ML Training
Amazon SageMaker Studio for Data Scientists
This 3 days course prepares experienced data scientists to use the tools that are a part of SageMaker Studio, including Amazon CodeWhisperer and Amazon CodeGuru Security scan extensions, to improve productivity at every step of the ML lifecycle.
Developing Generative AI Applications on AWS
This 2 days course provides an overview of generative AI, planning a generative AI project, getting started with Amazon Bedrock, the foundations of prompt engineering, and the architecture patterns to build generative AI applications using Amazon Bedrock and LangChain.
MLOps Engineering on AWS
This 3 days course demonstrates the use of agile tools, automation, processes, and teamwork to efficiently develop, implement, deploy and operate large scale ML pipelines.
Practical Data Science with Amazon SageMaker
This 1 day course demonstrates the steps to build, train, and deploy an ML model through instructor-led demonstrations and labs.