- Data Structures
- NumPy
- Data Import/Export
- Machine Learning
- Numerical Analysis
- Pandas (Python Package)
- Python Programming
- Command-Line Interface
- Object Oriented Programming (OOP)
- Model Deployment
- MLOps (Machine Learning Operations)
- Test Automation
Python Essentials for MLOps
Completed by Jinge Wang
September 13, 2023
43 hours (approximately)
Jinge Wang'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
