Creating Machine Learning Models with Python and Red Hat OpenShift AI (AI253)
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An introduction to Python programming, to machine learning concepts, and how to use Red Hat OpenShift AI to train ML models.
Request More InfoPython is a popular programming language used by system administrators, data scientists, and developers to create applications, perform statistical analysis, and train AI/ML models. This course introduces the Python language and teaches students basic machine learning concepts, and the different types of machine learning. This course helps students build core skills such as using Red Hat OpenShift AI to train ML models and how to apply best practices when training models through hands-on experience.
This course is based on Python 3, RHEL 9.0, Red Hat OpenShift ® 4.14, and Red Hat OpenShift AI 2.8.
Basics of Python syntax, functions and data types
How to debug Python scripts using the Python debugger (pdb)
Use Python data structures like dictionaries, sets, tuples and lists to handle compound data
Learn Object-oriented programming in Python and Exception Handling
How to read and write files in Python and parse JSON data
Use powerful regular expressions in Python to manipulate text
How to effectively structure large Python programs using modules and namespaces
Introduction to Machine Learning
Training Models
Enhancing Model Training with RHOAI
Who should attend Creating Machine Learning Models with Python and Red Hat OpenShift AI (AI253) Course
- Data scientists and AI practitioners who want to use Red Hat OpenShift AI to build and train ML models
- Developers who want to build and integrate AI/ML enabled applications
- MLOps engineers responsible for installing, configuring, deploying, and monitoring AI/ML applications on Red Hat OpenShift AI
Prerequisites for Creating Machine Learning Models with Python and Red Hat OpenShift AI (AI253) Course
Creating Machine Learning Models with Python and Red Hat OpenShift AI (AI253) Course Outline
Resources
FAQs on Creating Machine Learning Models with Python and Red Hat OpenShift AI (AI253)
Data scientists, AI practitioners, developers building AI/ML applications, and MLOps engineers responsible for installing, configuring, deploying, and monitoring AI/ML applications on Red Hat OpenShift AI.
Experience with Git and Red Hat OpenShift is required (or completion of DO288), and basic familiarity with AI, data science, and machine learning concepts is recommended.
The course covers Python fundamentals (syntax, data structures, functions, OOP, exceptions, file I/O, JSON parsing, debugging) and machine learning basics, including training models and enhancing model training using Red Hat OpenShift AI (RHOAI).
Learners will gain proficiency in Python programming, including debugging and modular code design, while also learning core machine learning concepts, model training workflows, and how RHOAI enhances model training processes.
No, prior ML experience is not mandatory, but basic familiarity with AI, data science, and machine learning is recommended to fully benefit from the course content.