Who this is for

• New AI Factory users
• Developers and product teams getting started with AI-powered features
• Data teams enabling their organization to use AI Factory
• Platform and Hybrid Manager users preparing for production deployment of Gen AI workloads

General Goals

By completing this path, you will:

• Understand core AI Factory concepts
• Learn the building blocks of Sovereign AI architectures
• Build your first AI Assistant
• Connect Data Sources and build a Knowledge Base
• Configure Rulesets and Tools to extend AI behavior
• Understand how to monitor and govern AI-powered apps

Modules by Focus Area

1. General AI Factory Concepts (All Users)

Goals:

• Understand AI Factory architecture and key patterns
• Learn Sovereign AI principles

Estimated Time: ~20–30 min

Modules:

1. AI Factory Concepts
2. AI Factory Terminology
3. Sovereign AI Explained

2. AI Builders / Application Developers

Goals:

• Build and deploy your first AI Assistant
• Learn how to control behavior with Rulesets
• Connect to Knowledge Bases for RAG

Estimated Time: ~45–60 min

Modules:

1. Create an Assistant
2. Create a Knowledge Base
3. Create a Retriever
4. Create a Ruleset
5. View Threads

3. Data Engineers / Content Teams

Goals:

• Ingest content and manage Data Sources
• Build Libraries and Knowledge Bases
• Configure Hybrid Knowledge Bases

Estimated Time: ~30–45 min

Modules:

1. Connect a Data Source (Data Lake)
2. Connect Structured Data Sources (Google Drive, Web Pages, CSV)
3. Hybrid KB Best Practices
4. Manage Knowledge Bases

4. Advanced Builders / Integration Developers

Goals:

• Build and deploy Tools to enable real-world API integrations
• Understand how to integrate Tools into Assistants and Structures

Estimated Time: ~30–45 min

Modules:

1. Create a Tool
2. Structures Explained
3. Create a Structure

Product-specific Learning Paths

AI Factory on Hybrid Manager

Goals:

• Deploy and manage AI Factory components via Hybrid Manager
• Understand how to monitor and govern AI usage at platform level

Estimated Time: ~20–30 min

Modules:

1. Hybrid Manager Gen AI Workloads
2. Model Library Overview
3. Model Serving Concepts
4. Verify Model Deployments

AI Factory Core (Product / SaaS Mode)

Goals:

• Configure AI Factory in standalone mode
• Build basic Gen AI workloads

Estimated Time: ~20–30 min

Modules:

1. Configure the Data Lake
2. Build your first AI Assistant
3. Connect a Data Source
4. Deploy a Retriever and Knowledge Base

Next steps

Once you complete this 101 Path, continue to:

• AI Factory 201 Path — Intermediate RAG patterns, embedding tuning, governance
• AI Factory 301 Path — Advanced pipelines, Model Serving, multi-agent architectures

Related learning resources

• AI Factory Concepts
• AI Factory Terminology
• Hybrid Manager: Using Gen AI Builder
• Model Serving Concepts
• Knowledge Bases Explained

Build your first AI-powered app today — with your data, your models, and your governance — using EDB PG AI.