Practical Data Science with Amazon Sage Maker

Course objectives

This course is designed to teach you how to:

• Discuss the benefits of different types of machine learning for solving business problems
• Describe the typical processes, roles, and responsibilities on a team that builds and deploys ML systems
• Explain how data scientists use AWS tools and ML to solve a common business problem
• Summarize the steps a data scientist takes to prepare data
• Summarize the steps a data scientist takes to train ML models
• Summarize the steps a data scientist takes to evaluate and tune ML models
• Summarize the steps to deploy a model to an endpoint and generate predictions
• Describe the challenges for operationalizing ML models
• Match AWS tools with their ML function

Course content

Associated certifications and exam

The AWS Certified Machine Learning – Specialty (MLS-C01) exam is intended for individuals who perform an artificial intelligence and machine learning (AI/ML) development or data science role. The exam validates a candidate’s ability to design, build, deploy, optimize, train, tune, and maintain ML solutions for given business problems by using the AWS Cloud. The exam also validates a candidate’s ability to complete the following tasks:

• Select and justify the appropriate ML approach for a given business problem
• Identify appropriate AWS services to implement ML solutions
• Design and implement scalable, cost-optimized, reliable, and secure ML solutions

There are two types of questions on the exam:

• Multiple choice: Has one correct response and three incorrect responses (distractors)
• Multiple response: Has two or more correct responses out of five or more response options

Select one or more responses that best complete the statement or answer the question. Distractors, or incorrect answers, are response options that a candidate with incomplete knowledge or skill might choose. Distractors are generally plausible responses that match the content area.

Unanswered questions are scored as incorrect; there is no penalty for guessing. The exam includes 50 questions that affect your score.