The Machine Learning Pipeline on AWS Training demonstrates the methodologies to utilize machine learning pipeline to rectify real business issues in a project-based learning environment. This technical course helps professionals gain comprehensive knowledge on each phase of the pipeline from the demonstrations and preparations and utilizing that information to finish a project. It trains individuals to build, evaluate, train, and launch an ML model with the help of Amazon SageMaker that rectifies their major business issue.
This course teaches you to apply machine learning to a real-time issue and use the ML pipeline to overcome a specific business problem. You will demonstrate some of the leading practices for creating scalable, cost-effective, and protection ML pipelines in AWS. It enables you to choose and justify the suitable ML approach for a stated business problem. This course is ideal for developers, solution engineers, or anyone who wants to gain more information related to ML pipeline using Amazon SageMaker.
Contact us to customize this class with your preferred dates, times and location. You can call us on 1-800-961-0337 or Chat with our representative.
The Machine Learning Pipeline On AWS Training is highly advantageous for Data Engineers, Solutions Architects and Developers have little experience with Machine learning fundamentals and ML pipelines. Therefore, professionals who are utilizing Amazon SageMaker and have brief knowledge about SageMaker can enroll in this training.
Basic knowledge of Python programming language Basic understanding of AWS Cloud infrastructure (Amazon S3 and Amazon CloudWatch) Basic understanding of working in a Jupyter notebook environment