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Exam Readiness: AWS Certified Machine Learning - Specialty
Exam Readiness: AWS Certified Machine Learning - Specialty
Duration
4 Hours
Course
AWS-215
Available Formats
Classroom Training, Online Training
Course Description
Overview
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, intermediate-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.Objectives
Upon completion of the Exam Readiness: AWS Certified Machine Learning - Specialty course, students will be able to:
- 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
- Allocate your time studying for the AWS Certified Machine Learning – Specialty exam
Audience
- Machine learning practitioners who are preparing to take the AWS Certified Machine Learning – Specialty exam
Prerequisites
- 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
Topics
Module 1: Exam overview and test-taking strategies
- Exam overview, logistics, scoring, and user interface
- Question mechanics and design
- Test-taking strategies
- Data repositories for machine learning
- Identify and implement a data-ingestion solution
- Identify and implement a data-transformation solution
- Walkthrough questions
- Quiz
- Sanitize and prepare data for modeling
- Perform featuring engineering
- Analyze and visualize data for machine learning
- Walkthrough questions
- Quiz
- Frame business problems as machine learning problems
- Select the appropriate model(s) for a given machine learning problem
- Train machine learning models
- Perform hyperparameter optimization
- Evaluate machine learning models
- Walkthrough questions
- Quiz
- Build machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance
- Recommend and implement the appropriate machine learning services and features for a given problem
- Apply basic AWS security practices to machine learning solutions
- Deploy and operationalize machine learning solutions
- Walkthrough questions
- Quiz
- Opportunity to take additional study questions
- Links to AWS blogs, documentation, FAQs, and other recommended study material for the exam
- How to sign up for the exam
- Course summary
- Course feedback
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Self-Paced Training Info
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- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course but at a minimum always contains a copy of the course materials and 30 day access to labs.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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