Question 1

Why should I enroll?

Accepted Answer

This program is designed to help you take advantage of the growing need for skilled machine learning professionals. Prepare to meet the demand for qualified engineers that can build and deploy machine learning models in production.

Question 2

What jobs will this program prepare me for?

Accepted Answer

The skills you will gain from this Nanodegree program will qualify you for jobs in several industries as countless companies are trying to incorporate machine learning into their practices.

Question 3

How do I know if this program is right for me?

Accepted Answer

The course is for individuals who are looking to advance their engineering careers with cutting-edge machine learning skills.

Question 4

Do I need to apply? What are the admission criteria?

Accepted Answer

No. This Nanodegree program accepts all applicants regardless of experience and specific background.

Question 5

What are the prerequisites for enrollment?

Accepted Answer

A well prepared student will be familiar with Python programming knowledge, including:

At least 40 hours of programming experience
Familiarity with data structures like dictionaries and lists
Experience with libraries like NumPy and pandas
Knowledge of functions, variables, loops, and classes
Exposure to Python through Jupyter Notebooks is recommended
Experience with constructing and calling HTTP API endpoints is recommended

Basic knowledge of machine learning algorithms, including:

Basic understanding of the machine learning workflow
Basic theoretical understanding of  ML algorithms such as linear regression, logistic regression, neural network
Basic understanding of model training and testing processes
Basic knowledge of commonly used metrics for ML models evaluation such as accuracy, precision, recall, and mean square error (MSE)

Question 6

If I do not meet the requirements to enroll, what should I do?

Accepted Answer

Students who do not feel comfortable in the above may consider taking Udacity’s Introduction to Programming or Intermediate Python to obtain prerequisite skills.

Question 7

How is this Nanodegree program structured?

Accepted Answer

The AWS Machine Learning Engineer Nanodegree program consists of content and curriculum to support five projects. We estimate that students can complete the program in five months working 5-10 hours per week.Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.

Question 8

How long is this Nanodegree program?

Accepted Answer

Access to this Nanodegree program runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.

Question 9

Can I switch my start date? Can I get a refund?

Accepted Answer

Please see the Udacity Program Terms of Use and FAQs for policies on enrollment in our programs.

Question 10

What software versions will I need in this program?

Accepted Answer

There are no software and version requirements to complete this Nanodegree program. All coursework and projects can be completed via Student Workspaces in the Udacity online classroom.

AWS Machine Learning Engineer

Course Report

Course Features

Course Description

Highlights

Parameters

Module 1: Introduction to Machine Learning

Module 2: Developing Your First ML Workflow

Module 3: Deep Learning Topics within Computer Vision and NLP

Module 4: Operationalizing Machine Learning Projects on SageMaker

Course FAQs