- 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.
- 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.
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This course is included in the libraries shown below:
- Cloud
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.