edX
MOOC / Non-credit
0
MLOps for Scaling TinyML
About this course
This course introduces learners to Machine Learning Operations (MLOps) through the lens of TinyML (Tiny Machine Learning). Learners explore best practices to deploy, monitor, and maintain (tiny) Machine Learning models in production at scale.
B
74/100
CourseAsk score
- What the provider tells you
- 23/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- best practices for deploying machine learning models
- monitoring machine learning models in production
- maintaining tiny machine learning models at scale
Course objectives
- introduce MLOps concepts related to TinyML
- explore deployment strategies for tiny machine learning models
- understand monitoring and maintenance techniques for production systems
Machine Learning
#model deployment
#mlops
#model monitoring
#scalability
#tinyml
#production systems
#best practices
#model maintenance
#machine learning operations
$299.00
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