AI beyond HRMS. Meet DelveAnt, our AI-native CRM for modern sales teams. Get Early Access for FREE

Learning and Development Agents: Enabling Intelligent Learning Automation in Oracle Learning Cloud

Introduction

As organizations transition towards a skills-based workforce, the need to intelligently manage and enrich learning content has become critical. Oracle Learning Cloud introduces Learning and Development Agents, which leverage AI-driven capabilities to automate skill tagging, content enrichment, and catalog optimization.

These agents enable organizations to scale learning operations efficiently while improving learning relevance and discoverability. This blog provides a step-by-step guide to configuring Learning and Development Agents within Oracle HCM Cloud.

Step 1: Access Learning and Development

Log in with a Learning Administrator or Learning Specialist role.

Navigate to:
My Client Groups → Learning and Development

This work area provides access to all learning configuration and administration capabilities.

Fig 1 : My Client Groups – Learning and Development Tile

 

Step 2: Navigate to Learning and Development Agents

From the Learning and Development work area, select: Learning and Development Agents

This opens a centralized dashboard to create, manage, and monitor all learning-related agents.

Fig 2 : Learning and Development Agents Dashboard

 

Step 3: Review Available HCM Agents

The system provides multiple pre-configured agents, including:

  • Learning Skills Enrichment
  • Learning Description Enrichment
  • Job Skills Enrichment
  • Learning Catalog Translation
  • Skills Library Enrichment
  • Skills Library Training
  • Grow Deployment Accelerator

Each agent automates specific learning and skills-related processes, reducing manual intervention.

Fig 3 : List of Available Learning and Development Agents

 

Step 4: Create a Learning Skills Enrichment Agent

  • Click Add and select Learning Skills Enrichment
  • Enter:
    • Agent Name
    • Description
  • Select a Filtered List to define applicable learning items (e.g., catalog/category)

This step ensures targeted processing of learning content.

Fig 4 : Create Learning Skills Enrichment Agent

 

Step 5: Configure Skill Suggestion Rules

The agent uses AI-based confidence scores (0–100) to determine skill relevance.

Configuration options include:

  • Show in Pending Review if score > threshold → Manual validation
  • Automatically approve if score > threshold → Auto assignment
  • Top skills to suggest → Controls number of skills per item

This ensures a balance between automation and governance.

Fig 5: Skill Suggestion Configuration

Step 6: Run the Agent and Monitor Results

  • Save the configuration
  • Click Run Agent

The agent processes learning items asynchronously and:

  • Auto-approves high-confidence skills
  • Routes others for manual review

This improves efficiency while maintaining data accuracy.

 

 

 

Fig 6: Agent Execution and Results

 

Business Benefits

  • Accelerates skills-based learning initiatives
  • Reduces manual effort in learning administration
  • Enhances learning discoverability and relevance
  • Enables scalable catalog management
  • Supports enterprise-wide talent development strategies

Conclusion

Learning and Development Agents in Oracle Learning Cloud provide a powerful mechanism to automate and optimize learning processes using AI. By leveraging these capabilities, organizations can enhance skill alignment, improve workforce readiness, and drive continuous learning at scale.

AUTHOR- ASHISH SINGH, ORACLE FUSION HCM CONSULTANT

Oracle HCM Cloud Solution

Connect with us for End-to-End Implementation, Enhancement, Updates, and Support for Oracle HCM.

Read More