Exam Readiness: AWS Certified Machine Learning – Specialty

Program Code: 3042

Overview
Schedule classes
What you'll learn
Outline
Prerequisites
Who should attend
Certification

Overview

The Amazon Web Services (AWS) authorized Exam Readiness: AWS Certified Machine Learning – Specialty helps participants prepare for the AWS Certified Machine Learning – Specialty certification exam. This credential would validate the participant’s ability to design, implement, deploy, and maintain Machine Learning (ML) solutions for given business problems. This exam readiness workshop explores the exam’s topic areas including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations. The course discusses how to interpret the exam questions in each topic area while also teaching the participants to apply the concepts being tested so that they can eliminate incorrect responses more easily.

Schedule Classes

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Course Delivery

This course is available in the following formats:

Live Classroom
Duration: 4 hours

Live Virtual Classroom
Duration: 4 hours

What You'll learn

Identify your strengths and weaknesses in each of the exam domains
Describe the technical topics and concepts making up each of the exam domains
Summarize the logistics and mechanics of the certification exam and its questions
Identify effective test-taking strategies that can be used to answer exam questions
Create a subsequent study plan to prepare for the exam

Outline

Module 0

Course introduction

Module 1: Exam overview and test-taking strategies

Testing center information and expectations
Exam overview and structure
Content domains and question breakdown
Topics & concepts within content domains
Question structure and interpretation techniques
Practice exam questions

Module 2: Domain 1 – Data Engineering

Data repositories for machine learning
Identify and implement a data ingestion solution
Identify and implement a data transformation solution
Walkthrough of study questions

Module 3: Domain 2 – Exploratory data analysis

Sanitize and prepare data for modeling
Perform feature engineering
Analyze and visualize data for machine learning
Walkthrough of study questions
Domain 2 Quiz

Module 4: Domain 3 – Modeling

Frame business problems as machine learning problems
Select the appropriate models for a given machine learning problem
Train machine learning models
Perform hyperparameter optimization
Evaluate machine learning models
Walkthrough of study questions
Domain 3 Quiz

Module 5: Domain 4 – Machine Learning Implementation and Operations

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 of study questions
Domain 4 Quiz

Module 6

comprehensive study questions

Module 7

Study material

Module 8

Wrap-up

Prerequisites

For this AWS course, participants are recommended to have:

1-2 years of hands-on experience developing, architecting, or running machine learning or deep learning workloads on the AWS cloud
Proficiency in expressing the intuition behind basic machine learning algorithms and performing basic hyperparameter optimization
Understanding of 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

Who Should Attend

This AWS course is intended for machine learning practitioners who are preparing to take the AWS Certified Machine Learning – Specialty exam.

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Certification

The Exam Readiness: AWS Certified Machine Learning – Specialty certification validates an individual’s ability to build, tune, train, and deploy machine learning models using the AWS cloud. This AWS certification is intended for individuals who perform development or a data science role. It justifies the certification holder’s ability to design, implement, deploy, and maintain machine learning (ML) solutions for a given business problem.

This AWS certification exam has 65 questions – either multiple-choice or multiple-response. Participants get 180 minutes to complete the exam. This AWS certification exam is currently offered in English, Japanese, Korean, and Simplified Chinese.