Overview

Students from the Machine Learning DevOps Engineer program at Udacity will build the DevOps skills required to automate the various aspects and stages of machine learning model building and monitoring over time.

Nanodegree Skills

Clean Code Principles

Git • Python testing • Model drift • Github collaboration • Coding best practices • Python documentation • Pep8 • Linting • Code refactoring • Test automation • Python exception handling • Logging • Github branches • Code reviews • Unit testing

Building a Reproducible Model Workflow

Machine learning configuration management • Exploratory data analysis • Weights & biases • Data cleaning • Model deployment • Hydra • Data versioning • Non-deterministic data testing • Machine learning pipeline creation • Deterministic data testing • Pytest • MLflow • Data validation • Model testing • Machine learning experiment tracking • Data pre-processing for ML • Model evaluation • Inference pipelines • Data splitting • Model performance metrics

ML Model Scoring and Monitoring

Machine learning ops troubleshooting • Automated machine learning • ML project reporting • Automated model scoring • API configuration • Model drift • Continuous model updating • API requests • Model score recording • Machine learning data recording • Data ingestion • Model deployment

Deploying a Scalable ML Pipeline in Production

Dvc • Continuous integration • Machine learning experiment tracking • Software development automation • Github actions • Continuous deployment • Unit testing • Heroku • FastAPI • API development • Model documentation • Git • Aequitas • API testing • Machine learning pipeline creation • Data slicing • API deployment • Model bias analysis

Programme Structure

Courses include:

Machine Learning DevOps Engineer
Clean Code
Building a Reproducible Model Workflow
ML Model Scoring and Monitoring
Deploying a Scalable ML Pipeline in Production

Key information

Duration

Part-time
- 3 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

Mountain View, United States

Disciplines

Web Technologies & Cloud Computing Machine Learning View 277 other preparation in Machine Learning 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

To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:

Command line interface basics
Basic descriptive statistics
Jupyter notebooks
Basic machine learning
Intermediate Python
REST APIs
Machine learning frameworks in Python
Python for data science

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

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

249 USD / module

≈ 249 USD / module
Out-of-State

249 USD / module

≈ 249 USD / module
Domestic

Applies to you

In-State

249 USD / module

≈ 249 USD / module

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 Machine Learning DevOps 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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