- Data Structures
- Numerical Analysis
- MLOps (Machine Learning Operations)
- Command-Line Interface
- Debugging
- Scripting
- Pandas (Python Package)
- Object Oriented Programming (OOP)
- Data Import/Export
- Test Automation
- Program Development
- Software Testing
Python Essentials for MLOps
Completed by Christopher Alberto Sánchez Vázquez
July 31, 2024
43 hours (approximately)
Christopher Alberto Sánchez Vázquez'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
