Python Essentials for MLOps
Completed by Andres Santiago Acevedo Mancera
January 12, 2025
43 hours (approximately)
Andres Santiago Acevedo Mancera'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
- Category: Object Oriented Programming (OOP)
- Category: MLOps (Machine Learning Operations)
- Category: Model Deployment
- Category: Test Automation
- Category: Code Reusability
- Category: Pandas (Python Package)
- Category: Applied Machine Learning
- Category: Data Structures
- Category: NumPy
- Category: Data Wrangling
- Category: Scripting
- Category: Software Testing
