Overview
This course equips participants with the knowledge to design and deploy machine learning models on AWS. It prepares learners for the AWS Certified Machine Learning – Specialty exam.
What will you learn?
Build, train, and deploy ML models using AWS SageMaker.
Optimise model performance and data pipelines.
Apply deep learning and advanced analytics techniques.
Who is this course for?
Data scientists and ML engineers working on AWS.
Professionals preparing for the AWS Certified Machine Learning – Specialty exam.
Prerequisites
Experience with machine learning frameworks.
Familiarity with Python programming and AWS services.
For more information about our courses, get in touch
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The course identify things we want to change and then figure out the things that need to be done to create the desired outcome. The course helped me in clearly define problems and generate a wider variety of quality solutions. Support more structures analysis of options.
