Course Overview:

Welcome to the AWS MLOps & LLMops Training Course, an immersive learning experience designed for individuals looking to master machine learning operations (MLOps) and large language model operations (LLMops) within the Amazon Web Services (AWS) ecosystem. This comprehensive course provides a deep dive into the tools, practices, and methodologies necessary to efficiently deploy, monitor, and manage machine learning and large language models in production at scale.

Course Objectives:

By the end of this course, participants will:

1. Understand the core principles and practices of MLOps and LLMops, including the importance of automation, monitoring, and governance in the ML lifecycle.
2. Gain proficiency with AWS services and tools relevant to MLOps and LLMops, such as AWS SageMaker, AWS Lambda, Amazon CloudWatch, and AWS IAM.
3. Learn to design, implement, and manage robust, scalable, and secure ML and LLM pipelines on AWS.
4. Acquire hands-on experience through practical labs and projects, applying best practices for versioning, testing, and deploying ML and LLM models.
5. Develop skills to monitor and optimize model performance, manage data and model drift, and ensure compliance with industry standards and regulations.