges with developing and maintaining agentic products.
Define development strategies for AI agents.
Determine how to launch and scale agentic products in the marketplace.
Integrate emerging technologies and applications of agentic products to inspire and inform you.

Skills covered

Product ManagementArtificial Intelligence for BusinessBusiness Analysis and StrategyDeep Dive (X:Y)

Concepts

Introduction

  • Welcome to AI agents for product leaders

Foundations of AI Agents and Agentic Products

  • Defining AI agents and agentic products
  • The evolution of AI in product development

Understanding AI Agent Capabilities

  • Types of AI agents
  • Key technologies powering AI agents
  • AI agent capabilities

Integrating AI Agents into Product Strategy

  • Identifying opportunities for AI agents in products
  • Aligning AI agent capabilities with user needs

Designing Agentic Products

  • User experience considerations for agentic products
  • Ethical considerations in agentic product design

Development and Implementation

  • Collaborating with AI and engineering teams
  • Testing and quality assurance for AI agents

Launching and Scaling Agentic Products

  • Go-to-market strategies for AI-powered products
  • Measuring success and iterating

Future Trends and Opportunities

  • Emerging technologies in AI agents
  • Preparing for the future of product management with AI

Conclusion

  • What next
40,000 Toman