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AIP-C01: Operational Efficiency and Optimization for GenAI Applications

Generative AI applications often struggle with cost, latency, and scalability in production environments. This course will teach you how to optimize, monitor, and operate high-performance Generative AI applications using Amazon Bedrock.

Advanced
2h

Created by Navidut Tauhid

Last Updated May 26, 2026

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  • Course

AIP-C01: Operational Efficiency and Optimization for GenAI Applications

Generative AI applications often struggle with cost, latency, and scalability in production environments. This course will teach you how to optimize, monitor, and operate high-performance Generative AI applications using Amazon Bedrock.

Advanced
2h

Created by Navidut Tauhid

Last Updated May 26, 2026

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What you'll learn

High inference costs and unpredictable latency are the primary hurdles for production GenAI. In this course, AIP-C01: Operational Efficiency and Optimization for GenAI Applications, you'll gain the ability to scale GenAI workloads while maintaining peak efficiency. First, you'll explore cost-optimization strategies like token pruning and intelligent model selection. Next, you'll discover performance-tuning techniques, including semantic caching, response streaming, and retrieval optimization. Finally, you'll learn how to implement comprehensive monitoring using CloudWatch and Bedrock Model Invocation Logs to track hallucinations and resource drift. When you're finished with this course, you'll have the skills and knowledge of GenAI operations needed to pass the AIP-C01 exam and manage professional-grade AI deployments.

AIP-C01: Operational Efficiency and Optimization for GenAI Applications
Advanced
2h
Table of contents

About the author
Navidut Tauhid - Pluralsight course - AIP-C01: Operational Efficiency and Optimization for GenAI Applications
Navidut Tauhid
21 courses 3.8 author rating 372 ratings

A Unified Communication and Collaboration Consultant, Contact Center Specialist, and a Corporate Trainer.

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