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AI Agent Engineering: Become an AI Agent Engineer: From Zero to Practitioner
Paperback
Series: Jobs of the Future, Book 1
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Publisher: Independently Published
Pages: 594
Weight: 1.73
Height: 1.20 Width: 6.00 Depth: 9.00
Language: English
The most valuable AI systems being built today are not simply generating answers-they are reasoning, planning, using tools, retrieving information, interacting with software, executing workflows, and automating real business operations.
These systems are known as AI agents.
As companies increasingly adopt agentic AI, demand is growing for professionals who understand how to design, build, deploy, and maintain these systems.
This book was written to provide a complete roadmap into one of the fastest-growing fields in technology.
Rather than focusing on isolated concepts, trendy frameworks, or superficial tutorials, this book takes a structured, end-to-end approach to AI Agent Engineering.
You will learn how modern AI agents actually work, how they are built, and how they are deployed in production environments.
Inside, you'll discover:
- The foundations of Large Language Models (LLMs)
- The anatomy of modern AI agents
- Python for AI Agent Engineering
- APIs, web services, and system integrations
- JSON, structured data, and information architecture
- Databases and memory systems
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering for production environments
- Planning and reasoning architectures
- Tool use and function calling
- Multi-step workflows
- Multi-agent systems
- Agent frameworks and orchestration
- Testing, monitoring, and observability
- Reliability, security, and cost optimization
- Customer support, research, sales, marketing, operations, and coding agents
- Portfolio development and career preparation
- Production architecture design
- Future trends shaping the agent economy
- A complete capstone project that integrates everything into a real-world agent system
Whether you are a developer, entrepreneur, technology professional, student, or AI enthusiast, this book provides the practical knowledge required to move from understanding AI agents to building them.
The future of software is becoming increasingly autonomous.
The professionals who understand how to engineer intelligent agents will be positioned at the center of that transformation.
Start building those skills today.
Keywords: AI Agents, Agentic AI, AI Agent Engineering, Artificial Intelligence, Large Language Models, LLMs, RAG, Prompt Engineering, Multi-Agent Systems, AI Automation, Python, Autonomous Agents, AI Development, AI Infrastructure, Future Careers, Software Engineering.
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