Exam Readiness: AWS Certified Machine Learning - Specialty
Learn how to navigate the exam and review key concepts and topics
The AWS Certified Machine Learning – Specialty exam validates your ability to design, implement, deploy, and maintain Machine Learning (ML) solutions for given business problems. Join this half-day, advanced-level training to learn how to prepare for the exam by exploring the exam’s topic areas including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations. The course reviews how to interpret exam questions in each topic area and teaches you how to apply the concepts being tested so that you can more easily eliminate incorrect responses.
What you'll learn
- Navigate the logistics of the examination process
- Understand the exam structure and question types
- Identify how questions relate to AWS Machine Learning concepts
- Interpret the concepts being tested by the exam question
- And much more
Who should take this course
- Machine learning practitioners
- Anyone preparing to take the AWS Certified Machine Learning – Specialty exam
What experience you'll need
- Proficiency expressing the intuition behind basic machine learning algorithms and performing basic hyperparameter optimization
- Understanding of the machine learning pipeline and its components
- Experience with machine learning and deep learning frameworks
- Understanding of and experience in model training, deployment and operational best practices
Course overview
Level: Advanced
Type: Classroom (virtual and in person)
Length: 4 hours
Languages offered
Need more information?
Download the course outline for more information about what this course covers.
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