AI+ Product Manager™
AP-250
Innovate Products Faster with AI-Enabled Management- 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
Why This Certification Matters
At a Glance: Course + Exam Overview
- Instructor-Led: 1 day (live or virtual)
- Self-Paced: 6 hours of content

Who Should Enroll?
Product Managers: Enhance your skills by integrating AI into product development processes and drive innovation.
Aspiring Product Managers: Gain a strong foundation in AI-driven product management strategies to kickstart your career.
Technology Enthusiasts: Leverage AI tools to optimize product strategies and create impactful product experiences.
Business Analysts: Apply AI to streamline product development processes and enhance decision-making for better product outcomes.
Students & Fresh Graduates: Prepare for a successful career in AI product management by mastering the skills that top companies demand.
Industry Growth: Driving Innovation & Product Lifecycle with Smart Decision-Making
- 85% of companies are investing in AI-driven product development (Source: McKinsey).
- Managing AI-driven platforms and enterprise tools to meet growing demands for smart, scalable software solutions.
- Leveraging AI for personalized customer experiences and automation, shaping the future of consumer products.
- Ensuring responsible and ethical AI implementation, an essential area as AI technologies evolve rapidly.
- Innovating with AI to develop smarter healthcare solutions, improving patient outcomes and operational efficiency.

Skills You’ll Gain
- AI Branches Exploration
- AI Applications in Product Management
- Role of an AI Product Manager
- Bridging Technology and Market Solutions
- AI in Product Development
- Benefits and Competitive Advantages of AI
- AI Product Development Processes
What You'll Learn
- Course Introduction
- 1.1 Understanding the Basics of artificial intelligence (AI)
- 1.2 Importance of AI
- 2.1 Introduction to Machine Learning
- 2.2 Data Preparation in ML model
- 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
- 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
- 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
- 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
- 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
- 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
Tools You’ll Master

ChatGPT

AI Fairness 360

Power BI

IBM Watson OpenScale
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 Details
Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via proctored exam platform (flexible scheduling)
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%
Choose the Format That Fits Your Schedule
What’s Included (One-Year Subscription + All Updates):
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
Instructor-Led (Live Virtual/Classroom)
- 1 day of intensive training with live demos
- Real-time Q&A, peer collaboration, and hands-on labs
- Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
- ~6 hours of on-demand video lessons, e-book, podcasts, and interactive labs
- Learn anywhere, anytime, with modular quizzes to track progress
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Get CertifiedFrequently Asked Questions
This course will equip you with the knowledge and skills to leverage AI in product development, making you adept at integrating cutting-edge technology into practical, market-driven solutions.
This course is designed for current and aspiring product managers who want to integrate AI into their product development processes. It is suitable for individuals with a basic understanding of digital technologies and a keen interest in AI.
Absolutely. The principles and applications of AI in product management are applicable across various industries, from tech to healthcare, finance, retail, and beyond.
Yes, participants who successfully complete the course and any required assessments will receive an AI+ Product Manager™ certification.
While there are no strict prerequisites, a basic understanding of product management concepts and a keen interest in leveraging AI technologies would be beneficial.