- Data Structures
- Machine Learning
- Debugging
- Program Development
- Numerical Analysis
- Pandas (Python Package)
- Python Programming
- Object Oriented Programming (OOP)
- Command-Line Interface
- Test Automation
- MLOps (Machine Learning Operations)
- NumPy
Python Essentials for MLOps
Completed by Fatma Fendri
October 13, 2023
43 hours (approximately)
Fatma Fendri'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
