The Machine Learning Pipeline on AWS Training demonstrates the methodologies to utilize the 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 issues.
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 protected 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 pipelines using Amazon SageMaker.
Years of Experience
What you will learn
Utilizing ML pipeline to solve the specified business problems.
Utilizing the ML pipeline to resolve an exact business troubles.
Deploying, Training, evaluating, and tuning a ML model in Amazon SageMaker.
Applying ML to real-life business difficulties after the competition of the course.
Justifying and selecting appropriate ML approaches for particular business difficulties.
Describing few most excellent training so as to secure ML pipelines, cost-optimized, designing scalable in AWS.
Who should attend this course?
The Machine Learning Pipeline On AWS Training is highly advantageous for Data Engineers, Solutions Architects, and Developers who 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.