AI252 Introduction to Python Programming and to Red Hat OpenShift AI Training Course
AI252 Introduction to Python Programming and to Red Hat OpenShift AI Course
The Red Hat AI252 Introduction to Python Programming and Red Hat OpenShift AI course provides a strong foundation for AI and machine learning development. It introduces Python programming, which is essential for AI applications, and teaches how to organise code efficiently using Red Hat OpenShift AI. Participants will gain hands-on experience with data science projects, workbenches, and data connections to streamline AI/ML workflows.
A key focus of the course is working with Jupyter Notebooks, an interactive tool for executing and testing AI/ML code. Learners will explore how to write, run, and refine their Python scripts in a cloud-native environment, making their workflows more efficient and scalable. The course also covers the basics of integrating OpenShift AI with machine learning tools and frameworks.
By the end of the program, participants will have a solid grasp of how to structure and test AI systems, making it an excellent starting point for professionals looking to improve their AI/ML expertise. This course is a basis for more advanced AI learning routes and practical applications in enterprise environments.
This course is available in Melbourne, Sydney, Brisbane, Adelaide, Canberra, Perth, Hobart and throughout Australia Live Virtually.
The prerequisites for the AI252 Introduction to Python Programming and Red Hat OpenShift AI course are
- Basic experience with Git
- Knowledge of Red Hat OpenShift or completion of the DO288 course
- Some familiarity with AI, data science, or machine learning (recommended but not required)
There is no certification exam associated with this AI252 course.
Introduction to Python Programming and to Red Hat OpenShift AI course material provided
- Learn the fundamentals of Red Hat OpenShift AI architecture
- Organize code and configurations using data science projects and workbenches
- Establish and manage data connections for AI/ML applications
- Execute and test code interactively with Jupyter notebooks
- Gain a foundation for building and maintaining AI/ML workflows
- Start the AI/ML learning path with hands-on experience
- Data scientists and AI practitioners using Red Hat OpenShift AI for ML model development
- Developers building and integrating AI/ML-powered applications
- MLOps engineers managing deployment and monitoring of AI/ML applications on OpenShift AI
Here is a concise outline for AI252: Red Hat OpenShift AI for Developers:
- Introduction to Red Hat OpenShift AI
Understand the architecture and key features of OpenShift AI. - Managing Data Science Projects
Organize code, configuration, and data using workbenches and data connections. - Using Jupyter Notebooks
Execute and test code interactively with Jupyter notebooks for AI/ML development. - Building and Training AI/ML Models
Develop and train machine learning models within OpenShift AI. - Deploying AI/ML Applications
Integrate AI/ML models into applications and deploy them on OpenShift AI. - Automating AI/ML Workflows
Learn to create and maintain AI/ML workflows for automation. - Monitoring and Managing AI/ML Workloads
Optimize, monitor, and troubleshoot AI/ML applications in OpenShift AI.
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This training course does not have any exam associated with it
Course material in digital format is included for flexibility and ease of use
Practise questions are provided for better understanding of the key concepts
Attend the course with an instructor at our training centre or from anywhere
Relax, we will beat competitor’s advertised price. Our course has no extra costs
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The supply of this course/package/program is governed by our terms and conditions. Please read them carefully before enrolling, as enrolment is conditional on acceptance of these terms and conditions. Proposed course dates are given, course runs subject to availability and minimum registrations.
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