AI Product Management: The Complete Handbook

AI Product Management: The Complete Handbook

Instructor: Packt - Course Instructors

Access provided by ExxonMobil

19 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

3 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

19 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

3 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Develop a clear AI product roadmap and career strategy
Understand core AI/ML capabilities and their business applications
Align AI initiatives with organizational goals and ethical standards

Skills you'll gain

Tools you'll learn

Model Deployment

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

19 assignments

Taught in English

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There are 19 modules in this course

Artificial Intelligence is transforming every industry, and the ability to manage AI-driven products is now one of the most in-demand skills in the tech landscape. This course provides a complete roadmap for mastering the art and science of AI product management—bridging the gap between data science, engineering, and business strategy.

Throughout the course, you’ll learn how to build, launch, and scale AI-powered products effectively. You’ll explore model development, infrastructure, maintenance, and commercialization, gaining the insights needed to turn AI innovation into real business value. Unlike typical product management programs, this course uniquely combines technical foundations with hands-on, real-world product case studies. You’ll see how design, growth hacking, benchmarking, and ethical AI come together to define the future of product leadership. This course is ideal for aspiring and practicing product managers, entrepreneurs, and tech professionals who want to lead AI-native products. A basic understanding of product management and AI concepts will be helpful but not mandatory.

In this section, we explore AI, ML, and DL definitions, compare algorithm differences, and examine infrastructure for scalable AI deployment, providing foundational knowledge for effective AI product development.

What's included

2 videos16 readings1 assignment

2 videos Total 2 minutes

Course Overview 1 minute
Understanding the Infrastructure and Tools for Building AI Products - Overview Video 1 minute

16 readings Total 140 minutes

Introduction 10 minutes
Introducing ML and DL 10 minutes
The New Exploring DL 5 minutes
Invisible Influences 5 minutes
ML versus DL Understanding the Difference 10 minutes
DL 5 minutes
Supervised Learning 10 minutes
Unsupervised Learning 10 minutes
Reinforcement Learning 10 minutes
Succeeding in AI How Well-Managed AI Companies Do Infrastructure Right 10 minutes
Feedback 10 minutes
Storing and Managing Data 10 minutes
Data Lake (and Lakehouse) 10 minutes
Managing Projects IaaS 5 minutes
Deployment Strategies What Do We Do With These Outputs 10 minutes
Example 10 minutes

1 assignment Total 10 minutes

Foundations of AI Product Development 10 minutes

In this section, we cover AI model development, NPD stages, and ethical retraining for effective product governance.

What's included

1 video9 readings1 assignment

1 video Total 1 minute

Model Development and Maintenance for AI Products - Overview Video 1 minute

9 readings Total 80 minutes

Introduction 10 minutes
Marketing 5 minutes
Model Types From Linear Regression to Neural Networks 10 minutes
OKRs 10 minutes
Training When Is a Model Ready for Market 10 minutes
Deployment What Happens After Training 10 minutes
Testing and Troubleshooting 10 minutes
Ethical Retraining The Ethics of How Often We Update Our Models 5 minutes
The Current State of Accountability 10 minutes

1 assignment Total 10 minutes

AI Model Development and Maintenance Fundamentals 10 minutes

In this section, we compare machine learning and deep learning, focusing on feature extraction, model complexity, and ethical considerations in AI deployment.

What's included

1 video8 readings1 assignment

1 video Total 1 minute

Deep Learning Deep Dive - Overview Video 1 minute

8 readings Total 80 minutes

Introduction 10 minutes
Case Study 10 minutes
Convolutional Neural Networks 10 minutes
Deep Belief Networks 10 minutes
Autoencoders 10 minutes
Transformer Models 10 minutes
Explainability Optimizing for Ethics Caveats and Responsibility 10 minutes
Guidelines for Success 10 minutes

1 assignment Total 10 minutes

Deep Learning Fundamentals and Applications 10 minutes

In this section, we explore practical AI model implementation, data strategy analysis, and explainable AI design for enterprise applications. Key concepts include AI democratization and the value of generalist skills in real-world product development.

What's included

1 video7 readings1 assignment

1 video Total 1 minute

Commercializing AI Products - Overview Video 1 minute

7 readings Total 65 minutes

Introduction 10 minutes
The Professionals Examples of B2B Products Done Right 10 minutes
The Artists Examples of B2C Products Done Right 10 minutes
The Pioneers Examples of Blue Ocean Products 10 minutes
The rebels Examples of Red Ocean Products 5 minutes
The GOATs Examples of Differentiated Disruptive and Dominant Strategy Products 10 minutes
Disruptive Strategy 10 minutes

1 assignment Total 10 minutes

Commercializing AI Products 10 minutes

In this section, we examine AI's role in transforming economic systems, developing AI-driven MVPs, and addressing global challenges in healthcare and governance through ethical and practical applications.

