The 2nd Edition of this book has arrived, with Agentic AI updates: "Generative AI with LangChain โ Build Production-ready LLM Applications and Advanced Agents using Python and LangGraph" at http://
amzn.to/3JEeS6K v/ @PacktDataML ๐ฆ๐ฑ๐ช๐ฝ ๐จ๐ธ๐พ ๐ฆ๐ฒ๐ต๐ต ๐๐ฎ๐ช๐ป๐ท:
Design and
@kirkdborne
-
LangChain and LangGraph Guide Covers Production LLM Agents
By
–
-
A Handbook Covers AI Leadership Frameworks and Business Strategy
By
–
Chief AI Officer (CAIO) Handbook โ Master AI leadership with strategies to innovate, overcome challenges, & drive business growth: http://
amzn.to/3PZBGxu v/ @PacktDataML โ
#CTO #CDO #GenAI #AgenticAI #GenerativeAI โ
๐๐ฎ๐ ๐๐ฎ๐ช๐ฝ๐พ๐ป๐ฎ๐ผ:
Explore practical frameworks for -
Python Guide Builds Multi-Agent Systems With MCP and A2A
By
–
From @PacktDataML at: http://
amzn.to/40Sp4O9 "Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Python-based Agentic AI Framework with tool use, memory, and multi-agent workflows" Table of Contents:
Introduction to Generative AI & AI agents
Understand How -
Building Autonomous Agents That Reason, Plan and Adapt
By
–
Building Agentic AI Systems: Create intelligent, autonomous AI agents that reason, plan, and adapt >> at http://
amzn.to/4dvxf8Z v/ @PacktDataML ๐๐ฎ๐ ๐๐ฎ๐ช๐ฝ๐พ๐ป๐ฎ๐ผ:
Understand the foundations and advanced techniques of building intelligent, autonomous AI agents
Learn -
Python Guide Introduces Model Context Protocol for AI Agents
By
–
Learn Model Context Protocol [MCP] with Python โ Build Agentic Systems in Python with the new standard for AI Capabilities: http://
amzn.to/4njfsVM by @chris_noring v/ @PacktDataML ๐ฆ๐ฑ๐ช๐ฝ ๐จ๐ธ๐พ ๐ฆ๐ฒ๐ต๐ต ๐๐ฎ๐ช๐ป๐ท:
Understand the MCP protocol and its core components -
Reliable Agent Design Uses Cited RAG and Clear Tool Contracts
By
–
The Agentic AI Playbook 2026 Edition Turns LLMs into Reliable AI Agents: http://
amzn.to/49zjzId Learn how to turn LLMs into Reliable Agents with Cited RAG, Clear Tool Contracts, Review Flows, and Controls that keep responses fast, costs low, and errors down! -
Engineering LLM-Based Agents for Autonomous Reasoning and Action
By
–
Agentic AI Engineering for Systems that Reason and Act Autonomously โ Design, Build, and Prompt LLM-Based Agents for Real-World Deployment: http://
amzn.to/4eXSPnC -
Python Generative AI Guide Covers LLMs, Vector Databases, and Agents
By
–
โGenerative AI with Python: The Developerโs Guide to Pretrained LLMs, Vector Databases, Retrieval Augmented Generation, and Agentic Systemsโ Available at http://
amzn.to/4sa1MiY -
Learning Resources Span Mathematics, Computer Science and AI
By
–
Mathematics, Computer Science, and AI compendium of learning resourcesโฆ H/T @techNmak
-
Neural Network Machine Learning for Scientists and Engineers
By
–
Machine Learning with Neural Networks: An Introduction for Scientists and Engineers (Free PDF)