Complete Course: AI Product Management

In this episode, Aakash Gupta and Pawel Huryn discuss how to become an AI product manager. Pawel explains why AI PMs are highly paid, emphasizing the need to combine business skills with technical knowledge. They delve into essential skills such as effective prompting, creating AI PRDs, fine-tuning models (demonstrating with a Yoda-like chatbot), and using RAG (Retrieval-Augmented Generation) with Pinecone, N8N, and Lovable to build a chatbot connected to a Google Drive folder. Pawel also demonstrates using MCP (Mission Control Protocol) to connect Figma designs to Jira for automated user story creation and explores AI agents using Lovable for market research, highlighting the tools and logic involved in orchestrating these agents. The conversation wraps up with a discussion on whether all PMs need to become AI PMs, with both agreeing on the high growth potential of the AI market.

Outlines

Part 1: AI Product Management Fundamentals

Part 2: LLMs and RAG Implementation

Part 3: AI Agents and Automation

Part 4: Future Outlook

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The Growth Podcast

Part 1: AI Product Management Fundamentals

Introduction to AI Product Management and Prompting Techniques

AI Product Requirements Documents (PRDs)

Part 2: LLMs and RAG Implementation

Fine-Tuning Large Language Models

Introduction to Retrieval-Augmented Generation (RAG)

Building a RAG-Powered Chatbot Workflow

Creating a Chatbot Endpoint and Integrating with OpenAI

Part 3: AI Agents and Automation

Introduction to MCP and Automating Jira Tasks from Figma Designs

AI Agents and Market Research Automation

Part 4: Future Outlook

Conclusion and Final Thoughts

Complete Course: AI Product Management

The Growth Podcast

Part 1: AI Product Management Fundamentals

00:00Introduction to AI Product Management and Prompting Techniques

Introduction to AI Product Management and Prompting Techniques

11:44AI Product Requirements Documents (PRDs)

AI Product Requirements Documents (PRDs)

Part 2: LLMs and RAG Implementation

19:50Fine-Tuning Large Language Models

Fine-Tuning Large Language Models

29:16Introduction to Retrieval-Augmented Generation (RAG)

Introduction to Retrieval-Augmented Generation (RAG)

37:30Building a RAG-Powered Chatbot Workflow

Building a RAG-Powered Chatbot Workflow

50:03Creating a Chatbot Endpoint and Integrating with OpenAI

Creating a Chatbot Endpoint and Integrating with OpenAI

Part 3: AI Agents and Automation

1:07:18Introduction to MCP and Automating Jira Tasks from Figma Designs

Introduction to MCP and Automating Jira Tasks from Figma Designs

1:19:00AI Agents and Market Research Automation

AI Agents and Market Research Automation

Part 4: Future Outlook

1:33:40Conclusion and Final Thoughts

Conclusion and Final Thoughts