- Model Deployment
- Software Testing
- NumPy
- Debugging
- MLOps (Machine Learning Operations)
- Data Manipulation
- Object Oriented Programming (OOP)
- Command-Line Interface
- Test Automation
- Scripting
- Numerical Analysis
- Machine Learning
Python Essentials for MLOps
Completed by mohamed zrig
October 9, 2024
43 hours (approximately)
mohamed zrig'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
