AI-252 Python and OpenShift AI Training Course Online
Length
5 days / 5 weeks
Price
$3999
Days
Mon - Fri
Why Choose This Course
The AI252 Introduction to Python Programming and to Red Hat OpenShift AI course provides a practical starting point for professionals looking to develop skills in Python and cloud‑native AI and machine learning workflows. This instructor‑led training introduces the essential building blocks of Python, including syntax, functions, data types, file handling, object‑oriented programming, debugging, and program structure. It also explains how Python is used for tasks such as automation, data manipulation, and statistical analysis, buildinga strong foundationfor AI and data science work.
Throughout the course, learners explore how to structure code for large-scale projects, apply AI/ML tools, and understand the underlying architecture of Red Hat OpenShift AI. These skills prepare professionals to contribute to AI initiatives, improve model deployment workflows, and support intelligent application development across industries adopting cloud-native AI technologies. The course is relevant for engineers, developers, and data practitioners working in hybrid cloud environments where scalable AI operations are becoming essential.
This trainingemphasizespractical learning through demonstrations and guided exercises, ensuring participants can apply concepts in real-world environments without making absolute claims about outcomes. A certificate of course attendance is included.
Prerequisites
- Experience with Git is required. Experience with Red Hat OpenShift is required, or completion of the Red Hat OpenShift Developer II: Building Kubernetes Applications (DO288) course.
Exam
Books
- AD141 – Introduction to Python Programming course material included.
Delivery
- Live virtual online training attend in real-time from anywhere
Skills Gained
- Describe the Red Hat OpenShift AI architecture
- Write Python programs using core syntax and operations
- Use Python data structures including lists, sets, tuples, and dictionaries
- Debug Python scripts using the Python debugger (pdb)
- Apply object‑oriented programming principles in Python
- Read and write files and parse JSON data using Python
- Structure large Python programs using modules and namespaces
- Use Jupyter Notebooks to execute and test AI/ML code interactively
- Organise code and configurations using data science projects and workbenches
- Establish and manage data connections for AI/ML applications
- Build foundational skills for creating and maintaining AI/ML workflows
- Deploy and manage AI/ML workloads in OpenShift AI environments
Audience
- Data scientists and AI practitioners working on model development using OpenShift AI
- Developers building and integrating AI/ML-enabled applications
- MLOps engineers responsible for deploying and monitoring AI/ML workloads on OpenShift AI
- IT professionals seeking to enhance Python and cloud-native AI workflows
Course Schedule & Pricing
Choose the schedule that fits your life — all options include full course materials & certification support
Full-time immersion for rapid certification readiness.
Balance your career while you upgrade your skills.
Maximum flexibility for busy working professionals.
Outline
- Introduction to Python
- Setting up a Python development environment
- Basic Python syntax
- Python variables, data types, and operators
- Control flow and operators
- Working with strings, lists, tuples, and dictionaries
- Functions in Python
- Modules and code organisation
- Object‑oriented programming with classes and objects
- Exception handling
- File handling and JSON parsing
- Debugging Python scripts with pdb
- Introduction to data analysis libraries
- Data manipulation with Python data structures
- Visualization basics using Python tools
- Introduction to Red Hat OpenShift AI
- Red Hat OpenShift AI architecture
- Configuring data science projects
- Working with workbenches and data connections
- Using Jupyter Notebooks for AI/ML workflows
- Executing and testing AI/ML code
- Building foundational AI/ML workflows
- Integrating Python with OpenShift AI services
- Practical cloud‑native AI development exercises
Terms & Conditions
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Our Partnership
Reliable certification testing is vital for validating professional skills in today’s tech-driven world. As a Pearson VUE Authorised Centre, we provide a secure environment for globally recognised IT exams. This partnership ensures convenient access to certifications with the highest standards of integrity and accuracy.
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