• Introduction to LLMOps
• CI/CD Pipelines for LLMs
• AWS Services Overview

• Introduction to SageMaker
• SageMaker Deep Dive
• Lab: Setup SageMaker Notebooks

• LangChain Fundamentals
• LangChain for CI Workflows
• Lab: Experimenting with LangChain

• Introduction to Langfuse
• Monitoring Traces, Cost and User Behavior
• Test Suite Creation via Langfuse Datasets
• Real-time Evaluation of LLMs in Production
• Lab: Experimenting with Langfuse

• SageMaker Training Deep Dive
• Model Training on SageMaker with Hugging Face
• SageMaker Pipeline Development
• Lab: Model Training and End-to-End Pipelines with SageMaker

• CD Fundamentals for LLMs
• SageMaker for Continuous Deployment
• Multi-LoRA Adapter Serving
• Lab: Deploying LLMs on SageMaker

Basic Python programming skills, basic understanding of machine learning concepts, and familiarity with AWS services.