Agentic Engineering Bundle

This book teaches you how to build computer use agents that perceive screens, reason about tasks, and execute actions across desktop applications and web browsers. Starting from a working prototype in under thirty minutes, you will incrementally add perception pipelines, planning systems, memory, tool integrations, safety guardrails, and production infrastructure. Every chapter builds on the previous one with production-quality code, real-world case studies, and honest discussion of trade-offs and failure modes. If you are a software engineer who wants to move beyond chatbots and build agents that actually do work on a computer, this is the book for you.

This book takes you from foundational concepts through advanced multi-agent architectures, teaching you to design, build, deploy, and maintain sophisticated AI agents using LlamaIndex in real-world production environments. Through three end-to-end projects of increasing complexity, you will learn data ingestion and retrieval at depth, master structured workflows and orchestration patterns, implement robust observability and evaluation, and design systems that handle failure gracefully. Every concept is paired with working code, architectural trade-offs are surfaced honestly, and the emphasis throughout is on what actually works in production.

This book takes you from your very first AI agent to production-grade multi-agent systems using the Google Agent Development Kit (ADK). Every chapter is a hands-on walkthrough with complete, runnable Python code. You will learn the core abstractions that power ADK, how to wire tools into agents, manage memory and context, orchestrate multi-agent workflows, stream real-time responses, integrate retrieval-augmented generation, and deploy your agents securely on Google Cloud. No filler, no quizzes, no theory without implementation. Just practical knowledge you can use from day one.

This book teaches you how to build robust, scalable AI agent applications using the OpenAI Agents SDK. Starting from the very first line of code, you will progress through agent configuration, tool integration, multi-agent orchestration, safety guardrails, observability, and production deployment patterns. Every concept is explained with complete, runnable Python examples and detailed walkthroughs. The book assumes basic Python knowledge but no prior experience with AI agents or the OpenAI platform. By the end, you will be able to design and ship production-grade agentic systems with confidence.

The Claude Agent SDK transforms Anthropic's Claude Code agent harness into a programmable library, giving developers access to the same autonomous tool execution, context management, and multi-agent orchestration that powers one of the most capable AI coding tools in existence. This book takes you from the fundamentals of AI agent architecture through advanced production patterns, with complete code examples in both Python and TypeScript. Whether you are building internal developer tools, customer-facing automation, or enterprise-grade multi-agent systems, you will learn the design patterns, security practices, and operational strategies that separate prototypes from production.

This book teaches you how to design, build, and deploy production-ready multi-agent AI systems using the CrewAI framework. Starting from fundamental concepts and progressing through advanced patterns, you will learn to create autonomous agents that collaborate on complex tasks, integrate with external tools and data sources, and operate reliably at scale. Every concept is explained with clear prose, fully working code examples, and real-world project walkthroughs. Whether you are a beginner exploring AI agents for the first time or an experienced developer looking to master CrewAI's advanced capabilities, this book provides the practical knowledge and engineering discipline needed to ship robust agentic systems.