Python Essentials for MLOps 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.
Offert par
Python Essentials for MLOps
Duke UniversityÀ propos de ce cours
11 990 consultations récentes
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Niveau intermédiaire
Some experience in working with Python, Git for version control, Docker for containerization and Kubernetes for deployment and scaling.
Approx. 22 heures pour terminer
Anglais
Ce que vous allez apprendre
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.
Compétences que vous acquerrez
- Information Engineering
- MLOps
- Machine Learning
- Python Programming
- Test Automation
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Niveau intermédiaire
Some experience in working with Python, Git for version control, Docker for containerization and Kubernetes for deployment and scaling.
Approx. 22 heures pour terminer
Anglais
Offert par
Programme de cours : ce que vous apprendrez dans ce cours
5 heures pour terminer
Introduction to Python
5 heures pour terminer
19 vidéos (Total 63 min), 3 lectures, 1 quiz
5 heures pour terminer
Python Functions and Classes
5 heures pour terminer
17 vidéos (Total 60 min), 2 lectures, 1 quiz
5 heures pour terminer
Testing in Python
5 heures pour terminer
17 vidéos (Total 66 min)
5 heures pour terminer
Introduction to Pandas and NumPy
5 heures pour terminer
17 vidéos (Total 60 min)
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