AWS: Application Integration and Networking Course is the fifth course of Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate Specialization. This course assists learners in configuring isolated virtual networks that closely resemble a traditional network. Learners can create content delivery network (CDN) services built for high performance, and developer convenience. This course allows learners to decouple microservices and process event-driven applications using Amazon SQS. The course is divided into two modules and Lessons and Video Lectures further segment each module. This course facilitates learners with approximately 2:30-3:00 Hours of Video lectures that provide both Theory and Hands-On knowledge. Also, Graded and Ungraded Quizzes are provided with every module to test the ability of learners.

AWS: Application Integration and Networking

AWS: Application Integration and Networking
This course is part of Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate Specialization

Instructor: Whizlabs Instructor
Access provided by Lok Jagruti University
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
6 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Implement logically isolated virtual network for AWS resources.
Understand message queuing for microservices at a high scale using Amazon SQS.
Scale and optimize web content delivery with the AWS global network infrastructure supporting edge locations.
Skills you'll gain
Tools you'll learn
Details to know

Shareable certificate
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Assessments
4 assignments
Taught in English
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Build your subject-matter expertise
This course is part of the Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

There are 2 modules in this course
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