Generative AI and LLMs on AWS

Master deploying generative AI models like GPT on AWS through hands-on labs. Learn architecture selection, cost optimization, monitoring, CI/CD pipelines, and compliance best practices. Gain skills in operationalizing LLMs using Amazon Bedrock, auto-scaling, spot instances, and differential privacy techniques. Ideal for ML engineers, data scientists, and technical leaders. Course Highlights: Choose optimal LLM architectures for your applications Optimize cost, performance and scalability with auto-scaling and orchestration Monitor LLM metrics and continuously improve model quality Build secure CI/CD pipelines to train, deploy and update LLMs Ensure regulatory compliance via differential privacy and controlled rollouts Real-world, hands-on training for production-ready generative AI Unlock the power of large language models on AWS. Master operationalization using cloud-native services through this comprehensive, practical training program.

• Deploying large language models on AWS
• Selecting optimal LLM architectures and models
• Optimizing LLM cost, performance, and scalability
• Monitoring and logging LLM metrics
• Building reliable LLM CI/CD pipelines
• Ensuring regulatory compliance for LLM deployment
• Hands-on LLM operationalization using Amazon Bedrock