- Command-Line Interface
- Numerical Analysis
- Test Automation
- Data Manipulation
- Python Programming
- Scripting
- Pandas (Python Package)
- Software Testing
- Machine Learning
- MLOps (Machine Learning Operations)
- Application Programming Interface (API)
- Object Oriented Programming (OOP)
Python Essentials for MLOps
Completed by Rafael Augusto Caracciolo Arone
July 7, 2023
43 hours (approximately)
Rafael Augusto Caracciolo Arone'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
