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AWS Certified Machine Learning – Specialty (MLS-C01) Cert Prep: 1 Data Engineering

Via LinkedIn Learning

LinkedIn Learning based on 146 ratings

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Overview

The “AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep: 1 Data Engineering” course is the first in a series designed to prepare candidates for the AWS Certified Machine Learning Specialty exam. This module focuses on data engineering concepts critical for building scalable and reliable machine learning workflows on AWS. Participants will learn how to collect, ingest, transform, and store data effectively using AWS services such as Amazon S3, AWS Glue, Amazon Kinesis, and AWS Lambda. The course emphasizes best...

Syllabus

Introduction

  • Overview
  • Technology prerequisites
  • Use SageMaker Studio Lab
  • Learn AWS CloudShell
  • The cloud developer workspace advantage
  • Prototype AI APIs on AWS with CloudShell and Bash
  • Using AWS Cloud9 with Amazon CodeWhisperer

1. Create Data Repositories for Machine Learning

  • Domain one: Introduction
  • Data storage
  • Determine storage mediums
  • Use S3 demo

2. Identify and Implement a Data Ingestion Solution

  • Job styles batch vs. streaming
  • Data ingestion pipelines
  • AWS Batch demo
  • Step Function demo

3. Identify and Implement a Data Transformation Solution

  • Transform data in transit
  • Handle ML-specific MapReduce
  • EMR Spark demo

Conclusion

  • Next steps
AWS Certified Machine Learning – Specialty (MLS-C01) Cert Prep: 1 Data Engineering
Go to Class

via LinkedIn Learning

1 hour 29 minutes

Certificate Available

English

On-Demand

Instructor

Noah Gift

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