- Test Automation
- Data Structures
- Model Deployment
- Object Oriented Programming (OOP)
- Machine Learning
- MLOps (Machine Learning Operations)
- Numerical Analysis
- Command-Line Interface
- Software Testing
- Pandas (Python Package)
- NumPy
- Data Manipulation
Python Essentials for MLOps
Completed by priyanka yenigalla
January 21, 2025
43 hours (approximately)
priyanka yenigalla'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
