AI+ Product Manager™

Certificate Code: AP-250

Passing Score: 70% (35/50)

Exam Info: 50 MCQs, 90 Minutes

Tagline: Innovate Products Faster with AI-Enabled Management

Course Overview:

Prerequisites:

Tools Used:

• ChatGPT
• AI Fairness 360
• Power BI
• IBM Watson OpenScale

Modules:

• Certification Overview
  1. Course Introduction Preview
• Module 1: Introduction to Artificial Intelligence (AI) for Product Managers
  1. 1.1 Understanding the Basics of artificial intelligence
  2. 1.2 Importance of AI
• Module 2: Fundamentals of Machine Learning
  1. 2.1 Introduction to Machine Learning
  2. 2.2 Data Preparation in ML model
• Module 3: AI Product Development Lifecycle
  1. 3.1 Exploring How AI Can Be Leveraged in Ideation and Conceptualization
  2. 3.2 Prototyping and Testing: Explore Methods for Prototyping and Testing AI-driven Products Effectively
• Module 4: AI Ethics and Bias
  1. 4.1 Understanding Ethical Considerations: Examine the Ethical Implications of AI Products and the Responsibility of Product Managers
  2. 4.2 Mitigating Bias: Learn Strategies to Identify and Address Bias in AI Algorithms and Products
• Module 5: AI Implementation Strategies
  1. 5.1 Integration with Existing Products: Explore Methods for Integrating AI Features into Existing Products Seamlessly
  2. 5.2 Stakeholder Management: Understand How to Communicate AI Initiatives Effectively with Stakeholders and Gain their Support
• Module 6: AI Metrics and Performance Evaluation
  1. 6.1 Key Performance Indicators (KPIs): Identify Relevant Metrics for Measuring the Success of AI-driven Products
  2. 6.2 Performance Evaluation Techniques: Learn Methods for Evaluating the Performance of AI Models and Products
• Module 7: AI Regulation and Compliance
  1. 7.1 Regulatory Landscape: Explore Current Regulations and Frameworks Relevant to AI Products
  2. 7.2 Compliance Strategies: Develop Strategies to Ensure AI Products Comply with Regulatory Requirements
• Module 8: Future Trends in AI and Product Management
  1. 8.1 Emerging Technologies: Discuss Upcoming Trends and Technologies Shaping the Future of AI and Product Management
  2. 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. 1. Understanding AI Agents
  2. 2. Case Studies
  3. 3. Hands-On Practice with AI Agents

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.

Career 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.

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-Study Materials:

• Videos: Engaging visual content to enhance understanding and learning experience.
• Podcasts: Insightful audio sessions featuring expert discussions and real-world cases.
• Audiobooks: Listen and learn anytime with convenient audio-based knowledge sharing.
• E-Books: Comprehensive digital guides offering in-depth knowledge and learning support.
• Hands-on: Practical experience through real-world exercises, case studies, and applied learning.
• Module Wise Quizzes: Interactive assessments to reinforce learning and test conceptual clarity.
• Additional Resources: Supplementary references and list of tools to deepen knowledge and practical application.

Frequently Asked Questions:

• Q: How will this course benefit my career as a product manager?
  A: 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.
• Q: Who is the target audience for this certification?
  A: 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.
• Q: Can I apply the knowledge gained from this course across different industries?
  A: Absolutely. The principles and applications of AI in product management are applicable across various industries, from tech to healthcare, finance, retail, and beyond.
• Q: Will I receive a certification upon completing the course?
  A: Yes, participants who successfully complete the course and any required assessments will receive an AI+ Product Manager™ certification.
• Q: What are the prerequisites for enrolling in this course?
  A: While there are no strict prerequisites, a basic understanding of product management concepts and a keen interest in leveraging AI technologies would be beneficial.

Certificate Features:

• High-Quality Video, E-book & Audiobook
• Modules Quizzes
• AI Mentor
• Access for Tablet & Phone
• Online Proctored Exam with One Free Retake
• Hands-on Practices