- 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 Saswata Roy
January 14, 2024
43 hours (approximately)
Saswata Roy'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
