Complete Course: AI Product Management

In this episode, Aakash and Pawel Huryn discuss how to become an AI product manager (AIPM). They cover essential skills such as prompting, writing AI PRDs, fine-tuning, and RAG (Retrieval-Augmented Generation). Pawel provides practical demonstrations of prompting techniques, fine-tuning a model to speak like Yoda, and building a chatbot using RAG with Pinecone, N8N, and Lovable. They also explore MCP (Modular Component Protocol) servers for connecting to tools like Figma and Jira, and AI agents for market research, providing a comprehensive toolkit for aspiring AI product managers.

Outlines

Part 1: AI Product Management Foundations

Part 2: Model Optimization, Fine-Tuning

Part 3: RAG Architecture, Implementation

Part 4: AI Agents, Future Outlook

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Aakash Gupta

Part 1: AI Product Management Foundations

Introduction to AI Product Management

AI Product Requirements Documents (PRDs)

Part 2: Model Optimization, Fine-Tuning

Fine-Tuning for AI Models

Part 3: RAG Architecture, Implementation

Introduction to Retrieval Augmented Generation (RAG)

Building a RAG Pipeline with N8N

Creating an Endpoint for the RAG Chatbot

Integrating the RAG Pipeline with a Chatbot Frontend

Part 4: AI Agents, Future Outlook

Introduction to MCP and AI Agents

Building an AI Agent with N8N

Conclusion and Call to Action

Complete Course: AI Product Management

Aakash Gupta

Part 1: AI Product Management Foundations

00:00Introduction to AI Product Management

Introduction to AI Product Management

09:45AI Product Requirements Documents (PRDs)

AI Product Requirements Documents (PRDs)

Part 2: Model Optimization, Fine-Tuning

19:53Fine-Tuning for AI Models

Fine-Tuning for AI Models

Part 3: RAG Architecture, Implementation

29:18Introduction to Retrieval Augmented Generation (RAG)

Introduction to Retrieval Augmented Generation (RAG)

37:58Building a RAG Pipeline with N8N

Building a RAG Pipeline with N8N

49:14Creating an Endpoint for the RAG Chatbot

Creating an Endpoint for the RAG Chatbot

1:01:25Integrating the RAG Pipeline with a Chatbot Frontend

Integrating the RAG Pipeline with a Chatbot Frontend

Part 4: AI Agents, Future Outlook

1:19:06Introduction to MCP and AI Agents

Introduction to MCP and AI Agents

1:30:11Building an AI Agent with N8N

Building an AI Agent with N8N

1:35:31Conclusion and Call to Action

Conclusion and Call to Action