Featured byUdacity
Overview
Throughout the Operationalizing Machine Learning on SageMaker course from Udacity students will learn how to maximize output while decreasing costs.
Key facts:
They will also learn how to deploy projects that can handle high traffic, how to work with especially large datasets, and how to approach security in machine learning AWS applications.
Programme Structure
Courses include:
- Manage compute resources in AWS accounts to ensure efficient utilization
- Train models on large-scale datasets using distributed training
- Construct pipelines for high throughput, low latency models
- Design Secure Machine Learning Projects in AWS
- Operationalizing an AWS ML Project
Key information
Duration
- Part-time
- 1 months
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Machine Learning View 265 other Short Courses in Machine Learning in United StatesAcademic 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 obtain additional information about the program, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
- No experience required
Tuition Fee
To always see correct tuition fees
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International
249 USD/yearTuition FeeBased on the tuition of 249 USD per year during 1 months. -
National
249 USD/yearTuition FeeBased on the tuition of 249 USD per year during 1 months. -
In-State
249 USD/yearTuition FeeBased on the tuition of 249 USD per year during 1 months.
Students can save 15% by paying upfront for a four-month subscription for $846.
Funding
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