Duke University

Python Essentials for MLOps

This course is part of MLOps | Machine Learning Operations Specialization

Taught in English

Some content may not be translated

Noah Gift
Alfredo Deza

Instructors: Noah Gift

12,118 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.2

(118 reviews)

Intermediate level

Recommended experience

43 hours (approximately)
Flexible schedule
Learn at your own pace

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.

Details to know

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Assessments

21 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.2

(118 reviews)

Intermediate level

Recommended experience

43 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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This course is part of the MLOps | Machine Learning Operations Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 5 modules in this course

This week, you will learn how to effectively use variables, logic, and Python’s data structures to load, persist, and iterate over data. You will apply these data structures to solve different problems as well as extract data from them.

What's included

19 videos12 readings4 quizzes2 discussion prompts4 ungraded labs

This week, you will learn how to create functions, classes, and methods. These are the basis of almost any program you might create with Python. Functions and classes are useful for organizing code, increasing maintainability and code reuse.

What's included

17 videos12 readings5 quizzes5 ungraded labs

This week, you will learn the basics of Python testing. From a brief overview of the standard library to using a more modern approach with Pytest, one of the most popular testing libraries in Python. By the end of this week, you should be comfortable working with existing tests, creating new tests, and debugging test failures.

What's included

17 videos6 readings4 quizzes3 ungraded labs

This week, you will learn how to work with data using Pandas and NumPy. From loading and reading datasets from different sources to plotting graphs and exploring common problems in data. Pandas will allow you to perform transformations and export your data into different formats, and NumPy will boost your ability to work with numerical data.

What's included

17 videos6 readings4 quizzes3 ungraded labs

This week you’ll grasp the basics of how to create and use APIs with Python using HTTP and command-line tools. We’ll go through all the details you need to know to create your own command-line tools and HTTP APIs to expose Machine Learning models.

What's included

22 videos8 readings4 quizzes4 ungraded labs

Instructors

Instructor ratings
4.3 (48 ratings)
Noah Gift
Duke University
40 Courses92,168 learners
Alfredo Deza
Duke University
29 Courses57,125 learners

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Duke University

Recommended if you're interested in Machine Learning

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4.2

118 reviews

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JY
5

Reviewed on Aug 12, 2023

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Reviewed on Sep 12, 2023

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