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Mastering AI Product Management
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1.
Getting Started
Course Overview
2.
Infrastructure and Tools for Building AI Products
Introduction to Infrastructure and Tools
Definitions: What Is and Is Not AI
Machine Learning vs. Deep Learning – Understanding the Difference
Learning Types and Supervised Learning Models
Semi-supervised, Unsupervised, and Reinforcement Learning Models
The Order—Flow and Process
Data Containers and Pipelines
Managing Projects—IaaS
Deployment Strategies
Succeeding in AI
The Promise of AI
Summary
Quiz
3.
Model Development and Maintenance for AI Products
Introduction to Model Development and Maintenance
Understanding the Stages of NPD
Model Types
Model Training
Performance Metric: R-Squared Metric
Model Deployment
Testing and Troubleshooting
Refreshing: Updating Models
Summary
Quiz
4.
Machine Learning and Deep Learning Deep Dive
Introduction to Machine Learning and Deep Learning
The Old: Exploring ML
The New: Exploring DL
A Brief History of DL
Types of Neural Networks: Part I
Types of Neural Networks: Part II
Emerging Technologies
Explainability and Accuracy
Summary
Quiz
5.
Commercializing AI Products
Introduction to Commercializing AI Products
AI Products in the B2B Market
AI Products in the B2C Market
Blue Ocean Products in the AI Market
Red Ocean Products in the AI Market
Marketing Strategies and Explainability
Summary
Quiz
6.
AI Transformation and Its Impact on Product Management
Introduction to AI Transformation and Its Impact
Money and Value
Goods and Services
Government and Autonomy
Sickness and Health
Basic Needs
Summary
Quiz
7.
Understanding the AI-Native Product
Introduction to AI-Native Product
Stages of AI Product Development
AI/ML Product Dream Team: Part I
AI/ML Product Dream Team: Part II
Investing in Tech Stack
Productizing AI-Powered Outputs
AI Customization
Selling AI: Product Management
Summary
Quiz
8.
Productizing the ML Service
Introduction to Productizing the ML Services
AI vs. Traditional Software Product
Difference Between AI and Traditional Software Products: Part I
Difference Between AI and Traditional Software Products: Part II
B2B vs. B2C—Productizing Business Models: Part I
B2B vs. B2C—Productizing Business Models: Part II
Consistency and AIOps/MLOps
Performance Evaluation
Feedback Loop
Summary
Quiz
9.
Customization for Verticals, Customers, and Peer Groups
Introduction to Customization
Orienting AI toward Specific Areas
Market Benefits
Building Our AI Product Strategy
Verticals: FinTech, Healthcare, and Cybersecurity
Anomaly Detection and UEBA
Value Metrics and Key Performance Indicators
Thought Leadership: Learning from Peer Groups
Summary
Quiz
10.
Macro and Micro AI for Our Product
Introduction to Micro and Macro AI
Macro AI: Foundations and Umbrellas
Machine Learning
Computer Vision and NLP
Deep Learning
Robotics, Expert Systems, and Fuzzy Logic in Macro AI
Micro AI: Feature Level
Robotics, Expert System, and Fuzzy Logic in Micro AI
Successes: Examples that Inspire
Challenges: Common Pitfalls
Summary
Quiz
11.
Benchmarking Performance, Growth Hacking, and Cost
Introduction to Benchmarking, Growth Hacking, and Cost
Value Metrics
A Guide to North Star Metrics
KPIs and Other Metrics
OKRs and Product Strategy
Hacking: Product-Led Growth
The Tech Stack
CDPs and CEPs for Customer Success
Tools for Communication, Analytics, Testing, and Data Warehousing
Growth-Hacking Tools and Managing Costs and Pricing
Summary
Quiz
12.
The Rising Tide of AI
Introduction to Rising Tide of AI
Evolve or Die: When Change Is the Only Constant
The Fourth Industrial Revolution
From Consultants to Building Teams for AI Adoption
Embracing Challenges in AI Product Management
Navigating Risks in AI Product Management
Summary
Quiz
13.
Trends and Insights Across Industry
Introduction to Trends and Insights Across Industry
Exploring AI Growth: Trends, Ethics, and Applied Strategies
Exploring AI Growth: Creative Applications and Future Trends
Trends in AI Adoption
AI Revolution: Surge of Creative and Autonomous Development
Succeeding in AI Adoption
Summary
Quiz
14.
Evolving Products into AI Products
Introduction to Evolving Products into AI Products
Balancing Possibilities, Realities and Long-Term Product Value
Prioritizing AI: Value, Scope, and Customer Impact
The Power Behind AI Product Data
Data for AI Success
Competitive Landscape for AI Integration
Creating a Strategic Roadmap for AI Integration
Refining the Strategic Roadmap for AI Integration
Navigating AI Transformation: Red Flags and Green Flags
Summary
Quiz
15.
Conclusion
Wrap Up
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Mastering AI Product Management
Introduction to AI Transformation and Its Impact
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