Claude AI for Product Managers - From Strategy to Execution

Packt via Coursera

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Go to class

Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

7 weeks, 1 hour a week
Sessions

Self-Paced
Level

Beginner
Subtitles

English

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Overview

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This course provides product managers with practical skills to integrate Claude AI into their workflow. Learn to manage backlogs, streamline team communication, and conduct effective product research using AI. Explore customer discovery and decision-making through real-world applications, guiding you through every step of product development. In this course, you will discover how Claude AI can revolutionize your approach to product management. Starting with the basics, the course covers essential AI tools and their role in product management, providing you with the knowledge to leverage AI in every phase of product development. The course is divided into several sections, starting with an introduction to product management and progressing to the integration of AI tools like Claude. You will learn how to use Claude for tasks like backlog management, market analysis, and customer development. Through hands-on exercises, you will also get a deep dive into AI-driven research methods, ensuring your product decisions are based on real insights. Finally, the course explores creative AI applications, including AI-powered copywriting and content creation for product managers. The course wraps up with a focus on prompt engineering, empowering you to fine-tune Claude’s capabilities and navigate ethical considerations in AI use. By the end, you’ll be able to apply AI throughout the product lifecycle to ensure success. This course is designed for product managers, digital marketers, AI enthusiasts, and business professionals looking to enhance their product management strategies using Claude AI. A basic understanding of AI tools and product management processes will be beneficial but not required. Whether you're starting in product management or looking to streamline your existing practices, this course will equip you with the tools and knowledge needed to drive success using AI. This course blends theory and hands-on practice, starting with product management essentials and advancing to Claude AI integration. Through practical exercises, learners will apply AI for backlog management, market research, and team communication. The course ensures participants can leverage AI to make data-driven decisions and optimize product strategies. This course is based on Claude AI for Product Managers - From Strategy to Execution, by Anton Voroniuk. This Course is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you. Copyright © 2026 Anton Voroniuk All rights reserved. No part of this course may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Syllabus

Introduction to Product Management Essentials
- This module introduces the foundational concepts of product management, covering the role of product managers, their responsibilities, and the impact of effective product management on business success. Learners will gain a clear understanding of the different types of product managers and how they contribute to product development. The module sets the stage for deeper exploration of product lifecycle management.
Working with Claude AI
- This module provides product managers with practical insights into leveraging Claude AI for decision-making, workflow optimization, and team collaboration. It covers configuring AI settings, managing backlogs, and improving stakeholder communication through AI tools. Learners will gain hands-on knowledge of integrating Claude into their daily product management tasks.
Product Manager Case Study
- This module equips learners with essential skills in product management, focusing on problem identification, user discovery, hypothesis formation, and decision-making. It covers strategies for building a product vision, managing risks through prioritization, and using experiments to guide development. Learners will gain practical knowledge to structure product thinking and align strategy with execution.
Product Discovery & Validation with Claude
- This module explores how to use Claude for product discovery and validation, covering essential topics like market research, customer development, and testing methodologies. Learners will gain practical skills to conduct effective research, analyze market trends, and validate product ideas using AI tools. It provides a structured approach to understanding product-market fit and customer needs.
Elevate Product Communication with Creative AI
- This module explores how to leverage creative AI tools like Claude Pro and text-to-image generators to enhance product communication across various platforms. Learners will gain skills in crafting persuasive ad copy, structuring blog content, and generating marketing images. The module also covers best practices for prompt writing and tool comparison.
Prompt Engineering & Creative Control
- This module explores how to effectively interact with AI systems by mastering prompt engineering techniques. Learners will gain an understanding of how AI interprets prompts, the key parameters that influence output, and strategies to control AI without coding. It also covers best practices for constructing reliable and creative prompts.
Final Insights, Action Plan & Ethical AI Use
- This module provides learners with a comprehensive review of key course concepts, guidance on creating actionable plans for future AI applications, and insights into ethical AI use, including copyright and originality issues.