AI+ Product Manager™

  • Product Innovation: Leverage AI to drive product development and market fit
  • Concept to Execution: Explore AI applications in real product lifecycle scenarios
  • Market Advantage: Bridge the gap between tech innovation and customer needs
  • Leadership Ready: Prepare for leading roles in fast-evolving product ecosystems
Enroll Now
AI+ Product Manager™
Self-Paced: $195
Instructor-Led: $295

At a Glance: Course + Exam Overview

Category AI Business, AI Professional, All Courses, Available Now, English, Language, Product Manager
Program Name AI+ Product Manager™
Duration Instructor-Led:1 day (live or virtual) | Self-Paced:8 hours (1 Day)
Prerequisites Understanding the basics of digital technologies and their influence on various aspects of professional life. Interest in learning about the integration of AI technologies within product development. Participants should have an open mindset towards learning new concepts and technological developments.
Exam Format 50 questions, 70% passing, 90 minutes, online proctored exam

What You'll Learn

AI Product Development Expertise

Learners will gain a comprehensive understanding of the AI product development lifecycle, from ideation to deployment, ensuring they can manage AI projects effectively.

Strategic AI Implementation

Students will learn how to strategize the integration of AI into products, including selecting the right AI technologies and approaches to enhance product value and user experience.

Ethics and Regulatory Compliance

Learners who will go through this course will have the knowledge on navigating the ethical considerations and regulatory landscapes associated with AI, crucial for responsible product management.

Performance Metrics and Evaluation

Learners will develop the ability to set and evaluate AI performance metrics, helping them measure the impact and effectiveness of AI features within their products.

Certification Modules

Certification Overview

  • Course Introduction Preview

Module 1: Introduction to Artificial Intelligence (AI) for Product Managers

  • 1.1 Understanding the Basics of artificial intelligence
  • 1.2 Importance of AI

Module 2: Fundamentals of Machine Learning

  • 2.1 Introduction to Machine Learning
  • 2.2 Data Preparation in ML model

Module 3: AI Product Development Lifecycle

  • 3.1 Exploring How AI Can Be Leveraged in Ideation and Conceptualization
  • 3.2 Prototyping and Testing: Explore Methods for Prototyping and Testing AI-driven Products Effectively

Module 4: AI Ethics and Bias

  • 4.1 Understanding Ethical Considerations: Examine the Ethical Implications of AI Products and the Responsibility of Product Managers
  • 4.2 Mitigating Bias: Learn Strategies to Identify and Address Bias in AI Algorithms and Products

Module 5: AI Implementation Strategies

  • 5.1 Integration with Existing Products: Explore Methods for Integrating AI Features into Existing Products Seamlessly
  • 5.2 Stakeholder Management: Understand How to Communicate AI Initiatives Effectively with Stakeholders and Gain their Support

Module 6: AI Metrics and Performance Evaluation

  • 6.1 Key Performance Indicators (KPIs): Identify Relevant Metrics for Measuring the Success of AI-driven Products
  • 6.2 Performance Evaluation Techniques: Learn Methods for Evaluating the Performance of AI Models and Products

Module 7: AI Regulation and Compliance

  • 7.1 Regulatory Landscape: Explore Current Regulations and Frameworks Relevant to AI Products
  • 7.2 Compliance Strategies: Develop Strategies to Ensure AI Products Comply with Regulatory Requirements

Module 8: Future Trends in AI and Product Management

  • 8.1 Emerging Technologies: Discuss Upcoming Trends and Technologies Shaping the Future of AI and Product Management
  • 8.2 Strategic Planning: Learn How to Anticipate and Adapt to Future Changes in the AI Landscape to Drive Product Innovation

Optional Module: AI Agents for Product Management

  • 1. Understanding AI Agents
  • 2. Case Studies
  • 3. Hands-On Practice with AI Agents

Finish the course and get certified

Course Certificate

Industry Opportunities

AI Product Manager

Oversee the development and integration of AI technologies and manage AI-powered products, ensuring they meet market needs and drive business growth.

AI Product Strategy Lead

Lead product strategy development using AI technologies, identifying market trends and leveraging AI to create innovative product solutions.

AI Integration Specialist

Work with cross-functional teams to integrate AI technologies into existing products, optimizing product features and improving customer experiences.

AI Solutions Architect

Design and implement AI-driven product solutions, ensuring seamless integration of AI technologies into new or existing product offerings.

Frequently Asked Questions

Prerequisites

Exam Details

Passing Score

70%

Format

50 multiple-choice/multiple-response questions

Exam Blueprint

Introduction to Artificial Intelligence (AI) for Product Managers 11%
Fundamentals of Machine Learning 11%
AI Product Development Lifecycle 13%
AI Ethics and Bias 13%
AI Implementation Strategies 13%
AI Metrics and Performance Evaluation 13%
AI Regulation and Compliance 13%
Future Trends in AI and Product Management 13%
Self-Paced Online

Self-Paced Online: 8 hours (1 Day)

Price: $195

Instructor-Led Online

Instructor-Led Online: 1 day (live or virtual)

Price: $295

Core AI Tools Covered