Oracle Fusion AI Agent Studio Training
Build, test and run AI agents in Oracle Fusion: tools, workflows, agent teams, debugging and agentic apps.
Course Overview
Hands-on Oracle AI Agent Studio training on Release 26C. Build agents on Fusion business objects, REST, MCP and document tools, design workflows and supervisor-led agent teams, add policies and human approvals, then debug, evaluate and promote them the way a real project team does.
This 40 Hours programme is delivered 100% live online by a working Oracle Fusion consultant with working oracle fusion consultants. Every topic is demonstrated live with real-time business scenarios, you complete daily and weekly assignments, and you finish with an end-to-end demo project you can talk through in interviews.
Oracle AI Agents & Redwood, taught in this course
Oracle now ships AI agents across Fusion and Redwood is becoming mandatory, module by module. The trainer walks through these in the live sessions, so you can talk through them in an interview instead of having only heard the words.
What You'll Get
Every topic is taught through actual client-style implementation scenarios and configurations demonstrated live, not textbook theory.
Build an end-to-end implementation project you can walk through in interviews.
Regular daily and weekly assignments so you apply each concept immediately and steadily build confidence.
Every class is live and interactive with a working Oracle Fusion consultant, questions answered on the spot.
Every live session is recorded and available for lifetime revision.
Resume preparation, mock interviews and scenario-based interview question discussions.
Oracle certification guidance plus placement support into our hiring network.
Doubt-clearing support continues even after the batch ends.
What You'll Be Able to Do
- Build AI agents in Oracle AI Agent Studio on Release 26C, from Oracle-delivered templates and from scratch
- Connect agents to Fusion data and other systems with Business Object, External REST, MCP, Connector and Document tools
- Design workflows with the Workflow Builder, and multi-agent teams led by a supervisor agent
- Add document processing, policy models and human approvals so agents stay accurate and auditable
- Build agentic applications that show results as widgets in Fusion
- Debug, evaluate, measure and promote agents from test to production
Detailed Syllabus
12 structured modules, taught live in sequence with real-time business scenarios and hands-on assignments.
- 1
AI and Agent Foundations for Fusion Professionals
- Generative AI, large language models, tokens and prompts
- Retrieval-Augmented Generation (RAG) in plain terms
- Agents versus chatbots versus workflows
- Ask Oracle and Oracle-delivered agents
- When an agent is the right answer, and when OIC, FBDI or a BPM approval still is
- 2
AI Agent Studio Overview, Access and Security
- Key capabilities and the Release 26C experience: visual builders and the builder assistant
- Components: workflows, agents, topics and tools
- Agent types: user-proxy, supervisor and specialist agents
- Access requirements for Financials, HCM, SCM, Procurement and CX
- Design-time versus runtime security and role-based access for agents
- 3
Oracle-Delivered Agents and Templates
- Exploring Oracle-delivered agents and agent templates
- Copying and customizing an out-of-the-box agent
- Editing a topic versus editing the system prompt
- Deploying an agent to the Ask Oracle panel
- 4
Tools and Connectivity
- Business Object tool: read, create, update and delete Fusion records
- Working from the OpenAPI specification and testing calls in Postman
- External REST tool, MCP tool (Model Context Protocol) and the connector library
- Document tool for answers grounded in your documents (RAG)
- Deep Link tool, Email tool and adding your own LLM
- 5
Prompt Engineering, Topics and Expressions
- Writing effective system prompts and topics
- Structured output and avoiding malformed JSON
- Expressions and workflow variables
- Reducing hallucinations and keeping answers grounded
- 6
Workflow Builder
- Creating workflows, settings and workflow triggers
- AI nodes: Agent, LLM, Multi Agent, RAG Document Tool and Workflow
- Tool and data nodes: Business Object Function, External REST, Document Processor, Vector DB Reader and Writer
- Logic and control: If Condition, Switch, For Loop, While Loop, Parallel, Wait and Return
- Code, Set Variables, Reference, Send Email and reusable functions
- 7
Multi-Agent Teams and Supervisor Agents
- Single agent with multiple workers
- Single agent with multiple tools and a human in the loop
- Multiple agents with multiple tools and delegations
- Supervisor agents: routing, delegation and testing in the Playground
- 8
Document Intelligence, Policies and Approvals
- Document Processor node with a document schema
- Vector DB Writer and Reader: knowledge capture, sizing limits and fallbacks
- Policy models in Policy nodes for deterministic decisions
- Human Approval nodes and approval process channels
- 9
Agentic Applications Builder
- Anatomy of an agentic application
- Enabling workflows to generate widgets
- Building and running an agentic application with App Builder
- Best practices for workflow nodes used in agentic applications
- 10
Debugging, Testing, Monitoring and Evaluation
- Debugger: run profiles, breakpoints, stepping through and resuming
- Pinning and editing node output; overriding node configuration
- Monitoring agents, evaluation sets and comparing runs
- Viewing the measured value of agents and tracking usage
- 11
Lifecycle, CLI and Interoperability
- Promoting workflows, supervisor agents and agentic applications between instances
- AI Studio CLI with VS Code and a code assistant
- Allowing external applications to access Fusion agents
- Agent2Agent (A2A) protocol across platforms
- 12
Business Use-Case Labs and Certification Preparation
- Finance: supplier invoice validation and an expense policy assistant
- Procurement: quote to requisition agent
- HCM: absence policy and leave request agent; SCM: item and inventory inquiry agent
- Mapping the course to Oracle's AI Agent Studio certification objectives, practice questions and interview questions
Multi-Agent Accounts Payable Assistant for a Manufacturing Company
You build an end-to-end AI agent solution for a mid-size manufacturing company, the way a real Oracle Fusion project would deliver it.
You finish the course with this project to demo in interviews, real proof, not just a certificate.
Who Can Join / Prerequisites
Working knowledge of any one Oracle Fusion module helps. No prior AI or machine learning background is needed. Suitable for functional and technical Oracle Fusion consultants, OIC developers and architects moving into enterprise AI.
Careers & Salary
We prepare you for Oracle's Fusion AI Agent Studio Foundations Associate and Developer Professional certifications with structured guidance, practice questions and interview preparation.
Frequently Asked Questions
Common questions about the Oracle Fusion AI Agent Studio Training: fees, schedule, prerequisites, certification and placement.
Related Reading
Fees & Batches
Starting fee: ask about EMI & group discounts.
We run a weekday batch (Monday to Friday, 7:30 to 9:00 AM IST) and a weekend batch (Saturday and Sunday, 7:30 to 10:30 AM IST), so you can pick whichever fits your job. Message us for the date of the next batch.
Get fees & next batch