Web8 feb. 2024 · The AWS Machine Learning Operations (MLOps) framework is an iterative and repetitive process for evolving AI models over time. Like DevOps, practitioners … Web3 feb. 2024 · Professional Certificate in MLOps with AWS: EdX This EdX course is another good option for ML enthusiasts. You will learn to integrate data engineering and data science abilities to deploy machine learning models through the Machine Learning Operations with Amazon Web Services course.
A Practical Guide to MLOps in AWS Sagemaker — Part I
WebWe are currently seeking an experienced MLOps Team Product Owner to join our team and help us develop our cutting-edge computer vision inference server. As the MLOps Team Product Owner, you will be responsible for managing the delivery of our Machine Learning Operations (MLOps) products, collaborating with the development team, and ensuring ... WebI am a professional with experience in Data Science, ML Engineering, MLOps and Data Engineering. My main experience is in large-scale projects that involve the most diverse areasp of data, already having the responsibility of bringing good practices and restructuring projects from scratch to make them scalable and robust over time. Some of … the villa golf course nerang
AWS AI ML Services - MLOps with AWS Technology Coursera
Web9 mrt. 2024 · Amazon Web Services, or AWS, has numerous services dedicated specifically to MLOps, such as the Amazon SageMaker service. Using AWS, an organization that utilizes cloud platforms can easily start to implement MLOps practices in order to make managing the machine learning lifecycle easier. WebCOVID-19 data pipeline on AWS feat. Glue/PySpark, Docker, Great Expectations, Airflow, and Redshift, templated in CF/CDK, deployable via Github Actions. See more posts like this in r/mlops WebBuilding Scalable Edge ML Solutions with NXP i.MX Applications Processors and AWS Cloud Services What You Will Learn Building ML solutions with AWS cloud services such as Amazon SageMaker, AWS IoT Greengrass Integrating cloud services with edge inference solutions from NXP Deploying to an edge i.MX 8M Plus device based board the villa golitsyn