Developing &Deploying AI/MLApplications on OpenShift AI
Master Enterprise AI, MLOps & GenAI on Red Hat OpenShift AI.
Train, test, deploy, and monitor both predictive and generative AI models at enterprise scale.
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Operationalize AI at Enterprise Scale
This comprehensive live training equips you with end-to-end skills to manage the complete life cycle of modern AI applications — from development to production deployment on Red Hat OpenShift AI.
OpenShift AI Platform
A complete MLOps and GenAIOps platform built on Kubernetes — enterprise-grade, production-ready.
Model Lifecycle Management
Train, test, validate, and deploy AI models with full traceability and governance.
Data Science Pipelines
Automate AI/ML workflows using Kubeflow Pipelines and Elyra for repeatable experiments.
GenAI at Scale
Build and serve LLMs, RAG applications, and agentic AI systems with vLLM and OpenVINO.
AI Monitoring & TrustyAI
Monitor deployed models for bias, data drift, and performance with enterprise observability tools.
Production Deployment
Ship complete, intelligent, ethical AI solutions to production with confidence and control.
9 Power-Packed Modules
Each module is a deep dive into enterprise AI — practical, hands-on, and production-focused.
Introduction to OpenShift AI
Identify how OpenShift AI provides a complete MLOps and GenAIOps platform. Configure data science projects for team collaboration.
Using Workbenches for AI/ML Development
Use workbench environments for AI/ML development and connect them to data sources and stores.
Fundamentals of Model Serving
Prepare, deploy, and serve models using OpenShift AI model serving capabilities.
Serving Generative and Predictive AI Models
Deploy and serve AI models with specific runtimes, including OpenVINO for predictive models and vLLM for large language models.
Monitoring AI Models
Monitor deployed models for bias, data drift, and performance using TrustyAI and observability tools for reliable and ethical AI in production.
Introduction to Data Science Pipelines
Create and manage basic data science pipelines using Elyra and Kubeflow SDK to automate fundamental AI/ML workflows.
Advanced Kubeflow Pipelines
Implement advanced pipeline features including container components, artifacts management, Kubernetes configuration, and systematic experimentation.
GenAI Model Selection & Evaluation
Systematically select, optimize, and evaluate large language models using RHOAI's model catalog, compression techniques, and evaluation frameworks.
Building GenAI Applications
Build production-ready GenAI applications using industry patterns including RAG, agentic workflows, and trustworthy AI practices.
Not a Course. A Transformation.
Six pillars that separate this training from everything else on the market.
Enterprise-Ready
Built on Red Hat OpenShift — the gold standard for enterprise Kubernetes. Production-grade from day one.
Hands-On Labs
Every concept backed by real lab exercises. You write code, run pipelines, and deploy models — not just watch.
Production Deployment
Learn to ship AI models to production with monitoring, auto-scaling, and enterprise governance baked in.
Live Projects
Build complete GenAI applications — RAG pipelines, agentic workflows, and LLM APIs — from scratch.
Real-World MLOps
Master Kubeflow Pipelines, model registries, data drift detection, and A/B testing for actual ML systems.
Industry Use Cases
Apply knowledge to real enterprise scenarios across finance, healthcare, and cloud-native AI systems.
Enterprise AI Ecosystem
Master the complete Red Hat OpenShift AI stack — from containers to production ML models.
Red Hat OpenShift AI
Develop & Deploy AI/ML
Product Documentation
System Integration
Containers
ML Models
Technical Overview
Web Frameworks
App Development
Database Connection
Choose Your Path
Red Hat OpenShift AI
Develop & Deploy AI/ML
Product Documentation
System Integration
Containers
ML Models
Technical Overview
Web Frameworks
App Development
Database Connection
Choose Your Path
Choose Your Path
Database Connection
App Development
Web Frameworks
Technical Overview
ML Models
Containers
System Integration
Product Documentation
Develop & Deploy AI/ML
Red Hat OpenShift AI
Choose Your Path
Database Connection
App Development
Web Frameworks
Technical Overview
ML Models
Containers
System Integration
Product Documentation
Develop & Deploy AI/ML
Red Hat OpenShift AI
Enterprise AI Pipeline
The complete MLOps workflow you'll master — from developer workstation to production AI.
Infrastructure
AI Platform
Serving & Monitoring
See What You'll Build
Real tools, real environments, real production systems.
Learn From the Best
Mr Vimal Daga
World Record Holder • Tech Entrepreneur • AI Expert
India's most followed DevOps & Cloud mentor with over 1 million learners worldwide. Red Hat Certified Expert with 22+ years of enterprise technology experience — specializing in Linux, Kubernetes, OpenShift AI, MLOps, GenAIOps, and cutting-edge AI systems. Founder of LinuxWorld Informatics Pvt Ltd.
Technology is not just about tools — it's about empowering humans to solve real-world problems at scale.
— Mr Vimal Daga
What Learners Say
"This training completely changed how I think about AI deployment. The hands-on Kubeflow pipeline exercises and the TrustyAI monitoring module are unlike anything I've seen in other courses. Deployed my first production LLM within 2 weeks of completing this."
Ready to Master
Enterprise AI?
Join the live training that turns AI theory into enterprise production reality. Limited seats available.