If I had to learn AI Product Management again, I would start here: 🧵 https://t.co/njVdvhhzBK
1. Basic Concepts
For most PMs, it makes no sense to dive deep into statistics, Python, or loss functions.
You can find all practical concepts, like LLMs and Encoders, here: (link at the end of the thread)
2. Prompt Engineering
Best, free resources:
• GPT-4.1 Prompting Guide
• Anthropic prompt engineering
• Prompt engineering by Google
• Anthropic prompt generator
• Anthropic prompt library
(links at the end of the thread) https://t.co/ZwPgaw6GGy
3. Fine-Tuning
Use those platforms to experiment with training and validation data sets and parameters such as epochs. No coding:
• OpenAI Platform
• Hugging Face AutoTrain
(links at the end of the thread)
4. RAG (Retrieval-Augmented Generation)
I recommend these resources:
• Rag architectures (free)
• How to build a RAG chatbot without coding (trial)
(links at the end of the thread)
5. AI Agents & Agentic Workflows
Start with:
• n8n you can host for free. Experiment with agents, MCP, and tools.
• A practical guide to AI agent architectures (free)
(links at the end of the thread)
6. AI Prototyping & Building
I listed many tools, but in practice, Lovable, Supabase, GitHub, and Netlify are 80% of what you need. You can add Stripe. No coding.
When building, focus on the value, not hype. A free AI PRD template at the end of the thread. https://t.co/GeESfdNWuV
7. Foundational Models
My favorite models:
• Claude for coding
• ChatGPT for research
• Gemini for writing https://t.co/EPgq0j5PRP
8. AI Evals
You might have the most advanced architecture. But the real question is this: Does your product actually work?
Evals are the most critical element. And it's a task also for PMs.
A detailed guide to AI evals. No paywall: at the end of the thread
Hope that helps!
All links: https://t.co/vSOaHAUEQt
What did I forget? https://t.co/fFEfiSJvCT
P.S. In the links above, you will also find two AI cohorts I recommend. I participated in one, and I'll participating in another one in a few days.
In the links, I shared $1100+ discounts for both.
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