AI Product Management Concepts, Applications & Career tips

The complete guide to becoming an AI Product Manager: Learn concepts, build skills, use tools & get career-ready
What you'll learn
Understand AI fundamentals-types of AI models, ML basics, GenAI concepts-and how they connect to product management.
Explore real-world AI applications across industries like E-commerce, Fintech, Healthcare, Social Media, Streaming, B2B & B2C.
Conduct user research, surveys, interviews, and market analysis using AI-assisted tools for faster and deeper insights.
Career preparation: AI PM roles, interview prep, resume building, portfolio tips, and growth roadmap.
Design customer journeys, wireframes, prototypes, and both mobile/web UI using AI tools-without any design skills.
Learn the complete Product Management lifecycle and how AI enhances every stage from discovery to launch.
Learn AI model evaluation techniques-accuracy, precision, recall, and real-world performance testing.
Create product vision, strategy, and AI-powered roadmaps aligned with business goals and customer needs.
Generate, validate, and refine product ideas using AI tools and structured decision-making frameworks.
Build PRDs, user stories, user personas, and acceptance criteria quickly using AI-powered content generation.
Analyze customer feedback, complaints, reviews, and behavioral data using AI to uncover pain points and opportunities.
Understand data collection, data quality, privacy, ethics, and how PMs collaborate with data teams.
Apply AI in personalization, recommendations, fraud detection, chatbots, churn prediction, and sentiment analysis.
Collaborate effectively with engineering, data science, UX, marketing, and leadership teams on AI-based projects.
Understand limitations of AI-bias, hallucinations, feasibility, cost, scalability, and need for human oversight.
Requirements
No prior experience required - we start from scratch and teach you everything step by step.
Description
AI is no longer just for engineers. Today, Product Managers are expected to understand AI concepts, identify AI opportunities, guide AI-driven solutions, and collaborate with data and engineering teams - even without knowing how to code. This course is designed to help you do exactly that.In this comprehensive and beginner-friendly program, you will learn the fundamentals of AI, key concepts like machine learning, algorithms, data, and models, and understand how they practically fit into the product management lifecycle. You will explore real-world AI use cases across industries such as e-commerce, fintech, healthcare, streaming, social media, B2B, and B2C - learning how companies use AI for personalization, fraud detection, chatbots, churn prediction, recommendation engines, and more.You will also learn how to conduct AI-assisted market research, user interviews, feedback analysis, idea validation, and feature prioritization. Using AI tools like ChatGPT, Claude, Aha!, Hyperwrite, UserPersona, Notion AI, and UIzard - you will create PRDs, user personas, wireframes, user stories, content, and mobile/web prototypes without needing design or technical expertise.We also cover data fundamentals, ethics, privacy, accuracy, risks, bias, hallucinations, and responsible AI implementation. Finally, you'll prepare for your career in AI Product Management - with resume guidance, interview prep, role expectations, and future growth strategies.By the end, you'll be confident, AI-aware, and ready to explore your path as an AI Product Manager - even if you're just getting started.
Who this course is for
For Product Managers who want to apply AI to real product workflows without coding and learn practical, industry-ready AI product skills.
For students eager to build AI-powered products, explore real use cases, and prepare for a strong career in Product Management.
For professionals transitioning into Product Management, seeking to learn the basics of product, PM, and essential AI concepts.
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