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AW181: Exam Prep: AWS™ Certified Machine Learning Engineer – Associate

Training: AWS™ - Cloud - Artificial Intelligence

Exam Prep: AWS™ Certified Machine Learning Engineer – Associate (MLA-C01) is a one-day ILT where you learn how to assess your preparedness for the AWS™ Certified Machine Learning Engineer - Associate (MLA-C01) exam. The exam validates a candidate’s ability to build, operationalize, and maintain machine learning (ML) solutions and pipelines by using the AWS™ Cloud.

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Possible course languages: German

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Agenda:

Data Preparation for Machine Learning (ML)
- Ingest and store data
- Transform data and perform feature engineering
- Ensure data integrity and prepare data for modeling

ML Model Development
- Choose a modeling approach
- Train and refine models
- Analyze model performance

Deployment and Orchestration of ML Workflows
- Select deployment infrastructure based on existing architecture and requirements
- Create and script infrastructure based on existing architecture and requirements
- Use automated orchestration tools to set up continuous integration and continuous delivery
  (CI/CD) pipelines

ML Solution Monitoring, Maintenance, and Security
- Monitor model interference
- Monitor and optimize infrastructure costs
- Secure AWS™ resources

AWS™ updates and occasionally retires services and features as part of ongoing development.
While Exam Prep content is regularly updated, there are brief periods when our courses may not reflect the current state of AWS™ services. We recommend checking the latest AWS™ documentation and announcements for the most accurate and up-to-date information about the current availability of services and features.

Objectives:

In the course AW181 AWS™ Certified Machine Learning Engineer – Associate, you will learn to:

Identify the scope and content tested by the AWS™ Certified Machine Learning Engineer -
Associate (MLA-C01) exam
Practice exam-style questions and evaluate your preparation strategy
Examine use cases and differentiate between them

Target audience:

The course AW181 AWS™ Certified Machine Learning Engineer – Associate is intended for individuals who are preparing for the AWS™ Certified Machine Learning Engineer - Associate (MLA-C01) exam.

Prerequisites:

You are not required to take any specific training before taking this course. However, the following prerequisite knowledge is recommended prior to taking the AWS™ Certified Machine Learning Engineer - Associate (MLA-C01) exam.

General IT knowledge
1 year of experience in a related role such as backend software developer, DevOps engineer, data engineer, or data scientist
Basic understanding of common ML algorithms and their use cases
Data engineering fundamentals, including knowledge of common data formats, ingestion, and transformation to work with ML data pipelines
Knowledge of querying and transforming data
Knowledge of software engineering best practices for modular, reusable code development, deployment, and debugging
Familiarity with provisioning and monitoring cloud and on-premises ML resources
Experience with continuous integration and continuous delivery (CI/CD) pipelines and infrastructure as code (IaC)
Experience with code repositories for version control and CI/CD pipelines

Description:

This intermediate-level course prepares you for the AWS™ Certified Machine Learning Engineer - Associate (MLA-C01) exam by providing a comprehensive exploration of the exam topics. You'll delve into the key areas covered on the exam, understanding how they relate to developing AI and machine learning solutions on the AWS™ platform. Through detailed explanations and walkthroughs of examstyle questions, you'll reinforce your knowledge, identify gaps in your understanding, and gain valuable
strategies for tackling questions effectively.
The course includes review of exam-style sample questions, to help you recognize incorrect responses and hone your test-taking abilities. By the end, you'll have a firm grasp on the concepts and practical applications tested on the AWS™ Certified Machine Learning Engineer - Associate (MLA-C01) exam.