Generative AI on Google Cloud with LangChain โ Design scalable Generative AI solutions with Python, LangChain, and Vertex AI on Google Cloud: http://
amzn.to/4frbkPA v/ @PacktDataML ๐๐ฎ๐ ๐๐ฎ๐ช๐ฝ๐พ๐ป๐ฎ๐ผ:
Turn challenges into opportunities by learning advanced techniques for
@kirkdborne
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Building Generative AI With LangChain and Vertex AI
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Context Engineering and Memory for Multi-Agent Systems
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"Context Engineering for Multi-Agent Systems: Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning" โ at http://
amzn.to/448dSiA v/ @PacktDataML ๐ฆ๐ฑ๐ช๐ฝ ๐จ๐ธ๐พ ๐ฆ๐ฒ๐ต๐ต ๐๐ฎ๐ช๐ป๐ท:
Develop memory models to retain short-term and -
Designing Data Systems for Large Language Model Platforms
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Designing Modern Data Systems: Decision-Focused Software Architecture for Data Engineering, System Design, and Large Language Model Platforms Available at http://
amzn.to/4dNcZRV -
Production LLM Guide Covers Prompting, Fine-Tuning, Reliability, and RAG
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"Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG" >> at http://
amzn.to/411Utz5 by Louis-Franรงois Bouchard @Whats_AI Covers:
LLM Fundamentals, Architecture, & LLMs in Practice
Prompting & Frameworks
RAG & -
Adversarial AI Threat Modeling and Defense With MLSecOps
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"Adversarial AI Attacks, Mitigations, and Defense Strategies โ A cybersecurity professional's guide to AI attacks, threat modeling, and securing AI with MLSecOps" Get the book here: https://
amzn.to/4bMPW88 586 pages from @PacktPublishing -
A Step-by-Step Guide to Building and Scaling LLM Agents
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The Most Complete AI Agentic Engineering System โ Step-by-step guide to build, optimize, and scale LLM agents: https://
amzn.to/3L5p3BS Some highlights of what you will learn to launch and/or boost your Agentic AI Engineering portfolio: A precise definition of AI agents across -
Learning to Build MCP Servers in Python
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Learn Model Context Protocol [MCP] with Python โ Build Agentic Systems in Python with the new standard for AI Capabilities: https://
amzn.to/4njfsVM by @chris_noring ๐ฆ๐ฑ๐ช๐ฝ ๐จ๐ธ๐พ ๐ฆ๐ฒ๐ต๐ต ๐๐ฎ๐ช๐ป๐ท:
Understand the MCP protocol and its core components
Build MCP servers -
Designing LLM Agents That Reason and Act Autonomously
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Agentic AI Engineering for Systems that Reason and Act Autonomously โ Design, Build, and Prompt LLM-Based Agents for Real-World Deployment: https://
amzn.to/4eXSPnC Main Topics:
โข How autonomous systems differ from automation
โข Reasoning loops and core components
โข Designing -
Architecture Patterns for Multi-Agent Systems, RAG and LLMOps
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574 information-packed pages at https://
amzn.to/3MaHy8T "Agentic Architectural Patterns for Building Multi-Agent Systems โ Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems" ๐๐ป๐ช๐ฌ๐ฝ๐ฒ๐ฌ๐ช๐ต ๐๐ฎ๐ช๐ป๐ท๐ฒ๐ท๐ฐ:
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Python Feature Engineering Cookbook Targets Machine Learning Models
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3rd Edition! "Python Feature Engineering Cookbook", complete guidebook with recipes for crafting powerful features for Machine Learning models: http://
amzn.to/4rDWUT9 by @Soledad_Galli โโโโโ
#AI #ML #DataScience #DataScientist