Overview

Join the AWS Machine Learning Engineer programme at Udacity . Learn to deploy models on SageMaker and design automated workflows with AWS Lambda and Step Functions.

Key facts

The AWS Machine Learning Engineer Nanodegree programme, built in collaboration with AWS, is an intermediate-level machine learning engineering course. It's designed to equip you with the skills needed to build and deploy machine learning models using Amazon SageMaker.

The programme covers neural network basics, deep learning fluency, and essential machine learning framework fundamentals. You'll learn through practical courses, including developing your first ML workflow and exploring deep learning topics with computer vision and NLP.

At Udacity, we provide an unparalleled learning experience, combining expert instruction with real-world projects that ensure you can apply your skills immediately. Under the guidance of industry professionals like Matt Maybeno, you'll gain hands-on experience in AWS machine learning, preparing you to excel as an AWS machine learning engineer.

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Programme Structure

Courses include:

Introduction to Machine Learning

Developing your First ML Workflow

Deep Learning Topics with Computer Vision and NLP

Operationalizing Machine Learning on SageMaker

Capstone Build Your Own Machine Learning Portfolio

Check out the full curriculum

Visit programme website

Key information

Duration

Part-time
- 4 days
- Flexible

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

Mountain View, United States

Disciplines

Software Engineering Machine Learning View 543 other programmes in Software Engineering in United States

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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

Prior to enrolling, you should have the following knowledge:

AWS familiarity

Intermediate Python

API proficiency

Jupyter notebooks

Deep learning

Basic Python

Basic probability

You will also need to be able to communicate fluently and professionally in written and spoken English.

Make sure you meet all requirements

Visit programme website

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

499 USD / full

≈ 499 USD / full
Out-of-State

499 USD / full

≈ 499 USD / full
Domestic

Applies to you

In-State

499 USD / full

≈ 499 USD / full

Additional Details

249$ - Monthly Subscription - Unlimited access to all Udacity programs, skills and projects

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

Scholarships Information

Below you will find Master's scholarship opportunities for AWS Machine Learning Engineer.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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About

Overview

Key facts

Get more details

Programme Structure

Check out the full curriculum

Key information

Duration

Start dates & application deadlines

Language

Delivered

Campus Location

Disciplines

Explore more key information

What students do after studying

Academic requirements

English requirements

Other requirements

General requirements

Make sure you meet all requirements

Tuition Fees

International Applies to you

Domestic

Additional Details

Funding

Scholarships Information

Available Scholarships

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