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AI252 - Introduction to Python Programming and Red Hat OpenShift AI

Length 5 days
Price $4356 inc GST

Course overview

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Why study this course

Python 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 the basics of using Red Hat OpenShift AI for AI/ML workloads. This course helps students build core skills such as describing the Red Hat OpenShift AI architecture, and organising, executing and testing AI/ML code through hands-on experience. These skills can be applied in all versions of Red Hat OpenShift AI.

This course is based on Python 3, RHEL 9.0, Red Hat OpenShift ® 4.14, and Red Hat OpenShift AI 2.8.

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What you’ll learn

As a result of attending this course, you will understand the foundations of the Red Hat OpenShift AI architecture. You will be able to organise code and configuration by using data science projects, workbenches, and data connections. You will also be able to execute and test code interactively by using Jupyter notebooks. This course is the starting point for the AI/ML learning path in which you will learn how to create and maintain AI/ML workflows.

Red Hat at Lumify Work

Red Hat is the leading provider of open source, enterprise IT solutions. Lumify Work is proud to offer clients the ability to attend over 40 official Red Hat training courses through a resell agreement with Red Hat. Maximise the return on your Red Hat technology investment with lab-intensive, instructor-led training run by Red Hat themselves.

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Who is the course for?

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

Course subjects

An Overview of Python 3
Introduction to Python and setting up the developer environment

Basic Python Syntax
Explore the basic syntax and semantics of Python

Language Components
Understand the basic control flow features and operators

Collections
Write programs that manipulate compound data using lists, sets, tuples and dictionaries

Functions
Decompose your programs into composable functions

Modules
Organise your code using Modules for flexibility and reuse

Classes in Python
Explore Object Oriented Programming (OOP) with classes and objects

Exceptions
Handle runtime errors using Exceptions

Input and Output
Implement programs that read and write files

Data Structures
Use advanced data structures like generators and comprehensions to reduce boilerplate code

Parsing JSON
Read and write JSON data

Debugging
Debug Python programs using the Python debugger (pdb)

Introduction to Red Hat OpenShift AI
Identify the main features of Red Hat OpenShift AI, and describe the architecture and components of Red Hat OpenShift AI.

Data Science Projects
Organise code and configuration by using data science projects, workbenches, and data connections

Jupyter Notebooks
Use Jupyter notebooks to execute and test code interactively

Prerequisites

Experience with Git is required
Experience in Red Hat OpenShift is required, or completion of the Red Hat OpenShift Developer II: Building and Deploying Cloud-native Applications (DO288) course
Basic experience in the AI, data science, and machine learning fields is recommended

THIRD PARTY REGISTRATION

Lumify Work offers certification and training in Enterprise Linux, Ansible, JBoss, OpenShift, OpenStack, and more through our partnership with Red Hat. This arrangement requires Lumify Work to provide your details to Red Hat for course and/or exam registration purposes.

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.