- Data Structures
- Data Import/Export
- NumPy
- Numerical Analysis
- Debugging
- Command-Line Interface
- Scripting
- Object Oriented Programming (OOP)
- Model Deployment
- Data Manipulation
- Pandas (Python Package)
- Software Testing
Python Essentials for MLOps
Completed by Jorge Andoni Valverde Tohalino
September 8, 2023
43 hours (approximately)
Jorge Andoni Valverde Tohalino'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
