- Machine Learning
- Application Programming Interface (API)
- Model Deployment
- Data Structures
- Scripting
- Object Oriented Programming (OOP)
- Command-Line Interface
- MLOps (Machine Learning Operations)
- Numerical Analysis
- Debugging
- NumPy
- Software Testing
Python Essentials for MLOps
Completed by David William Barnes
December 8, 2023
43 hours (approximately)
David William Barnes'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
