Artificial Intelligence Product, Project and Program Management

AI for Product Managers

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Group Training

Schedule

Course Outline

Overview

This course introduces Product Managers to Artificial Intelligence (AI) concepts and the strategies needed to successfully define, build, and manage AI-powered products.

Participants will learn how to:

Ensure responsible AI practices, including governance and ethical considerations.
Develop an AI-first mindset and strategy for product development.
Accelerate product discovery using AI for market research and competitor analysis.
Build and validate hypotheses and prioritize features with confidence using AI-driven tools.
Collaborate effectively with data science and engineering teams.

This course is included in the AI Annual Learning Pass.

Schedule

Duration: 1/2 Day

Dates

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7/22/26

4:00pm - 8:00pm Wednesday

Live Online

$675

Dates :

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8/20/26

8:00am - 12:00pm Thursday

Live Online

$675

Dates :

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9/21/26

4:00pm - 8:00pm Monday

Live Online

$675

Dates :

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10/29/26

1:00pm - 5:00pm Thursday

Live Online

$675

Dates :

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12/3/26

1:00pm - 5:00pm Thursday

Live Online

$675

Who Should Take This Course

Audience

Product Managers and Product Owners.
Directors and VPs of Product.
Product Marketing Managers and Product Operations Managers.
Product Designers and other professionals involved in product development exploring AI adoption.
Professionals transitioning into AI-focused Product Management

Prerequisites

No technical background or coding experience is typically required.
Basic familiarity with product management methodologies and the product lifecycle is helpful.

Why You Should Take This Course

Future-Proof Your Role: Stay competitive and in-demand by mastering the skills to lead AI initiatives (PMs who embrace AI will replace those who don’t).
Deliver Impact: Learn a problem-first, outcome-led approach to spot real AI opportunities and create funded
business cases.
Master the New Toolstack: Gain hands-on practice with Generative AI tools and prompt engineering for faster discovery, strategy, and prototyping.
Lead Confidently: Bridge the gap between business, data science, and engineering to manage the unique challenges (like uncertainty and data drift) of the AI product lifecycle.

Course Outline

AI for Product Managers

Module	Topics Covered
Introduction to AI in Product Management	What is AI, ML, Deep Learning, and Generative AI? The AI Hype Cycle and value frameworks. How AI changes the Product Manager role and product lifecycle.
Defining the AI Product Strategy	Identifying and framing high-ROI AI problems and opportunities. Creating an AI business case and modeling monetization options. Data requirements, governance, and bias risks for AI/ML.
The AI Product Development Lifecycle	Key differences between AI and traditional product development (e.g., unpredictable outcomes, continuous model improvement). Working with data scientists and engineers, and defining AI-specific product requirements (PRDs). Experimentation, A/B testing, and rapid prototyping.
AI Tools and Prompt Engineering	Leveraging Generative AI tools (e.g., ChatGPT, Gemini) for faster PM workflows. Mastering prompt engineering basics and advanced techniques. Using AI for market research, synthesizing customer feedback, and tailoring communication.
Responsible AI and Measuring Success	Ethical and governance considerations, bias mitigation, and privacy checks. Defining and measuring AI product success (KPIs and ROI evaluation). Post-launch monitoring, performance, and addressing data drift.