AI067 Red Hat OpenShift AI Technical Overview Course Overview
The AI067 Red Hat OpenShift AI Technical Overview Course equips IT professionals, data scientists, and developers with essential knowledge of AI integration within OpenShift. This course is vital for enhancing skills in deploying AI applications, optimizing workflows, and leveraging Kubernetes for scalable AI solutions, ultimately empowering teams to innovate and drive business transformation.
Course outline & what you'll learn
Overview of OpenShift architecture
- Understanding AI workloads in OpenShift
- Installation prerequisites and methods
- Configuring OpenShift for AI applications
Overview of AI tools and frameworks integrated with OpenShift
- Utilizing OpenShift Pipelines for AI workflows
- Deployment strategies for machine learning models
- Versioning and monitoring models in production
- Best practices for securing AI applications
- Compliance considerations for AI in OpenShift
- Techniques for scaling AI workloads
- Resource management and optimization
- Analyzing successful AI implementations on OpenShift
- Lessons learned from real-world deployments
- Setting up an OpenShift environment for AI projects
- Deploying and managing AI models in a lab setting
- Summary of key learnings
- Resources for further exploration of OpenShift and AI
Why train with Traincrest
This Red Hat course is delivered by Traincrest's certified instructors, live online or in the classroom, with hands-on labs and a 98% exam success rate. Trusted by 500+ companies and 50,000+ students worldwide.