School of Cloud Computing Courses

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Free

Cloud DevOps AWS Bootcamp

434 Lessons
Intermediate

Learn more about this Bootcamp This program is designed to …

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

Cloud Developer Bootcamp

537 Lessons
Intermediate

Learn more about this Bootcamp The cloud has become a …

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

Bootcamp Azure DevOps Specialization

191 Lessons
Intermediate

Learn more about this Bootcamp Microsoft Azure is one of …

Free

Bootcamp Data Engineer Specialization

434 Lessons
Intermediate

Learn more about this Bootcamp The data engineering field is …

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

Machine Learning Engineering AWS Bootcamp

390 Lessons
Intermediate

Learn more about this Bootcamp Strengthen your Machine Learning skills …

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.