What's included

1 video6 readings1 assignment

1 video Total 1 minute

AI Transformation and Its Impact on Product Management - Overview Video 1 minute

6 readings Total 60 minutes

Introduction 10 minutes
Limitations and Uneven Adoption 10 minutes
Sickness and Health the Benefits of AI and Nanotech Across Healthcare 10 minutes
Product Perspective 10 minutes
Product Perspective 10 minutes
Basic Needs AI for Good 10 minutes

1 assignment Total 10 minutes

AI Transformation and Its Implications 10 minutes

In this section, we explore AI product development stages, team roles, and tech stack investments to build effective AI-native tools with practical applications.

What's included

1 video13 readings1 assignment

1 video Total 1 minute

Understanding the AI-Native Product - Overview Video 1 minute

13 readings Total 100 minutes

Introduction 10 minutes
Data Management 5 minutes
Research and Development 5 minutes
Deployment 10 minutes
Data Scientist 10 minutes
Customer Success Specialist 10 minutes
Investing in Your Tech Stack 10 minutes
Productizing AI-Powered Outputs How AI Product Management Is Different 5 minutes
AI Customization 5 minutes
Selling AI Product Management as a Higher Octave of Sales 5 minutes
Case Study 5 minutes
Team Breakdown 10 minutes
Tech Stack 10 minutes

1 assignment Total 10 minutes

Navigating AI-Native Product Development 10 minutes

In this section, we explore productizing AI services, emphasizing differences from traditional software, AIOps/MLOps integration, and performance evaluation for scalable, reliable solutions.

What's included

1 video8 readings1 assignment

1 video Total 1 minute

Productizing the ML Service - Overview Video 1 minute

8 readings Total 70 minutes

Introduction 10 minutes
Scalability 5 minutes
Profit Margins 5 minutes
Uncertainty 10 minutes
Agile Development 10 minutes
How Does the Role of an AI PM Compare with a Traditional PM 10 minutes
Experimentation with B2C Products Discover the Needs of Your Collective 10 minutes
Consistency and AIOps/MLOps Reliance and Trust 10 minutes

1 assignment Total 10 minutes

Productizing AI/ML Services 10 minutes

In this section, we explore AI customization for verticals, customers, and peer groups, emphasizing domain-specific strategies and data-driven insights for effective product alignment.

What's included

1 video9 readings1 assignment

1 video Total 1 minute

Customization for Verticals, Customers, and Peer Groups - Overview Video 1 minute

9 readings Total 80 minutes

Introduction 10 minutes
Understanding How Your Product Design Will Serve Your Market 10 minutes
Building Your AI Product Strategy 10 minutes
Fintech 10 minutes
Algorithmic Trading and Predictive Analytics 10 minutes
Drug Discovery and Research 10 minutes
Manufacturing Predictive Management 5 minutes
Cybersecurity Anomaly Detection and User and Entity Behavior Analytics 5 minutes
Thought Leadership Learning from Peer Groups 10 minutes

1 assignment Total 10 minutes

AI Strategies for Market Success 10 minutes

In this section, we explore AI-native product design principles, focusing on user and customer journeys, explainability, and clarity to create empathetic, functional AI experiences.

What's included

1 video12 readings1 assignment

1 video Total 1 minute

Product Design for the AI-Native Product - Overview Video 1 minute

12 readings Total 110 minutes

Introduction 5 minutes
Product Design Elements 101 10 minutes
Experimentation 10 minutes
Iteration 10 minutes
Documentation 10 minutes
Machine Learning 10 minutes
Choosing Your Priorities Wisely 10 minutes
Adding Complexity 10 minutes
Branding 10 minutes
What’s the Story You’re Telling? 10 minutes
Progression 5 minutes
Case Study 10 minutes

1 assignment Total 10 minutes

Designing Effective AI-Driven Products 10 minutes

In this section, we explore value metrics, KPIs, and OKRs to measure product success and align strategy with growth goals. We emphasize transparent communication and cost analysis for competitive positioning.

What's included

1 video13 readings1 assignment

1 video Total 1 minute

Benchmarking Performance, Growth Hacking, and Cost - Overview Video 1 minute

13 readings Total 105 minutes

Introduction 5 minutes
Value Metrics A Guide to North Star Metrics KPIs and OKRs 10 minutes
KPIs and Other Metrics 10 minutes
OKRs and Product Strategy 5 minutes
Hacking Product-Led Growth 10 minutes
The Tech Stack Early Signals 5 minutes
Customer Engagement Platforms (CEPs) 10 minutes
A/B Testing Tools 10 minutes
Business Intelligence (BI) Tools 5 minutes
Growth-Hacking Tools 5 minutes
Managing Costs and Pricing AI Is Expensive 10 minutes
KPIs 10 minutes
OKRs 10 minutes

1 assignment Total 10 minutes

Strategic Metrics and Team Collaboration 10 minutes

In this section, we explore AI product management strategies, emphasizing alignment, communication, and team collaboration over technical expertise alone.

What's included

1 video7 readings1 assignment

1 video Total 1 minute

Managing the AI-Native Product - Overview Video 1 minute

7 readings Total 70 minutes

Introduction 10 minutes
Bad Vision Statements 10 minutes
Communication 10 minutes
The Heart Managing People and Values 10 minutes
Empowerment 10 minutes
Managing the rest 10 minutes
Case Study 10 minutes

1 assignment Total 10 minutes

Navigating the Challenges of AI Product Management 10 minutes

In this section, we explore AI integration in traditional products and its impact on business strategy and innovation.

