Learn to build, train, and deploy large language models (LLMs) on AWS, leveraging services like Amazon SageMaker and Bedrock.
Overview
This comprehensive course guides developers, data scientists, and AI engineers through the process of building, training, and deploying large language models (LLMs) on the AWS cloud. You'll gain hands-on experience with Amazon SageMaker for model development, fine-tuning, and inference, and explore the capabilities of services like Amazon Bedrock for leveraging foundational models. The curriculum covers everything from data preparation and model architecture selection to deployment strategies and optimization techniques, empowering you to create scalable and robust language model solutions within the AWS ecosystem. Ideal for those looking to specialize in NLP and MLOps on AWS.
Learning Outcomes
Recognize core concepts of LLMs and their applications on AWS
Identify processes for building LLMs on AWS using Amazon SageMaker
Recognize methods for fine-tuning and deploying LLMs on AWS
Identify how to use advanced LLM architectures and techniques
