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Why AI Matters for Product Managers Today

Business Value of AI-First Products (Retention, Personalization, Automation)

How AI Changes Product Thinking: From Rules To Probabilities

Real-World Examples (Spotify, Google Photos, Notion AI)

How AI Works in Products – From Input to Output  

Overview Of Data Pipelines, Model Inference, APIs & Endpoints

Role of LLMs, Embeddings, and Fine-Tuned Models in Product Features

Product Manager Perspective: What You Need to Know vs What You Don’t

Data as the Foundation of AI  

Importance of Quality Data  

Data Collection Methods  

Data Privacy and Ethics  

Types of AI Use Cases in Product Management

Predictive AI (Churn Prediction, Fraud Detection)

Generative AI (Content Creation, Chatbots, Design Tools)

NLP and Computer Vision in Real Products

Choosing the Right Type of AI for Your Product

Understanding the Development Process  

Communicating Effectively with Data Scientists and Engineers  

From Ideation to Launch  

Managing the AI Product Lifecycle  

Continuous Improvement and Scaling AI Solutions  

Feasibility Check: When (and When Not) to Use AI

Product Manager Decision Framework: Cost, Complexity, Data Availability

Mapping Pain Points to AI Solutions

Red Flags: Use-Case Mismatch, Overengineering, Data Gaps

Resume Skills: AI Product Fluency, LLM Integration Awareness, AI Use Case Mapping, Product Manager-AI Decision Frameworks

Quiz

In today's fast-paced digital landscape, understanding artificial intelligence (AI) is no longer optional for product managers; it's essential. This course, 'From Concept to Execution: A Product Manager's Guide to AI Fundamentals,' is designed to equip you with the foundational knowledge and practical skills needed to leverage AI in product management. You'll explore the business value of AI, learn how to communicate effectively with data scientists, and discover the types of AI use cases that can transform your products. With real-world examples from industry leaders like Spotify and Google Photos, you'll gain insights into how AI can enhance user experience through personalization, automation, and more. Join us to unlock the potential of AI and elevate your product management career.

1. Core AI Foundations — For Product Managers 

<div class="simple-box-wrapper">    <div class="simple-box">        <div class="column">                        <p>In an era characterized by rapid technological advancements, artificial intelligence (AI) stands out as a transformative force reshaping industries and redefining the landscape of product management. The integration of AI into products is no longer a futuristic aspiration but a present-day necessity that can significantly enhance business value through improved retention, personalized user experiences, and unprecedented automation capabilities. Product managers must evolve their thinking from traditional rule-based methodologies to embracing probabilistic models that reflect the complexities of human behavior and dynamic market demands. With successful companies like Spotify, Google Photos, and Notion AI serving as case studies, the imperative for product managers to harness AI's potential has never been clearer. This course seeks to equip product managers with the foundational knowledge and practical skills needed to navigate this AI-driven landscape effectively.</p>

<p>Understanding AI’s mechanisms—from data pipelines to model inference—is crucial for product managers tasked with delivering innovative solutions. This course will delve into the intricacies of how AI works within products, emphasizing the role of large language models, embeddings, and fine-tuned models in creating compelling product features. Furthermore, it will highlight the importance of high-quality data as the bedrock of AI implementations, addressing the ethical considerations surrounding data privacy. As product managers engage with data scientists and engineers, they will learn how to align AI use cases with business objectives, ensuring that technology enhances rather than complicates the user experience. By mastering the frameworks for evaluating AI feasibility and the skills necessary for effective communication and collaboration within cross-functional teams, participants will emerge prepared to lead their organizations in the responsible and innovative application of AI in product development.</p>        </div>    </div></div>

This course is about Core AI Foundations — For Product Managers. 
The Objective is for Product Managers with a minimal understanding of AI to gain functional fluency in AI technologies, with a Product Manager lens.
The course must provide 2 hours’ worth of information and must cover the following lessons:
•	Lesson 1.1: Why AI Matters for Product Managers Today
o	Business value of AI-first products (retention, personalization, automation)
o	How AI changes product thinking: from rules to probabilities
o	Real-world examples (Spotify, Google Photos, Notion AI)

•	Lesson 1.2: How AI Works in Products – From Input to Output
o	Overview of data pipelines, model inference, APIs & endpoints
o	Role of LLMs, embeddings, and fine-tuned models in product features
o	PM perspective: what you need to know vs what you don’t

•	Lesson 1.3: Types of AI Use Cases in Product Management
o	Predictive AI (churn prediction, fraud detection)
o	Generative AI (content creation, chatbots, design tools)
o	NLP and Computer Vision in real products
o	Choosing the right type of AI for your product

•	Lesson 1.4: Feasibility Check: When (and When Not) to Use AI
o	PM decision framework: cost, complexity, data availability
o	Mapping pain points to AI solutions
o	Red flags: use-case mismatch, overengineering, data gaps

Resume Skills: AI product fluency, LLM integration awareness, AI use case mapping, PM-AI decision frameworks


From Concept to Execution: A Product Manager's Guide to AI Fundamentals  