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Python Essentials for MLOps

MLOps | Machine Learning Operations,

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.
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Rating Not enough ratings
Length 6 weeks
Effort 5 weeks of study, 4-6 hours/week
Starts Jul 3 (earlier today)
Cost $49
From Duke University via Coursera
Instructors Noah Gift, Alfredo Deza
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Science Software Development Machine Learning

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Rating Not enough ratings
Length 6 weeks
Effort 5 weeks of study, 4-6 hours/week
Starts Jul 3 (earlier today)
Cost $49
From Duke University via Coursera
Instructors Noah Gift, Alfredo Deza
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Science Software Development Machine Learning

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