AI Product Management - Complete Course - 3.5 hours - Masterclass | AI Agents, RAG, Evals, LLMs.

Become an AI-First Product Manager. Master AI Agents, RAG, and LLMs in this comprehensive 3.5-hour masterclass.
🚀 Join our flagship AI PM Program (Trusted by 2,200+ Alums from Amazon, Microsoft, & CRED): https://hellopm.co/?ref=ytx&utm_source=youtube

Why This Masterclass?
The GenAI revolution is fundamentally changing how products are built. Whether you're an aspiring PM or a seasoned leader, this masterclass provides the end-to-end framework you need to build, scale, and evaluate AI-powered products.

What You’ll Learn:
• LLM Fundamentals: From tokenization to training stages.
• Context Engineering: Deep dive into RAG (Retrieval-Augmented Generation).
• AI Agents: How to design and deploy autonomous visual agents.
• Practical Case Studies: Architecture of AI Meeting Assistants and Job Boards.
• Career Growth: How to build a standout AI Portfolio and transition into AI PM roles.

📖 Get the Masterclass Slide Deck, Resources & Templates:
https://hellopm.co/hellopm-ai-for-pms-masterclass-resources-oct25/?utm_source=youtube

Meet Your Instructor
Ankit Shukla is the Founder of HelloPM, dedicated to helping professionals transition into high-growth Product roles.
Connect on LinkedIn: https://www.linkedin.com/in/ankythshukla/?ref=youtube

Chapters in this video:
00:00 Introduction to AI Product Management
00:44 Masterclass Overview and Agenda
02:07 The Gen AI Revolution
06:13 Understanding Large Language Models
08:56 Tokenization and Training Data
14:04 Stages of Large Language Model Training
24:46 The Role of Transformers and GPUs
38:41 Post-Training and Reducing Hallucinations
44:16 AI Product Management Value Chain
57:01 AI Note Takers: A Case Study
01:01:27 Understanding Market Opportunity for Meeting Assistants
01:02:13 Business Value and Strategic Opportunities
01:02:59 Designing Intuitive User Experiences
01:04:21 Engineering Feasibility and AI Orchestration
01:05:54 How AI Meeting Tools Work
01:13:27 Growth Strategies for AI Products
01:19:40 Introduction to Context Engineering
01:22:12 RAG: Retrieval-Augmented Generation
01:38:36 Prompt Engineering Essentials
01:50:28 Guide to Prompt Engineering for Busy People
01:54:11 Session Recap and Audience Engagement
01:54:29 Introduction to AI Product Management Masterclass
01:55:50 Understanding Large Language Models (LLMs)
01:58:41 AI Product Management Roles and Responsibilities
01:59:38 Building AI-Powered Meeting Assistants
02:03:33 Context Engineering and RAG Models
02:06:44 Prompt Engineering Tips and Techniques
02:28:10 Fine-Tuning Large Language Models
02:35:11 Introduction to Transfer Learning
02:38:56 Creating and Utilizing AI Agents
02:47:31 Summarizing LinkedIn Posts with AI
02:48:12 Creating Effective Prompts for AI
02:49:05 Sending Email Summaries
02:50:41 Understanding AI Agents and Their Components
02:51:22 Exploring AI Use Cases and Tools
02:52:10 Building AI Products: Key Considerations
02:53:34 Introduction to Visual Agents and Orchestrators
02:54:06 The Importance of Guardrails in AI
03:11:16 Evaluating AI Products
03:14:54 Creating a Job Website with AI
03:25:28 Building a Strong AI Portfolio
03:30:30 Conclusion and Next Steps

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