Product Management for AI & Data Science

“This course contains the use of learn artificial intelligence risks in cybersecurity”

Artificial Intelligence and data science are no longer experimental or optional technologies. Today, AI-powered and data-driven products sit at the core of how organizations compete, make decisions, and scale. As a result, companies are actively seeking Product Managers who understand how to build, manage, and own AI products—not just track timelines or manage backlogs.

This course is designed specifically to prepare you for the Product Manager for AI & Data Science role. It focuses on the product thinking, decision-making, and leadership skills required to take an AI product from idea to production and beyond. Unlike traditional safe product management courses, this course addresses the realities of working with machine learning systems, data pipelines, Generative AI models, and AI platforms, where outcomes are uncertain and success depends on much more than feature delivery.

A core emphasis of the course is helping you clearly differentiate between Product Managers, Product Owners, and Project Managers, and understand where the AI Product Manager fits within modern organizations. You will learn why AI Product Managers are accountable for problem selection, value creation, and risk management, while working closely with data scientists, ML engineers, and platform teams.

Throughout the course, you will learn how to identify business problems that are suitable for AI solutions, and how to translate those problems into well-defined AI use cases. You will understand how AI systems actually work at a conceptual level—covering data collection, model training, inference, feedback loops, and monitoring—without needing to write code or understand complex mathematics. This allows you to communicate confidently with technical teams while staying focused on product outcomes.

The course places strong emphasis on data as a product, helping you understand why data quality, labeling, bias, and availability directly impact product success. You will learn how to assess data readiness, identify gaps and risks, and make informed decisions when data is incomplete or imperfect. These skills are critical for AI Product Managers, as data constraints often shape what is feasible long before a model is built.

You will also learn how to define AI-specific product requirements, including functional and non-functional constraints such as accuracy, explainability, latency, cost, scalability, and ethical risk. The course walks through how to write AI-ready PRDs, evaluate trade-offs between model performance and business impact, and align stakeholders around realistic expectations.

As the course progresses, you will gain hands-on exposure to launching and operating AI products in production. This includes designing AI MVPs, using human-in-the-loop approaches, setting up monitoring for model drift and data drift, and planning for continuous improvement. Special attention is given to Generative AI and LLM-based products, where issues like hallucinations, trust, guardrails, and cost control become central product concerns.

Responsible and ethical AI is treated as a product responsibility, not just a technical one. You will learn how ai for product managers assess bias, fairness, transparency, compliance, and reputational risk, and how these considerations influence product decisions, user experience, and governance processes.

By the end of the course, you will bring everything together through a portfolio-ready, end-to-end AI product case study, demonstrating your ability to move from problem discovery to launch metrics and post-launch iteration. The course also prepares you for AI Product Manager interviews, helping you confidently answer case studies, trade-off questions, and stakeholder communication scenarios that hiring managers commonly use.

This course is ideal for aspiring Product Managers, career switchers, MBA students, traditional PMs transitioning into AI, and technical professionals who want to move into product leadership roles. If you want to stop feeling overwhelmed by AI buzzwords and start thinking and acting like a modern AI Product Manager, this course gives you the structure, language, and confidence to do exactly that.