The AWS Machine Learning Specialty Certification represents an advanced knowledge of implementing machine learning solutions on the platform. In this course, Demystifying the AWS Certified Machine Learning Specialty Exam, you’ll learn how to combine the information gained in the other courses in this path to prepare to add this certification to your resume. First, you’ll explore the exam and understand how it is structured. Second, you’ll review the four domains covered by the exam: data engineering, exploratory data analysis, modeling, and machine learning implementation and operations. Finally, you’ll discover the best manner to leverage the study materials and prepare for the exam. When you’re finished with this course, you’ll have the techniques and resources needed to prepare to take the AWS Machine Learning Specialty certification exam.
Author Name: David Tucker
Author Description:
David is a Webby Award winning cloud development consultant that focuses on cloud native web, mobile, and IoT applications. For over fifteen years as a consultant David has led custom software development on emerging platforms for companies such as FedEx, AT&T, Sony Music, Intel, Comcast, Herman Miller, Principal Financial, and Adobe (as well as many others). David regularly writes and speaks on the digital landscape with published works for O’Reilly and Lynda.com. He has written for Mashable,… more

Table of Contents

• Course Overview
  1min
• Understanding the Exam
  15mins
• Data Engineering Review
  14mins
• Exploratory Data Analysis Review
  17mins
• Data Modeling Review
  19mins
• Machine Learning Operations Review
  17mins