What's included

1 video7 readings1 assignment

1 video Total 1 minute

The Rising Tide of AI - Overview Video 1 minute

7 readings Total 70 minutes

Introduction 10 minutes
Changes in the Fourth Industrial Revolution 10 minutes
Working with an AI Consultant 10 minutes
The First Hire 10 minutes
Anticipating Potential Risks 10 minutes
How LLMs Are Evolving and the Rise of Open Source LLM Capabilities 10 minutes
Case Study 10 minutes

1 assignment Total 10 minutes

Navigating AI's Impact and Responsibilities 10 minutes

In this section, we examine AI trends and growth areas from industry research, evaluate AI readiness, and explore strategies for integrating AI into products and operations for improved outcomes.

What's included

1 video7 readings1 assignment

1 video Total 1 minute

Trends and Insights Across Industry - Overview Video 1 minute

7 readings Total 60 minutes

Introduction 10 minutes
Applied Embedded AI Applied and Integrated Use Cases 10 minutes
Ethical AI Responsibility and Privacy 10 minutes
Immersive Applications 5 minutes
Autonomous AI Development TuringBots 5 minutes
Low-hanging Fruit Quickest Wins for AI Enablement 10 minutes
Riding the GenAI Wave 10 minutes

1 assignment Total 10 minutes

AI Trends and Industry Insights 10 minutes

In this section, we examine how to evolve products into AI solutions by aligning AI adoption with product strategy and company vision, focusing on strategic planning and risk assessment.

What's included

1 video12 readings1 assignment

1 video Total 1 minute

Evolving Products into AI Products - Overview Video 1 minute

12 readings Total 100 minutes

Introduction 10 minutes
Value 10 minutes
Scope 5 minutes
Reach 5 minutes
Case Study 10 minutes
Data Management The Bloodstream of the Company 10 minutes
Ensuring Quality Partnerships 10 minutes
Benchmarking and Defining Success 5 minutes
Competition Love Your Enemies 5 minutes
Product Strategy Building a Blueprint That Works for Everyone 10 minutes
Product Goals 10 minutes
Red Flags 10 minutes

1 assignment Total 10 minutes

Navigating AI Product Evolution 10 minutes

In this section, we cover the evolution of product design and what makes the evolved AI product special.

What's included

1 video8 readings1 assignment

1 video Total 1 minute

The Role of AI Product Design - Overview Video 1 minute

8 readings Total 80 minutes

Introduction 10 minutes
Data Management Strategizing and Integrity 10 minutes
Are You Ready to Scale 10 minutes
Automation and Adaptability 10 minutes
Choosing Your Words Carefully 10 minutes
Accessibility and Inclusivity 10 minutes
Integrating AI into ProjectABZ A Project Management Tool Created by ABCDZCo 10 minutes
Design and Development 10 minutes

1 assignment Total 10 minutes

Designing Products for AI-Driven Evolution 10 minutes

In this section, we explore adapting existing software products for AI integration, focusing on strategic alignment, feedback loops, and fostering a culture of psychological safety for successful AI transformation.

What's included

1 video6 readings1 assignment

1 video Total 1 minute

Managing the Evolving AI Product - Overview Video 1 minute

6 readings Total 55 minutes

Introduction 10 minutes
Feedback Loops 5 minutes
The Heart Managing the People and Values 10 minutes
Infrastructure and Data 10 minutes
Maintenance 10 minutes
People Alignment 10 minutes

1 assignment Total 10 minutes

Navigating AI Product Evolution and Ethical Integration 10 minutes

In this section, we explore pathways to becoming an AI PM, focusing on readiness, role requirements, and interview strategies. It emphasizes customer focus and community engagement for career growth.

What's included

1 video7 readings1 assignment

1 video Total 1 minute

Starting a Career as an AI PM - Overview Video 1 minute

7 readings Total 60 minutes

Introduction 5 minutes
Theory 10 minutes
Practice 10 minutes
What an AI PM Looks Like Today 10 minutes
The Importance of Communities 10 minutes
Choosing Your AI PM Specialization 10 minutes
Case Study 5 minutes

1 assignment Total 10 minutes

Navigating a Career in AI Product Management 10 minutes

In this section, we explore AI PM competencies, challenges, and strategies for long-term career growth in the field.

What's included

1 video9 readings1 assignment

1 video Total 1 minute

What Does It Mean to Be a Good AI PM? - Overview Video 1 minute

9 readings Total 80 minutes

Introduction 10 minutes
Quality Controller 10 minutes
Competitor Analyst 10 minutes
Visionary 10 minutes
Regulatory Complier 10 minutes
Conflict Resolver 5 minutes
The AI Whisperer and the Role of Communicating Accessibly 10 minutes
The Importance of Self-Care 10 minutes
Case Study 5 minutes

1 assignment Total 10 minutes

The Role and Responsibilities of an AI Product Manager 10 minutes

In this section, we explore developing an AI PM career roadmap, staying informed on AI trends, and expanding professional networks to support continuous growth and adaptability in the field.