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Certificate Online

Microservices at Scale using AWS and Kubernetes Udacity

Highlights
Tuition fee
Unknown
Tuition fee
Unknown
Duration
2 days
Duration
2 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

This Microservices at Scale using AWS and Kubernetes course at Udacity will provide you with a comprehensive understanding of microservices architecture, containers, and Kubernetes in the context of AWS.  

Overview

In the Microservices at Scale using AWS and Kubernetes course at Udacity, you will learn how to build, deploy, and manage containerized applications at scale while utilizing AWS tools and services. 

Features

  • By the end of your journey, you will have a strong foundation in containerization, microservices, and Kubernetes DevOps skills, enabling you to tackle real-world challenges in your professional career.

Programme Structure

Courses include:

  • Containers for DevOps on AWS
  • Microservices for DevOps on AWS
  • Kubernetes on AWS Fundamentals
  • Operationalizing Kubernetes
  • Project: Operationalizing a Coworking Space Microservice

Key information

Duration

  • Part-time
    • 2 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • No prior technical experience required.
  • You will need to be able to communicate fluently and professionally in written and spoken English.

Tuition Fees

Additional Details

  • This program can be paid for with the Udacity subscription.

Funding

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Microservices at Scale using AWS and Kubernetes
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