Expert Training

Scalable Training and Serving Systems for LLM Agents

Name: Scalable Training and Serving Systems for LLM Agents
Brand: Expert Training
SKU: EXT 20260101-27770
Availability: InStock

Original price was: $49.99.Current price is: $4.99.

Learn llm agent systems scaling techniques for efficient training, serving, and deployment of large language model agents.

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Additional information

Authors	(Michael Luo)
Publisher	Expert Training
Published On	0101-01-01
Language	English
File Format	pdf 35.43 MB
Rating	⭐️⭐️⭐️⭐️⭐️ 4.44

SKU: EXT 20260101-27770 Categories: Artificial Intelligence & Machine Learning, E-Books & PDF Guides Tags: AI Agents, AI infrastructure, large language models, LLM systems, MLOps, model serving, Scalable AI Brand: Expert Training

Description

Scalable LLM Agent Systems are at the core of this advanced course designed to help you build, deploy, and manage high-performance training and serving architectures for Large Language Model (LLM) agents. This comprehensive program equips you with the practical knowledge and architectural mindset required to scale LLM agents reliably while maintaining efficiency, security, and cost control.

Course Overview

As organizations increasingly adopt LLM-powered agents, the demand for scalable and production-ready systems continues to grow. Therefore, this course focuses on the real-world challenges of training, serving, and orchestrating LLM agents at scale. Moreover, you will explore modern infrastructure patterns that support high availability and low-latency inference.

Throughout the course, you will learn how to design systems that support distributed training, multi-agent workflows, and dynamic model serving. In addition, you will gain hands-on insights into optimizing resource usage while ensuring consistent performance across workloads.

What You Will Learn

Design scalable training pipelines for LLM agents using modern compute strategies
Implement efficient model serving architectures for real-time and batch inference
Orchestrate multi-agent systems with fault tolerance and observability
Optimize latency, throughput, and cost across distributed environments
Apply best practices for monitoring, logging, and system reliability

Consequently, you will be able to move confidently from experimentation to production-ready LLM agent systems.

Who This Course Is For

This course is ideal for machine learning engineers, AI architects, DevOps professionals, and software developers who want to scale LLM-powered applications. Additionally, data scientists transitioning into production AI systems will benefit from the structured approach presented here.

Tools, Frameworks, and Concepts Covered

You will explore industry-relevant tools and concepts while focusing on system-level thinking. Furthermore, the course emphasizes practical decision-making over theoretical abstraction.

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Why Choose This Course

Unlike introductory AI courses, this program emphasizes scalable architectures and operational excellence. As a result, you will understand not only how LLM agents work but also how they perform under real-world constraints. Moreover, the structured lessons help you apply concepts immediately to enterprise-scale systems.