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    Ai Product Manager Explorer Certificate 2025

    Posted By: ELK1nG
    Ai Product Manager Explorer Certificate 2025

    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

    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