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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
- 2 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
Machine Learning View 213 other Short Courses in Machine Learning in United StatesWhat students do after studying
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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
- No prior technical experience required.
- You will need to be able to communicate fluently and professionally in written and spoken English.
Tuition Fees
Additional Details
- This program can be paid for with the Udacity subscription.
Funding
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