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In Action Ser

Master the art of building production-grade autonomous AI agents.
Reading guide
This is a technical guide; readers should have intermediate Python knowledge before starting.
The series moves from the foundational layers of agentic systems, such as prompt engineering and memory, to advanced deployment and orchestration of multi-agent fleets.

Description

The In Action series provides hands-on, practical guidance for developers looking to master cutting-edge technology. This specific entry focuses on AI and Machine Learning, guiding readers through the rapidly evolving landscape of large language model (LLM)-powered autonomy and the creation of trustworthy agentic systems.

Designed for intermediate Python programmers, the series emphasizes real-world application. From exploring the Model Context Protocol (MCP) to implementing multi-agent collaboration and containerized deployment, this technical guide bridges the gap between theoretical AI concepts and enterprise-level implementation.

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