Ementorhub

What you'll 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'll gain

Application Programming Interface (API)

MLOps (Machine Learning Operations)

Data Import/Export

Data Manipulation

Debugging

NumPy

Pandas (Python Package)

Software Testing

Object Oriented Programming (OOP)

Program Development

Python Programming

Command-Line Interface

Scripting

Numerical Analysis

Data Structures

There are 5 modules in this course

Python Essentials for MLOps (Machine Learning Operations) is a course designed to provide learners with the fundamental Python skills needed to succeed in an MLOps role. This course covers the basics of the Python programming language, including data types, functions, modules and testing techniques. It also covers how to work effectively with data sets and other data science tasks with Pandas and NumPy. Through a series of hands-on exercises, learners will gain practical experience working with Python in the context of an MLOps workflow. By the end of the course, learners will have the necessary skills to write Python scripts for automating common MLOps tasks. This course is ideal for anyone looking to break into the field of MLOps or for experienced MLOps professionals who want to improve their Python skills.

Python Functions and Classes

Testing in Python

Introduction to Pandas and NumPy

Applied Python for MLOps