- Data Structures
- Test Automation
- Application Programming Interface (API)
- Model Deployment
- Data Import/Export
- Object Oriented Programming (OOP)
- MLOps (Machine Learning Operations)
- Machine Learning
- Numerical Analysis
- NumPy
- Software Testing
- Scripting
Python Essentials for MLOps
Completed by Tijani Boujdaria
October 25, 2024
43 hours (approximately)
Tijani Boujdaria'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
