Overview

Google, IBM & Meta Certificates – 40% Off

One plan covers every Professional Certificate on Coursera.

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Step into the world of AI product management and master the skills needed to lead AI-driven projects with confidence. This course equips you with techniques to harness AI tools, analyze user data, and craft product strategies that drive real results. You'll gain hands-on expertise in prompt engineering, ChatGPT integration, and leveraging AI insights to make informed product decisions. The course guides you through market research, persona creation, and competitive analysis, enabling you to build a product vision, strategy, and roadmap aligned with business goals. You will learn to structure product backlogs, set release objectives, and prioritize features efficiently, ensuring maximum impact throughout development cycles. Explore practical applications in Jira and Confluence for backlog management, sprint planning, and meeting transcriptions, incorporating human judgment and ethical considerations into AI workflows. This journey ensures that your AI projects are both strategically sound and operationally effective. Designed for current or aspiring product managers, tech enthusiasts, and AI innovators, this course requires a basic understanding of product management principles. No prior AI expertise is needed, making it accessible for those eager to transition into AI product roles. By the end of the course, you will be able to design AI product strategies, manage agile backlogs, leverage AI tools like ChatGPT and Rovo AI for decision-making, and execute AI-driven sprints with actionable insights.

Syllabus

Introduction

In this module, we will provide a comprehensive introduction to AI product management. You will explore the history of AI, the significance of prompt engineering, and the essential tools used by AI product managers. By the end, you’ll be prepared to kickstart your AI product management journey.

AI Market Research

In this module, we will focus on AI-driven market research techniques. You will learn to collect and analyze user data, as well as perform both standard and deep competitive analyses. These skills will help you make data-informed product decisions.

AI Product Vision, Strategy & Roadmap

In this module, we will guide you through shaping your AI product’s direction. You will learn to craft a compelling vision, define a robust strategy, and generate detailed roadmaps that ensure smooth product execution.

AI Product Backlog Management

In this module, we will explore how to manage your AI product backlog effectively. You will learn to create personas, generate backlog items, and set product goals to maximize development efficiency and impact.

Jira AI Product Backlog Management

In this module, we will demonstrate how to use Jira to manage AI product backlogs. You will learn to set up Jira, import data, and utilize AI-powered tools to streamline backlog creation and acceptance criteria definition.

AI Sprint Planning

In this module, we will focus on planning AI product sprints. You will learn how to structure stories into actionable sprints and set precise sprint goals to drive productive development cycles.

AI Meetings & Sprint Lifecycle

In this module, we will cover the management of AI sprints and meetings. You will learn to incorporate ethical decision-making, leverage AI transcription tools, and generate actionable meeting outcomes to enhance team collaboration.