- Test Automation
- NumPy
- Program Development
- MLOps (Machine Learning Operations)
- Data Import/Export
- Data Structures
- Pandas (Python Package)
- Machine Learning
- Debugging
- Command-Line Interface
- Numerical Analysis
- Application Programming Interface (API)
Python Essentials for MLOps
Completed by Abdessalem Mami
October 31, 2023
43 hours (approximately)
Abdessalem Mami'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
