- Software Testing
- Scripting
- Python Programming
- Numerical Analysis
- Object Oriented Programming (OOP)
- Command-Line Interface
- MLOps (Machine Learning Operations)
- Model Deployment
- Data Import/Export
- Test Automation
- Machine Learning
- Debugging
Python Essentials for MLOps
Completed by Everardo Esteban Alvarado Huard
November 15, 2023
43 hours (approximately)
Everardo Esteban Alvarado Huard'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
