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.
