Chapter 4: Implement MLOps on AWS

Having described the fundamental principles of people, processes, and technology, the next step is to explain how everything can be applied on AWS. In this video, I show the main AWS MLOps services per stage of the maturity model, i.e. initial, repeatable, reliable, scalable phases, and how everything can be linked together based on a reference architecture. In addition, we deep dive into specific concepts such as model monitoring and how can be implemented. In the next videos, I will focus on how MLOps looks like for data scientists by providing a real demo on AWS. MLOps Resources: MLOps on AWS by Amazon SageMaker https://aws.amazon.com/sagemaker/mlops Amazon SageMaker documentation https://tinyurl.com/ytkt7yc5 MLOps foundation roadmap for enterprises - prescriptive guidance blog post https://tinyurl.com/yckn9a3r Secure multi-account MLOPs platform - source code examples https://tinyurl.com/434uc835