- Command-Line Interface
- Pandas (Python Package)
- Debugging
- MLOps (Machine Learning Operations)
- Numerical Analysis
- Data Import/Export
- Software Testing
- Test Automation
- Machine Learning
- Data Manipulation
- Data Structures
- Object Oriented Programming (OOP)
Python Essentials for MLOps
Completed by CHRISTIAN BECKER
October 17, 2023
43 hours (approximately)
CHRISTIAN BECKER'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
