Nanodegree Machine Learning AWS


Machine Learning Engineer AWS

Strengthen your Machine Learning skills and develop practical experience training, validating and evaluating models with Amazon Web Services

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Strengthen your Machine Learning skills and develop practical experience training, validating and evaluating models with Amazon Web Services

Machine Learning Engineer to drive your earnings


Average salary increase of software engineering students who provided pre- and post-course salaries

September 2022

In this Machine Learning bootcamp you will:

You’ll master the skills necessary to become a successful ML engineer. Learn the data science and machine learning skills required to build and deploy machine learning models in production using Amazon SageMaker.
Advance one’s blockchain skillset to the second generation of blockchain services with smart contracts utilizing the Ethereum network.

Meet the growing demand for machine learning engineers and master the job-ready skills that will take your career to new heights.

Get an edge with human support

Work with a mentor, career coach, and more. They have your back and will hold you accountable.

Verify skills mastery

Project review cycle creates a feedback loop with multiple opportunities for improvement—until the concept is mastered.

Verify skills mastery

Learning accelerates as skilled mentors identify areas of achievement and potential for growth.

What will you learn

In this program, students will enhance their skills by building and implementing sophisticated machine learning solutions using popular open source tools and frameworks, and will gain hands-on experience executing complex machine learning tasks using built-in AWS labs accessible within the classroom of Bootcamp AI.
Fundamentals of Machine Learning on AWS

Machine Learning is a critical business operation for many organizations. Learn how to configure machine learning pipelines on AWS, identify use cases for automated machine learning, and use the AWS ML SDK to design, build, and manage machine learning pipelines on AWS.

Software Engineering Practices.


Upload a Package to PyPI.

Course Project
Build a Python Package

Machine Learning in Production

Learn how to deploy machine learning models to a production environment using Amazon SageMaker.

Introduction to Deployment.

Deploy a Model.

Web Hosting.

Model Monitoring

Updating a Model.

Course Project
Deploy a Sentiment Analysis Model

Machine Learning Case Studies

Apply machine learning techniques to solve real-world tasks; explore data and deploy both built-in and
custom-made Amazon SageMaker models.

Population Segmentation with SageMaker.

Detecting Credit Card Fraud.

Deploying Custom Models.

Time-Series Forecasting.

Course Project
Plagiarism Detection Project


The program gives you the opportunity to use the knowledge gained from this Nanodegree program to solve an interesting problem. You will have to use AWS automated machine learning to solve a task. Finally, you will have to implement the model as a web service and test the endpoint of the model.

Course Project
Capstone Proposal and Project

What is a professional certificate?

Develop the skills necessary to complete the job

Whether you want to start a new career or change your current career, Coursera’s professional certificates help you prepare for the position. Learn at your own pace, at a time and place that is most comfortable for you. Enroll today and discover a new career with a 7-day free trial. You can pause your classes or end the subscription at any time.

Practical projects

Apply your skills to practical projects and develop a portfolio that demonstrates your job readiness to potential employers. You will need to finish the projects correctly to get your certificate.

Get a professional credential

When you complete all the courses in the program, you earn a certificate that you can share with your professional network, as well as access to professional support resources to help you start your new career. Many professional certificates have partners interested in hiring staff who recognize the professional certificate credential, and others can help you prepare for the certificate exam. You can see more information on the pages of the particular professional certificate where it applies.

Program Offer It includes
Real world projects Yes
Mentor Tech Support Yes
Student community Yes
CV support Yes
Freelance Projects Yes
Real World Project
Develop an End-to-End project that will allow you to interact in a real work environment.
Certificate to share
Get a certificate upon completion

100% online

Get started right away and learn at your own pace.


Intermediate – advance

5 months complete

8 – 10 hours / week


Subtitles:  All languages


Machine Learning Engineer AWS


  • 7 days free trial
  • Affordable programs and free trial for 7 days.
  • Maximum flexibility to learn at your own pace.
  • Cancel anytime.


Learn a single topic or skill, and earn a credential
  • Visit an individual course or Specialization page to purchase.
  • Access all the courses included in the learning program
  • Get a certificate upon completion
  • Cash, credit/debit card, Paypal payment
Get started with a 7-day free trial

✓ Dictated by the most important companies and universities.
✓ Affordable programs and free trial for 7 days.
✓ Apply your skills in practical projects
✓ Learn at your own pace
✓ Videos and course readings
✓ Graded tests and assignments
✓ Many programs do not require a degree or experience
✓ Certificate that can be shared after completion

To share in LinkedIn

You can share your Certificates in the Certifications section of your LinkedIn profile, on your printed resume, or in other documents.

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Bootcamp AI is an organization that helps reduce the technological gap in the world, we have professional Nanodegrees curated by experts focused on job placement.

If you are subscribed, you get a 7-day free trial, which you can cancel whenever you want without any type of penalty. After that time, we do not issue refunds. However, you can cancel your subscription whenever you want. See our full refund policy .

Yes! To get started, click on the card of the course you are interested in and sign up. You can enroll and complete the course to obtain a certificate that you can share, or you can access the course as a listener to view the course materials for free. When you subscribe to a course that is part of a Certificate, you automatically subscribe to the entire Certificate. Visit the student dashboard to track your progress.

This course is completely online, so you don’t need to go to a classroom in person. You can access your lessons, readings, and assignments anytime, anywhere via the Internet or your mobile device.

Application review takes at least 15 days.

Continue with the application for the Nanodegree or sign up and start learning today.