- Test Automation
- Software Testing
- Machine Learning
- Model Deployment
- Pandas (Python Package)
- Numerical Analysis
- Data Import/Export
- Data Manipulation
- MLOps (Machine Learning Operations)
- Application Programming Interface (API)
- Data Structures
- Debugging
Python Essentials for MLOps
Completed by Juan Camilo Rojas
March 12, 2024
43 hours (approximately)
Juan Camilo Rojas'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
