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Master the frameworks shaping the future of AI application development with this comprehensive collection of hands-on guides. From intelligent agents and retrieval-augmented generation to multi-agent orchestration, evaluation, and production deployment, these books teach the practical engineering skills needed to build reliable, scalable AI systems. Whether you're just beginning your journey or looking to deepen your expertise, this bundle provides a complete roadmap to building production-ready AI applications with today's leading Python frameworks.

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Build a complete understanding of modern large language models from the inside out. This bundle takes you from transformer architecture and model training to inference optimization, quantization, and local deployment. Learn how LLMs are built, compressed, accelerated, and run efficiently using real-world tools, practical code, and proven engineering techniques.

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Master the future of AI-powered software development with this complete bundle covering agentic coding, prompt engineering, AI system design, secure deployment, and production operations. Learn how to build, test, govern, and scale intelligent applications using the latest tools and engineering practices shaping the next generation of software.


Explore Large Language Models and AI Agents through diagrams, visual explanations and brief concepts covering transformers, RAG, MCP, memory and enterprise AI.

From your first LLM call to production-grade AI systems. Seven books covering agents, MCP, prompt engineering, evals, cost optimization, and observability — the complete engineering stack for building with AI in 2026. Save over 40% versus buying individually.