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Python Essentials for MLOps
Coursera
Course
Unknown

Python Essentials for MLOps

Duke University

Acquire fundamental Python skills to succeed in MLOps roles, covering data types, functions, modules, testing, and data handling with Pandas and NumPy.

Unknown5 weeksEnglish

About 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

What You'll Learn

  • Work with logic in Python using variables and data structures
  • Write, run, and debug tests with Pytest
  • Interact with APIs and SDKs to build command-line tools and automate ML tasks

Prerequisites

  • Basic Python programming knowledge or programming experience

Instructors

N

Noah Gift

Interdisciplinary Data Science (MIDS)

A

Alfredo Deza

Topics

Machine Learning
Numerical Analysis
Data Manipulation
Data Import/Export
Python Programming
Software Testing
Debugging
Test Automation
Pandas (Python Package)
Object Oriented Programming (OOP)

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تعلم الآلة
التحليل العددي
معالجة البيانات
استيراد وتصدير البيانات
برمجة بايثون
اختبار البرمجيات
تصحيح الأخطاء
أتمتة الاختبارات
Pandas (Python Package)
Object Oriented Programming (OOP)

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