Exam Readiness: AWS Certified Machine Learning Singapore.

Exam Readiness- AWS Certified Machine Learning – Specialty Course Overview

Enroll for the 1-day Exam Readiness: AWS Certified Machine Learning – Specialty certification training course from this course Solutions accredited by AWS. The AWS Certified Machine Learning – Specialty exam validates your ability to design, implement, deploy, and maintain Machine Learning (ML) solutions for given business problems. In this course you will 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.

Target Audience:

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

Learning Objectives:

After completing this course, you will be able to:

Identify your strengths and weaknesses in each of the exam domains.

Create a subsequent study plan to prepare for the exam.

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

Module 1: Exam Overview and Test-taking Strategies

Testing center information and expectations

Exam overview and structure

Content domains and question breakdown

Topics and concepts within content domains

Question structure and interpretation techniques

Practice exam questions

Module 2: Domain 1 – Data Engineering

Domain 1.1: Data Repositories for machine learning

Domain 1.2: Identify and implement a data-ingestion solution

Domain 1.3: Identify and implement a data-transformation solution

Walkthrough of study questions

Domain 1 quiz

Module 3: Domain 2 – Exploratory Data Analysis

Domain 2.1: Sanitize and prepare data for modeling

Domain 2.2: Perform featuring engineering

Domain 2.3: Analyze and visualize data for ML

Walkthrough of study questions

Domain 2 quiz

Module 4: Domain 3 – Modeling

Domain 3.1: Frame business problems as machine learning (ML) problems

Domain 3.2: Select the appropriate model(s) for a given ML problem

Domain 3.3: Train ML models

Domain 3.4 Perform hyperparameter optimization

Domain 3.5 Evaluate ML models

Walkthrough of study questions

Domain 3 quiz

Module 5: Domain 4 – ML Implementation and Operations

Domain 4.1: Build ML solutions for performance, availability, scalability, resiliency, and fault tolerance

Domain 4.2: Recommend and implement the appropriate ML services and features for a given problem

Domain 4.3: Apply basic AWS security practices to ML solutions

Domain 4.4: Deploy and operationalize ML solutions Walkthrough of study questions Domain 4 quiz