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Overview
Level: Intermediate
In this Machine Learning Engineer for Microsoft Azure nanodegree, students will enhance their skills by building and deploying sophisticated machine learning solutions using popular open source tools and frameworks, and gain practical experience running complex machine learning tasks using the built-in Azure labs accessible inside the Udacity classroom.
Career
Students in the program will learn about machine learning algorithms and crucial deployment techniques, and will be equipped to fill roles at companies seeking machine learning engineers and AI specialists. These skills can also be applied in roles at companies that are looking for data scientists to introduce machine learning techniques into their organization.
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Visit official programme websiteProgramme Structure
- Optimizing an ML Pipeline in AzureUse scikit-learn, Hyperdrive, and AutoML to construct a pipeline, import data, identify optimal models and hyperparameters, and then document and compare findings.
- Operationalizing Machine LearningTrain an AutoML model and deploy it into a production environment by selecting the appropriate targets, enabling Application insights, using logs to identify problems, and leveraging the power of Azure’s pipelines.
- Capstone Project: Training and Deploying a Machine Learning Model in AzureIn the Capstone project, you’ll be able to select your own model and dataset and use the Hyperdrive and AutoML API from AzureML to train and deploy the model as a web service.
Audience
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Visit official programme websiteKey information
Duration
- Part-time
- 3 months
- Flexible
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
General Engineering & Technology Software Engineering Machine Learning View 259 other programmes in Machine Learning in United StatesExplore more key information
Visit official programme websiteAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Experience with basic Python programming (e.g., ability to read and write simple Python scripts; understanding of introductory concepts like variables, loops, modules, conditionals, data types, and functions).
- Some experience with fundamental statistics and algebra, including an understanding of data distributions (e.g., normal distribution) measures of central tendency and variability (e.g., mean and standard deviation) and basic linear equations.
- Udacity also recommends basic familiarity with fundamental machine learning concepts (such as feature engineering and supervised vs. unsupervised learning) and classic machine learning algorithms (such as linear regression and k-means clustering).
- An understanding of the basics of Azure and Docker/Container experience.
- If you'd like to prepare for this Nanodegree program, check out our Introduction to Machine Learning and AI Programming with Python courses.
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Visit official programme websiteTuition Fee
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-
International
1017 USD/fullTuition FeeBased on the tuition of 1017 USD for the full programme during 3 months. -
National
1017 USD/fullTuition FeeBased on the tuition of 1017 USD for the full programme during 3 months.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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