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LinkedIn Learning

Become an AWS Data and DevOps Specialist

via LinkedIn Learning Path

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Overview

Amazon Web Services (AWS) is rapidly becoming one of the most popular platforms among those doing data science work. This learning path provides comprehensive, cohesive skill development for data admins, engineers, and DevOps who will use AWS with data science and business analytics teams.
  • Build your AWS foundational knowledge.
  • Optimize for DevOps work with data science and analytics teams.
  • Extend your AWS skills.

Syllabus

Courses under this program:
Course 1: AWS Essential Training for Architects
-Explore AWS from the architect’s perspective, focusing on the foundations you need to build scalable and reliable cloud-based application architectures.

Course 2: AWS: Monitoring and Reporting
-Take an intermediate-level look at monitoring and reporting for the AWS platform. Learn how to work with CloudWatch, AWS Config, AWS Lambda, and more.

Course 3: Amazon Web Services: Data Services
-Explore the data services on the Amazon cloud. Learn how to configure relational and NoSQL data storage, data warehouses, graph and ledger databases, data lakes, and more.

Course 4: AWS for DevOps: Monitoring, Metrics, and Logging
-Learn about instrumenting production AWS applications. Explore topics from the Monitoring Metrics and Logging domain of the AWS Certified DevOps Engineer – Professional exam.

Course 5: AWS for DevOps: High Availability and Elasticity
-Learn tools, best practices, and design patterns for effective application scaling (elasticity) and high availability for applications running on the AWS cloud.

Courses

Taught by

Jeff Winesett, Shyam Raj and Lynn Langit

Reviews

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