Artificial Intelligence

In this comprehensive AI section, you’ll dive deep into the machine learning workflow using Red Hat OpenShift AI (RHOAI).

This section includes:

Getting Connected : Access OpenShift AI Dashboard and set up your environment
Creating Your Project : Set up Data Science projects, data connections, and pipeline servers
Creating a Workbench : Launch Jupyter notebooks environment with custom images
Retraining the Model : Build and execute data science pipelines with GPU acceleration
Model Serving : Deploy your trained model as a REST API endpoint for inference

You’ll work with traffic sign detection using computer vision, transfer learning, and deploy everything using MLOps best practices. By the end, you’ll have a complete AI pipeline running from data preparation to model serving.