- Model Deployment
- Application Programming Interface (API)
- Python Programming
- Object Oriented Programming (OOP)
- Data Manipulation
- Scripting
- Data Structures
- MLOps (Machine Learning Operations)
- Software Testing
- NumPy
- Command-Line Interface
- Pandas (Python Package)
Python Essentials for MLOps
Completed by Avinash Mahech
September 7, 2024
43 hours (approximately)
Avinash Mahech'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
