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Overview
This Building Cloud Computing Solutions at Scale course is offered by Coursera in partnership with Duke University. With more companies leveraging software that runs on the Cloud, there is a growing need to find and hire individuals with the skills needed to build solutions on a variety of Cloud platforms.
Employers agree: Cloud talent is hard to find. This Specialization is designed to address the Cloud talent gap by providing training to anyone interested in developing the job-ready, pragmatic skills needed for careers that leverage Cloud-native technologies.
What you'll learn
Build websites involving serverless technology and virtual machines, using the best practices of DevOps
Create Microservices using technologies like Flask and Kubernetes that are continuously deployed to a Cloud platform: AWS, Azure or GCP
Apply Machine Learning Engineering to build a Flask web application that serves out Machine Learning predictions
Skills you'll gain
- Cloud Computing
- DevOps
- Amazon Web Services
- Computer Programming
- Data Management
- Software Architecture
- Software As A Service
- Software Testing
- Machine Learning
- Software Engineering
- Applied Machine Learning
- Big Data
Programme Structure
Courses included:
- Cloud Computing Foundations
- Cloud Virtualization, Containers and APIs
- Cloud Data Engineering
- Cloud Machine Learning Engineering an MLOps
Key information
Duration
- Part-time
- 6 months
- 5 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Computer Sciences Human Computer Interaction Web Technologies & Cloud Computing View 412 other Short Courses in Web Technologies & Cloud Computing in United StatesWhat students do after studying
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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
- Intermediate level
- Students should have beginner level Linux and intermediate level Python skills.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
- This short course is included with Coursera Plus subscription
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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