AI Factory Learning Paths (Hybrid Manager)

Follow these Learning Paths to gain practical skills for running AI Factory capabilities inside Hybrid Manager projects.

Getting Started

AI Factory 101 (Hybrid Manager)

• Understand AI Factory architecture in HCP
• Understand how AI Factory capabilities are deployed in Kubernetes
• Explore Model Library and Model Serving in Hybrid Manager
• Explore Gen AI Builder in Hybrid Manager

Start with:

• AI Factory in Hybrid Manager Explained
• Model Library How-To Guides
• Model Serving How-To Guides

Intermediate

AI Factory 201 (Hybrid Manager)

• Deploy custom AI models via Model Library
• Manage GPU resources for AI model serving
• Deploy InferenceServices with advanced configuration
• Monitor and troubleshoot model serving
• Connect Gen AI applications to served models

Suggested guides:

• Integrate Private Container Registry
• Deploy NVIDIA NIM Containers
• Monitor InferenceServices

Advanced

AI Factory 301 (Hybrid Manager)

• Optimize GPU usage across AI workloads
• Implement multi-model serving patterns
• Use model explainability tools (future)
• Integrate model endpoints with Hybrid Manager Gen AI pipelines
• Manage project- and user-scope for AI Factory features

Continue with:

• Update GPU Resources
• Verify Models and GPU Usage

Learn more

For full conceptual background:

• AI Factory in Hybrid Manager
• AI Factory Hub — Concepts

For Training options:

• Instructor-led and self-paced AI Factory courses (see EDB Training Catalog).