Creating Machine Learning Models with Python and Red Hat OpenShift AI (AI253)
Go from Python fundamentals to training machine learning models on Red Hat OpenShift AI.
About this course
Go from Python fundamentals to training machine learning models on Red Hat OpenShift AI. Over five days you will write Python with collections, functions, modules, classes, exceptions, file handling and JSON, debug with pdb, then learn core machine learning concepts and workflows and train models in default and custom workbenches using recommended practices.
What you'll learn
- 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
Curriculum
- Explore the basic syntax and semantics of Python
- Understand the basic control flow features and operators
- Write programs that manipulate compound data using lists, sets, tuples and dictionaries
- Decompose your programs into composable functions
- Organize your code using Modules for flexibility and reuse
- Explore Object Oriented Programming (OOP) with classes and objects
- Handle runtime errors using Exceptions
- Implement programs that read and write files
- Use advanced data structures like generators and comprehensions to reduce boilerplate code
- Read and write JSON data
- Debug Python programs using the Python debugger (pdb)
- Describe basic machine learning concepts, different types of machine learning, and machine learning workflows
- Train models by using default and custom workbenches
- Use RHOAI to apply best practices in machine learning and data science
Who it's for
Developers and data practitioners with Git and OpenShift experience who want to build machine learning models.
Before you start
- Experience with Git is required
- Experience in Red Hat OpenShift is required, or completion of the Red Hat OpenShift Developer II: Building Kubernetes Applications (DO288) course
- Basic experience in the AI, data science, and machine learning fields is recommended
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