Python Essentials for MLOps
Completed by Daniel Carvajal Correa
November 28, 2024
43 hours (approximately)
Daniel Carvajal Correa's account is verified. Coursera certifies their successful completion of Python Essentials for MLOps
What you will learn
Work with logic in Python, assigning variables and using different data structures.
Write, run and debug tests using Pytest to validate your work.
Interact with APIs and SDKs to build command-line tools and HTTP APIs to solve and automate Machine Learning problems.
Skills you will gain
- Category: Model Deployment
- Category: Python Programming
- Category: Machine Learning
- Category: Test Script Development
- Category: MLOps (Machine Learning Operations)
- Category: Code Reusability
- Category: Object Oriented Programming (OOP)
- Category: Test Automation
- Category: Software Testing
- Category: Applied Machine Learning
- Category: Scripting
- Category: Data Wrangling
