Exam Readiness: AWS Certified Machine Learning - Specialty (AWSER-ACML-S)

This course prepares you to take the AWS Certified Machine Learning – Specialty exam, which validates your ability to design, implement, deploy, and maintain machine learning (ML) solutions.

In this course, you’ll learn about the logistics of the exam and the mechanics of exam questions, and you’ll explore the exam’s technical domains. You’ll review core AWS services and key concepts for the exam domains:

• Data Engineering
• Exploratory Data Analysis
• Modeling
• Machine Learning Implementation and Operations

You’ll also learn key test-taking strategies and will put them into action, taking multiple study questions. Once you’ve honed your skills, you’ll have the chance to take a quiz that will help you assess your areas of strength and weakness, so that you’ll know what to emphasize in your pre-exam studies.

Course Objectives

By the end of this course, you will be able to:

• Identify your strengths and weaknesses in each exam domain so that you know what to focus on when studying for the exam
• Describe the technical topics and concepts that make up each of the exam domains
• Summarize the logistics and mechanics of the exam and its questions
• Use effective strategies for studying and taking the exam

Intended Audience

This course is intended for:

• ML practitioners who have at least one year of practical experience, and who are preparing to take the AWS Certified Machine Learning – Specialty exam

Prerequisites

We recommend that attendees of this course have:

• Proficiency expressing the intuition behind basic ML algorithms and performing basic hyperparameter optimization
• Understanding of the ML pipeline and its components
• Experience with ML and deep learning frameworks
• Understanding of and experience in model training, deployment, and operational best practices