Techtter

If I had to start learning Agentic AI in 2025,

This is exactly where I’d begin.

Agentic AI is where the most value lies with LLM-based applications.

If you want to build serious, reliable agents that don’t hallucinate their way through a workflow…

You need to start with the right foundation.

Here’s a list of resources that do exactly that

Understand the Fundamentals

1. Google Agents Whitepaper
   lnkd.in/ghcxpVXd
   
2. Google Companion Paper – Advanced Concepts
   lnkd.in/ghcxpVXd
   
3. ReAct: Reasoning + Acting with LLMs
   lnkd.in/gbXxR4Dp
   
4. Agent as a Judge (for evals)
   lnkd.in/gmiUe-nv
   
Learn by Doing –
These Short Courses by Deeplearning . AI Are Fire

AI Agentic Design Patterns with AutoGen
lnkd.in/gE_dMbYa

Multi-AI Agent Systems with crewAI
lnkd.in/gsfXeXH3

AI Agents in LangGraph
lnkd.in/gmgtwpjf

Building Agentic RAG with LlamaIndex
lnkd.in/g9e-kHxF

Github repo with solid implementations + examples

GenAI_Agents by Nir Diamant
lnkd.in/g5HHZrJK

#genai #agenticai #ai -#techtter

1 week ago | [YT] | 5