Python for Machine Learning Operations
This course is part of Machine Learning Operations.
This comprehensive course provides a strong foundation in Python programming specifically tailored for Machine Learning Operations. Students learn core Python concepts, data manipulation with Pandas and NumPy, testing methodologies, and practical MLOps automation. The curriculum progresses from basic programming fundamentals to advanced topics including API integration, command-line tool development, and building machine learning APIs, preparing learners for real-world MLOps challenges.
Instructors:
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What you'll learn
Master Python programming fundamentals and data structures
Develop proficiency in data manipulation using Pandas and NumPy
Implement comprehensive testing strategies with pytest
Build command-line tools for ML automation
Create REST APIs using Flask and FastAPI
Work effectively with various ML-related APIs and SDKs
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 5 modules in this course
This comprehensive Python programming course focuses on essential skills for Machine Learning Operations. Beginning with fundamental Python concepts like data types and functions, students progress through advanced topics including testing, data manipulation with Pandas and NumPy, and MLOps automation. The curriculum emphasizes hands-on experience with practical applications, including building APIs, developing command-line tools, and implementing machine learning workflows. Special attention is given to best practices in testing and automation.
Introduction to Python
Module 1
Python Functions and Classes
Module 2
Testing in Python
Module 3
Introduction to Pandas and NumPy
Module 4
Applied Python for MLOps
Module 5
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Machine Learning Operations
Instructor
Adjunct Assistant Professor at Duke University
Dr. Alfredo Deza is an Adjunct Assistant Professor in the Pratt School of Engineering at Duke University, where he teaches courses on machine learning, programming, and data engineering. He has been involved in academia for several years, focusing on innovative teaching methods and practical applications of technology. Dr. Deza co-authored the book Practical MLOps and has published several other works related to Python and machine learning. His teaching includes courses such as Python Bootcamp and advanced data engineering topics, and he actively develops online courses available on platforms like Coursera. In addition to his academic role, Dr. Deza works in developer relations at Microsoft, leveraging his extensive experience in software engineering and cloud computing to enhance educational content and support for students and faculty. He collaborates with various universities worldwide, including Georgia Tech and Carnegie Mellon University, to promote knowledge sharing in the field of technology and data science.
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Frequently asked questions
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