- Command-Line Interface
- Software Testing
- Test Automation
- Data Manipulation
- NumPy
- Machine Learning
- Data Import/Export
- Program Development
- Scripting
- MLOps (Machine Learning Operations)
- Pandas (Python Package)
- Object Oriented Programming (OOP)
Python Essentials for MLOps
Completed by Gabriele Bonvicini
May 12, 2025
43 hours (approximately)
Gabriele Bonvicini'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
