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What’s Included?

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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.

Self Study Materials Included

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.

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.

Tools You’ll Master

ChatGPT

ChatGPT

AI Fairness 360

AI Fairness 360

Power BI

Power BI

IBM Watson OpenScale

IBM Watson OpenScale

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.

Course 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

Frequently 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.