Introduction to Python Programming and to Red Hat OpenShift AI Training

Last Updated: 18 08 2025

This course provides a wide introduction to Python programming, while also focusing on managing the AI/ML workload using Red Hat OpenShift. It begins with the founding aspects of Python, such as syntax, variables, data structures and control flows. These basic concepts gradually develop in more advanced subjects, including working with tasks, modules, and handling data.

The learners will gain hands-on experience on hands in applying Python within AI/ML scenarios. They will learn how to make a simple model and analyse the data, providing a solid basis for further discovery. The course also engages in the architecture and capabilities of Red Hat OpenShift AI, helping students understand how to effectively deploy, execute, and manage the platform.

Through practical exercises and laboratories, students will develop the main skills required to work in the AI/ML environment. This includes machine learning code writing, testing and monitoring. This course emphasises the use of Red Hat OpenShift Tool to streamline the development of the AI model, making it easier to develop and score solutions. By the end, the learners will be equipped with the confidence to deal with advanced AI and ML projects.

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Learning Options for You

  • Live Training (Duration : 16 Hours)
  • Per Participant

Fee: On Request

Course Prerequisites

To make the most of this course, participants should have a basic understanding of computer operation and familiarity with general IT concepts. While no prior programming experience is strictly necessary, a logical mindset and eagerness to learn coding will be highly beneficial. Exposure to cloud computing, Linux fundamentals, or containers is a plus, though not mandatory. 

  • Basic knowledge of computer systems 
  • Familiarity with IT or software concepts 
  • Interest in programming and AI workflows 
  • Prior experience with Linux or cloud platforms (optional but helpful) 

Learning Objectives

This course aims to introduce participants to the fundamentals of Python programming alongside practical exposure to Red Hat OpenShift AI. Learners will build essential Python coding skills while gaining an understanding of how to use OpenShift AI to develop, deploy, and manage artificial intelligence workloads. By integrating foundational programming with modern AI platform capabilities, this course empowers participants to bridge the gap between coding proficiency and scalable AI delivery in enterprise-ready environments. 

Target Audience

  • Aspiring Python programmers 
  • Data science and machine learning enthusiasts 
  • IT professionals exploring AI/ML platforms 
  • Cloud engineers and DevOps practitioners 
  • Application developers interested in container-based AI workflows 
  • Students or graduates seeking a foundation in Python with practical AI deployment skills 

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