- Data Structures
- Debugging
- Pandas (Python Package)
- Command-Line Interface
- Numerical Analysis
- Scripting
- Machine Learning
- MLOps (Machine Learning Operations)
- Application Programming Interface (API)
- Software Testing
- Python Programming
- Model Deployment
Python Essentials for MLOps
Completed by Andrea Cantore
January 23, 2025
43 hours (approximately)
Andrea Cantore'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
