Ai Product Manager Explorer Certificate
Published 7/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 933.85 MB | Duration: 2h 57m
Published 7/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 933.85 MB | Duration: 2h 57m
A 7-day certificate to help product managers lead AI initiatives, define strategy, and align stakeholders
What you'll learn
Understand AI fundamentals and workflows to confidently collaborate with data scientists and engineers without needing to code.
Identify and evaluate AI use cases by aligning business goals, user needs, and data feasibility for maximum impact.
Define success metrics for AI features, including precision, recall, business KPIs, and ethical considerations.
Create and present an AI product roadmap that balances experimentation, uncertainty, and delivery milestones.
Communicate AI strategies to stakeholders using clear, non-technical language that builds trust and drives alignment. Ask ChatGPT
Requirements
No coding or technical background required – this course is designed for non-technical professionals who want to lead AI-powered products.
No prior AI or machine learning knowledge needed – we start with the basics and build up to real-world applications.
Ideal for product managers, UX designers, business analysts, or startup founders looking to integrate AI into their product strategy.
Access to a computer or tablet with internet connectivity for viewing lessons, participating in peer reviews, and completing quizzes.
A willingness to learn, reflect, and engage with hands-on product framing exercises and real-world use cases.
Optional: Familiarity with product development concepts like roadmaps, user journeys, and metrics is helpful but not required. Ask ChatGPT
Description
AI Product Manager Explorer Certificate is a 7-day, fast-paced, non-technical course designed to help current and aspiring AI Product Managers gain a strong foundation in artificial intelligence, machine learning, and AI-driven product development—without needing to write a single line of code. This is your chance to upskill, stay relevant, and lead confidently in today’s rapidly evolving AI landscape.Whether you’re a product manager, startup founder, UX designer, or business analyst, the AI Product Manager Explorer Certificate equips you with the skills to lead AI initiatives from idea to implementation. You’ll learn how to identify high-impact AI use cases, communicate effectively with technical teams, and design an AI product roadmap that aligns with real-world data, user needs, and business goals.This non-technical AI course is perfect for professionals who want to understand machine learning workflows, model evaluation metrics, and ethical considerations—without getting bogged down in programming or math. You’ll gain insight into how AI teams work, what makes AI product management different from traditional software, and how to communicate your vision clearly to stakeholders, engineers, and executives.Through interactive lessons, real-world case studies, and guided exercises, you’ll build a complete AI product plan by the end of the course. You’ll define your problem space, select a use case, design the AI-powered feature, map out your AI product roadmap, and present your strategy in language that both technical and non-technical stakeholders can understand.On completion, you’ll earn a recognized AI Product Manager certification—a signal to employers and hiring managers that you are ready to lead AI-powered products and contribute meaningfully to AI-driven innovation. This AI certification boosts your credibility and opens doors to roles where AI fluency is no longer optional, but essential.What sets this course apart is its emphasis on non-technical AI product management. It doesn’t just skim the surface. You’ll dive deep into how to frame AI strategy, set the right success metrics, run agile AI sprints, and manage risk and uncertainty across cross-functional teams. You’ll gain practical tools and a structured approach for building trust, navigating complexity, and ensuring AI delivers real value.Whether you're preparing for a promotion, transitioning into an AI product manager role, or trying to bring smarter features to life, this course is your launchpad. It’s designed for those who want to influence AI product strategy—not just understand it in theory.Join thousands of forward-thinking professionals who are building the future of product with AI. Enroll in the AI Product Manager Explorer Certificate today and earn the skills—and the recognition—you need to thrive in the AI era.
Overview
Section 1: Day 1: What is AI and Why It Matters for PMs
Lecture 1 AI vs Machine Learning vs Data Science
Lecture 2 The Evolution of AI in Product Development
Lecture 3 Types of AI: Narrow, General, and Generative
Lecture 4 The Role of a PM in an AI Project
Lecture 5 The Role of a PM in an AI Project
Section 2: Day 2: AI Use Cases and Product Opportunities
Lecture 6 Common AI Patterns
Lecture 7 Domain-Specific AI Applications
Lecture 8 Identifying AI-Ready Problems
Lecture 9 Exploring User Impact and Value
Lecture 10 Opportunity Framing for PMs
Section 3: Day 3: Understanding the AI Workflow
Lecture 11 The AI Lifecycle Simplified
Lecture 12 Who Does What in an AI Team
Lecture 13 The Role of Data in Product Success
Lecture 14 Why AI Product Development is Iterative
Lecture 15 Case Exercise: Mapping an AI Workflow
Section 4: Day 4: Framing AI Product Strategy
Lecture 16 Understanding the Problem-Solution-Data Fit
Lecture 17 User Needs vs Data Availability
Lecture 18 Defining AI Goals and Success Criteria
Lecture 19 Aligning Product Vision with AI Capabilities
Lecture 20 Case Study: Framing a Use Case
Section 5: Day 5: Managing AI Teams
Lecture 21 Core Roles in an AI Team
Lecture 22 Running Agile AI Sprints
Lecture 23 Collaborating Across Disciplines
Lecture 24 Managing Expectations and Uncertainty
Lecture 25 Conflict & Decision-Making in AI Teams
Section 6: Day 6: Evaluating AI Impact
Lecture 26 Introduction to AI Metrics
Lecture 27 Human-in-the-Loop and Feedback
Lecture 28 Ethical AI and Responsible Evaluation
Lecture 29 Defining Success Beyond the Model
Lecture 30 Communicating AI Performance
Section 7: Day 7: Build Your AI Product Plan
Lecture 31 Select Your Use Case
Lecture 32 Draft Your Product Vision
Lecture 33 Outline the Roadmap and Metrics
Lecture 34 Create a Stakeholder Summary
Lecture 35 Peer Review and Final Certification
Product managers who want to break into AI without needing to code.,Aspiring PMs and career switchers looking to add AI fluency to their resume and stand out in a competitive market.,UX designers, business analysts, and strategists who collaborate with AI teams and want to understand how AI fits into product development.,UX designers, business analysts, and strategists who collaborate with AI teams and want to understand how AI fits into product development.,Team leads or project managers tasked with managing AI projects or aligning cross-functional teams on AI goals. Ask ChatGPT