- Course
AWS Certified Machine Learning - Specialty (MLS-C01): Modeling
This course will cover the third domain (Modeling) of AWS MLS-C01 certification.
Advanced
AWS Certified Machine Learning - Specialty (MLS-C01): Modeling
Advanced
- Course
AWS Certified Machine Learning - Specialty (MLS-C01): Modeling
This course will cover the third domain (Modeling) of AWS MLS-C01 certification.
Advanced
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This course is included in the libraries shown below:
- AI
- Cloud
What you'll learn
In this course, AWS Certified Machine Learning - Specialty (MLS-C01): Modeling, you’ll learn to select the right algorithms to solve a business problem, train, and evaluate an ML model for optimal performance. First, you’ll explore how to determine when, and when not, to use machine learning. Next, you’ll discover the various built-in algorithms provided by Amazon Sagemaker. Then, you'll understand how to train an ML model using various Amazon SageMaker features. Finally, you’ll learn how to optimally tune hyper-parameters and evaluate the model using the various metrics. When you’re finished with this course, you’ll have the skills and knowledge to effectively build, train, and evaluate an ML model needed to develop a high-quality machine-learning model that produces accurate predictions.
Table of contents
I have worked in IT design, development, and architecture for over a decade for some of the top fortune 100 companies. I have designed and architected enterprise applications and developed scalable and portable software. I am a Google Certified Professional Architect. Critical areas where I have worked are architecture and design using Java, ESB, Tomcat, ReactJS, JavaScript, Linux, Oracle, SVN, GIT, and so on, and cloud technologies, including AWS and GCP.