- Scripting
- Data Manipulation
- MLOps (Machine Learning Operations)
- Machine Learning
- Data Structures
- Pandas (Python Package)
- NumPy
- Software Testing
- Test Automation
- Command-Line Interface
- Model Deployment
- Application Programming Interface (API)
Python Essentials for MLOps
Completed by Srinidhi Kadapanatham
June 8, 2024
43 hours (approximately)
Srinidhi Kadapanatham'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
