School of Cloud Computing Courses

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All School of Cloud Computing Courses

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Free

Nanodegree Cloud Developer

549 Lessons
Intermediate

The cloud has become a key enabler for innovation with …

What you'll learn
This program is designed to prepare students to become Cloud Developers.
This includes job titles such as cloud developer, full stack developer, cloud engineers, and others. Cloud development skills are also helpful for adjacent software engineering roles.
Free

Nanodegree Azure DevOps

191 Lessons
Intermediate

Microsoft Azure is one of the fastest growing cloud service …

Free

Nanodegree Cloud DevOps AWS.

437 Lessons
Intermediate

This program is designed to prepare people to become devops …

What you'll learn
This program is designed to prepare people to become devops engineers.
This includes job titles such as DevOps Engineer, Reliability Engineer, Release Manager, and more.
Obtaining the skills required to be a DevOps will make you extremely valuable across many industries, and in many roles.
As a graduate of this program, you’ll be prepared to seek out roles that run the gamut from generalist to specialist, and all points in between.
Free

Nanodegree Data Engineer

433 Lessons
Intermediate

The data engineering field is expected to continue growing rapidly …

What you'll learn
This program is designed to prepare people to become data engineers. This includes job titles such as analytics engineer, big data engineer, data platform engineer, and others. Data engineering skills are also helpful for adjacent roles, such as data analysts, data scientists, machine learning engineers, or software engineers.
Free

Nanodegree Machine Learning Engineering AWS.

381 Lessons
Intermediate

3 months program Certificate To share in LinkedIn You can …

What you'll learn
Test Python code and build a Python package of their own.
Build predictive models using a variety of unsupervised and supervised machine learning techniques.
Use Amazon SageMaker to deploy machine learning models to production environments, such as a
web application or piece of hardware..
A/B test two different deployed models and evaluate their performance.
Utilize an API to deploy a model to a website such that it responds to user input, dynamically.
Update a deployed model, in response to changes in the underlying data source.
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