Learn advanced machine learning techniques and algorithms and how to package and deploy your models to a production environment. Gain practical experience using Amazon SageMaker to deploy trained models to a web application and evaluate the performance of your models. A/B test models and learn how to update the models as you gather more data, an important skill in industry.
Students in the Machine Learning Engineer Nanodegree 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 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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- Software Engineering Fundamentals
- Machine Learning in Production
- Machine Learning Case Studies
- Machine Learning Capstone
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- 3 months
Start dates & application deadlines
- StartingApply anytime.
DisciplinesGeneral Engineering & Technology Software Engineering Machine Learning View 144 other Masters in Software Engineering in United States
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We are not aware of any academic requirements for this programme.
We are not aware of any English requirements for this programme.
This Nanodegree program accepts all applicants regardless of experience and specific background.
Intermediate Python programming knowledge, including:
- At least 40hrs of programming experience
- Familiarity with data structures like dictionaries and lists
- Experience with libraries like NumPy and pandas
Intermediate knowledge of machine learning algorithms, including:
- Supervised learning models, such as linear regression
- Unsupervised models, such as k-means clustering
- Deep learning models, such as neural networks
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International1017 USD/fullTuition FeeBased on the original amount of 1017 USD for the full programme and a duration of 3 months.
National1017 USD/fullTuition FeeBased on the original amount of 1017 USD for the full programme and a duration of 3 months.
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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Apply and win up to €10000 to cover your tuition fees.