H100 GPUs & OpenShift AI
Master AI, ML, and Generative AI deployment on NVIDIA H100 GPUs with Red Hat OpenShift 4 in this hands-on Udemy course. Learn to optimize performance, scale workloads, and reduce costs using cutting-edge hardware and enterprise-grade Kubernetes platforms. Ideal for developers, data scientists, and DevOps engineers seeking production-ready AI/ML solutions.
- Build and deploy AI models on NVIDIA H100 GPUs
- Master OpenShift 4 cluster configuration for AI workloads
- Optimize PyTorch/TensorFlow for distributed training
- Secure GenAI models with enterprise-grade MLOps pipelines
- Monitor GPU utilization and cluster health in real-time
This Udemy course includes free access to GPU-accelerated labs, curated datasets, and ready-to-deploy AI templates. Leverage Udemy coupon discounts for limited-time savings on certification packages. Learn to automate provisioning, use Kubernetes Operators for AI stacks, and implement cost-control strategies for GPU resources.
- Design optimized AI pipelines with Kubeflow and NVIDIA TAO
- Troubleshoot common GPU kernel failures
- Implement hybrid-cloud AI workflows
- Compare H100 performance vs A100/AMD GPUs
Join this free Udemy course promotion to access hands-on projects including Stable Diffusion deployment, LLM fine-tuning, and real-time inference optimization. Udemy coupon holders get exclusive access to NVIDIA-certified lab environments and Red Hat OpenShift 4 sandboxes.
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