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AI+ Product Manager™ Self-Paced Learning V3_2025
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Introduction
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Course Introduction
Audio Book: Introduction AI+ Product Manager
Module 1: Introduction to AI for Product Managers
Module 1: Introduction to Artificial Intelligence (AI) for Product Managers
Audio Book: Introduction to Artificial Intelligence (AI) for Product Managers
Podcast: Introduction to AI for Product Managers
1.1 What is AI?
1.2 Branches of Artificial Intelligence
1.3 Deep Dive into AI Applications for Product Management
1.4 The Role of an AI Product Manager
ACTIVITY: Drag and Drop
1.5 Introduction to the Importance of AI in Product Development
1.6 Challenges of AI in Product Development
ACTIVITY: Tab
ACTIVITY: Knowledge Check
Quiz
Module 2: Fundamentals of Machine Learning
Module 2: Fundamentals of Machine Learning
Audio Book: Fundamentals of Machine Learning
Podcast: Fundamentals of Machine Learning
2.1 Introduction to Machine Learning
2.2 How Machine Learning Works
2.3 Types of Machine Learning
2.4 Comparison of Supervised, Unsupervised, and Reinforcement Machine Learning
ACTIVITY: Case Study
2.5 Why We Need Data Preprocessing
2.6 Data Preprocessing Steps in Machine Learning
2.7 Consequences of Ignoring Data Preprocessing
ACTIVITY: Tab
ACTIVITY: Knowledge Check
Quiz
Module 3: AI Product Development Lifecycle
Module 3: AI Product Development Lifecycle
Audio Book: AI Product Development Lifecycle
Podcast: AI Product Development Lifecycle
3.1 The Integration of AI into Product Development
3.2 Role of AI in Product Development
3.3 AI Transforming Product Development
3.4 Merits of AI in Product Development
3.5 Different Stages of AI Product Development
3.6 Use Cases of AI for Product Development in Different Industries
ACTIVITY: Sequence Arrangement
3.7 Methods for Prototyping and Testing AI-Driven Products
3.8 Best AI Tools for Product Managers
ACTIVITY: Accordian
ACTIVITY: Knowledge Check
Quiz
Module 4: AI Ethics and Bias
Module 4: AI Ethics and Bias
Audio Book: AI Ethics and Bias
Podcast: AI Ethics and Bias
4.1 Bias, Fairness, and Privacy Protection
4.2 Transparency, Explainability, Accountability, and Responsibility
4.3 Safety, Reliability, and Social Impact
4.4 Regulatory Compliance, Ethical Decision-Making, and Continuous Monitoring
ACTIVITY: Case Study
4.5 AI Bias: What It Is, Its Sources, and the Possibility of Eliminating It
4.6 Strategies for Identifying and Addressing Bias in AI Algorithms and Products
4.7 How to Fix Biases in AI and Machine Learning Algorithms?
4.8 Tools to Reduce Bias: AI Fairness 360
4.9 Tools to Reduce Bias: IBM Watson OpenScale and Google’s What-If Tool
4.10 Examples: What are Some Real-World Examples of AI bias?
ACTIVITY: Tab
ACTIVITY: Knowledge Check
Quiz
Module 5: AI Implementation Strategies
Module 5: AI Implementation Strategies
Audio Book: AI Implementation Strategies
Podcast: AI Implementation Strategies
5.1 Steps for AI Integration and Product Enhancement
5.2 Identifying Suitable AI Technologies and Preparing Your Data for AI Integration
5.3 Implementing AI in Your Product and Selecting Tools & Frameworks
5.4 Developing AI Models and Deploying AI Features
5.5 Monitoring and Improving AI Performance
5.6 Examples of AI Integrations
5.7 Methods to Integrate AI into an App
ACTIVITY: Carousel
5.8 Key Steps and Strategies in Stakeholder Management for Product Teams
5.9 Benefits and role of Stakeholders in Product Management
5.10 What is it that Stakeholders Really Want?
ACTIVITY: Multiple Choice
ACTIVITY: Knowledge Check
Quiz
Module 6: AI Metrics and Performance Evaluation
Module 6: AI Metrics and Performance Evaluation
Audio Book: AI Metrics and Performance Evaluation
Podcast: AI Metrics and Performance Evaluation
6.1 KPI: Introduction, Evolution, and Common KPIs for AI in Marketing
6.2 AI-Enhanced Tracking of KPIs
6.3 Examples of AI Tools for KPI Measurement and Analytics
6.4 Case Studies in AI-Driven KPI Measurement
6.5 KPI Dashboard Software and Tools
ACTIVITY: Tab
6.6 Introduction to Performance Evaluation
6.7 Techniques Used for Performance Evaluation: Confusion Matrix
6.8 Techniques Used for Performance Evaluation: AUC - ROC Curve
6.9 Techniques Used for Performance Evaluation: Gini Coefficient and R-Squared/Adjusted R-Squared
ACTIVITY: Drag and Drop
ACTIVITY: Knowledge Check
Quiz
Module 7: AI Regulation and Compliance
Module 7: AI Regulation and Compliance
Audio Book: AI Regulation and Compliance
Podcast: AI Regulation and Compliance
7.1 Introduction to the Regulatory Landscape: AI Regulations Across Different Countries
7.2 Key Global Regulations
7.3 Key Regulatory Rules Required for AI
7.4 Entities Most Adversely Affected by AI Regulations
7.5 Impact on AI Companies
ACTIVITY: Hotspot
7.6 Introduction to AI Regulatory Compliance
7.7 Compliance Strategies
7.8 Role and Importance of Data Privacy in AI Compliance
7.9 The Role of Legal Professionals in Ensuring Compliance with AI Regulations
ACTIVITY: Tab
ACTIVITY: Knowledge Check
Quiz
Module 8: Future Trends in AI and Product Management
Module 8: Future Trends in AI and Product Management
Audio Book: Future Trends in AI and Product Management
Podcast: Future Trends in AI and Product Management
8.1 Key Trends to Watch Out For
ACTIVITY: Carousel
8.2 Step-by-Step Guide to Strategic Planning
8.3 Strategic Plan
ACTIVITY: Scenario Activity
ACTIVITY: Knowledge Check
Quiz
Additional Module - AI Agents For Product Manager
AI Agent Product Manager
Resources
AI+ Product Manager Blueprint
AI+ Product Manager Detailed Curriculum
AI+ Product Manager Tools
AI+ Product Manager Resources and References
AI CERTs Exam Guidelines
AI CERTs Exam Guidelines
AI+ Product Manager Examination
AI+ Product Manager Examination
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AI+ Product Manager™ Self-Paced Learning V3_2025
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