- Software Testing
- Data Structures
- Data Import/Export
- Scripting
- MLOps (Machine Learning Operations)
- Object Oriented Programming (OOP)
- NumPy
- Data Manipulation
- Application Programming Interface (API)
- Pandas (Python Package)
- Model Deployment
- Command-Line Interface
Python Essentials for MLOps
Completed by Tam Khac Huynh
October 31, 2024
43 hours (approximately)
Tam Khac Huynh'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
