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

سرفصل های دوره

Join MLOps expert and CTO Noah Gift to learn all about data engineering and prepare for the data engineering portion of the AWS Certified Machine Learning – Specialty (MLS-C01) certification. After walking you through the technology prerequisites and the tools you will use, Noah dives into creating data repositories, identifying and implementing data ingestion and transformation solutions, designing and implementing data warehousing solutions, and enabling data access and discovery. He also presents practical demos of AWS Batch, step functions, EMR Spark, and more.

This course was created by Noah Gift. We are pleased to host this training in our library.

01 - Introduction

01 - Overview

02 - Technology prerequisites

03 - Use SageMaker Studio Lab

04 - Learn AWS CloudShell

05 - The cloud developer workspace advantage

06 - Prototype AI APIs on AWS with CloudShell and Bash

07 - Using AWS Cloud9 with Amazon CodeWhisperer

02 - 1. Create Data Repositories for Machine Learning

01 - Domain one Introduction

02 - Data storage

03 - Determine storage mediums

04 - Use S3 demo

03 - 2. Identify and Implement a Data Ingestion Solution

01 - Job styles batch vs. streaming

02 - Data ingestion pipelines

03 - AWS Batch demo

04 - Step Function demo

04 - 3. Identify and Implement a Data Transformation Solution

01 - Transform data in transit

02 - Handle ML-specific MapReduce

03 - EMR Spark demo

05 - Conclusion

01 - Next steps

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تولید کننده: LinkedIn Learning (Lynda)