Agentic AI Engineering with Python: Designing Autonomous Systems, Tool Using Agents, and Production Ready Workflows (The Applied Agentic AI Engineering Series, Band 1) - Softcover

Inhaltsangabe

Autonomous AI systems require more than prompt engineering—they demand structured orchestration, memory design, tool integration, and controlled execution logic.
In Agentic AI Engineering with Python, Zhao Colton provides a practical engineering guide to building agent-based systems using Python as the orchestration layer.
This book explores:

1. Core principles of agentic architectures
2. Planning and reasoning loops
3. Tool-calling frameworks and structured outputs
4. Memory management and state persistence
5. Multi-agent coordination patterns
6. Secure execution environments
7. API integration and workflow automation
8. Deployment and monitoring considerations

Rather than focusing on theory alone, this volume walks through architectural blueprints and structured implementation patterns suitable for backend systems, automation pipelines, and AI-powered applications.
Readers will gain a clear understanding of how to design AI systems that reason, act, and adapt within controlled boundaries.
Ideal for developers who want to move beyond simple chatbot implementations and build autonomous AI systems grounded in engineering discipline.

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