Most popular
Free
Machine Learning Engineering AWS Bootcamp
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.
Free
Cloud Developer Bootcamp
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
Cloud DevOps AWS Bootcamp
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.
Trending
Free
Cloud DevOps AWS Bootcamp
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
Machine Learning Engineering AWS Bootcamp
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.
Free
Cloud Developer Bootcamp
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.
Popular Instructors
All Amazon Web Service Courses
Free
Cloud DevOps AWS Bootcamp
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
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
Machine Learning Engineering AWS Bootcamp
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.
