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Code Revealed Teaches Agent Capability and Autonomy Assessment
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Everyone Is a Programmer Teaches Building Applications With AI
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Comprehensive โDeep Learningโ textbook Read individual chapters for free online: https://
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Machine Learning Design Patterns Addresses Data Modeling and MLOps
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[Excellent Book] Machine Learning Design Patterns โ Solutions to Common Challenges in Data Preparation, Model-Building, and MLOps: https://
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Interpretable Machine Learning Guide Provides Practical Python Examples
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Agentic Engineering Guide Explains Autonomous Reasoning and Deployment
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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://
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AI Agents in Action Covers Models Prompting MCP and Architecture
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Architectural Patterns Guide Covers Enterprise Agent Systems
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๐ฅ574 information-packed pages from @PacktDataML at https://
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Context Engineering Guide Designs Transparent Multi Agent Memory 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 https://
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A Guide Scales Generative AI on Google Cloud
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Generative AI on Google Cloud with LangChain โ Design scalable Generative AI solutions with Python, LangChain, and Vertex AI on Google Cloud: https://
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