Oracle AI Agent Studio for Fusion Applications

An agent that answers confidently and wrongly is worse than no agent at all. This course treats grounding, evaluation and safety as core engineering concerns rather than compliance overhead, because in an ERP context an agent that misreports a balance or actions the wrong purchase order causes real damage.

Security is the second recurring theme. Agents operate against Fusion data under the calling user's permissions, and a developer who does not understand the Fusion role and privilege model will build agents that either fail silently or expose data they should not. Delegates work through permission scenarios directly.

Delegates build several working agents through the course — an HR enquiry agent grounded in worker data, an agent that invokes a Fusion REST API to complete a transaction, and a summarisation agent over unstructured feedback — then evaluate, secure and deploy each one.

Self-paced course

₹15,000

or start with ₹5,000 and pay the balance within 3 months

Pay in full ₹15,000

○ Lessons, videos and quizzes from ₹5,000
🔒 Lab recordings at ₹15,000
🔒 Certification exam at full payment
○ Optional real lab: ₹5,000 per month (after full payment)

Valid 12 months from your first payment. Refund policy

Responsible	XertApp
Last Update	10/28/2026
Completion Time	16 hours 41 minutes
Members	1

Career Courses Oracle Courses AI & Machine Learning

Module 1 — Agent concepts (empty)

12Lessons · 1 hr 36 min
- 1.1 Video: What an AI agent is, and how it differs from a chatbot or an automation
  
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- 1.1 What an AI agent is, and how it differs from a chatbot or an automation
  
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- 1.2 Video: AI Agent Studio and where it sits in Fusion Applications
  
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- 1.2 AI Agent Studio and where it sits in Fusion Applications
  
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- 1.3 Video: Agent goals, instructions and scope
  
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- 1.3 Agent goals, instructions and scope
  
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- 1.4 Video: Topics and topic naming
  
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- 1.4 Topics and topic naming
  
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- 1.5 Video: Prebuilt agents, agent types and when to extend rather than build
  
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- 1.5 Prebuilt agents, agent types and when to extend rather than build
  
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- 1.L Lab: Defining an agent: goal, scope and topics
  
  Lab New
- Module 1 Quiz: Agent Concepts
  
  New 10 xp
Module 2 — Large language model foundations (empty)

12Lessons · 1 hr 36 min
- 2.1 Video: How large language models work, in the detail a developer needs
  
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- 2.1 How large language models work, in the detail a developer needs
  
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- 2.2 Video: Context windows, tokens and cost
  
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- 2.2 Context windows, tokens and cost
  
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- 2.3 Video: Prompt design for agent instructions
  
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- 2.3 Prompt design for agent instructions
  
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- 2.4 Video: Hallucination: causes, detection and mitigation
  
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- 2.4 Hallucination: causes, detection and mitigation
  
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- 2.5 Video: Model selection within the Oracle stack
  
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- 2.5 Model selection within the Oracle stack
  
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- 2.L Lab: Comparing prompts and models
  
  Lab New
- Module 2 Quiz: Large Language Model Foundations
  
  New 10 xp
Module 3 — Tools (empty)

12Lessons · 1 hr 36 min
- 3.1 Video: Tool types and choosing the right one
  
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- 3.1 Tool types and choosing the right one
  
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- 3.2 Video: The business object tool
  
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- 3.2 The business object tool
  
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- 3.3 Video: Document retrieval, summarisation and file tools
  
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- 3.3 Document retrieval, summarisation and file tools
  
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- 3.4 Video: Action tools that write back to Fusion
  
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- 3.4 Action tools that write back to Fusion
  
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- 3.5 Video: Diagnosing tools that return no results
  
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- 3.5 Diagnosing tools that return no results
  
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- 3.L Lab: Building a business object tool
  
  Lab New
- Module 3 Quiz: Tools
  
  New 10 xp
Module 4 — Knowledge grounding (empty)

12Lessons · 1 hr 36 min
- 4.1 Video: Grounding agents in Fusion Applications data
  
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- 4.1 Grounding agents in Fusion Applications data
  
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- 4.2 Video: Retrieval-augmented generation patterns
  
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- 4.2 Retrieval-augmented generation patterns
  
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- 4.3 Video: Document and unstructured content sources
  
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- 4.3 Document and unstructured content sources
  
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- 4.4 Video: Data freshness and caching
  
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- 4.4 Data freshness and caching
  
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- 4.5 Video: Citation and traceability of agent answers
  
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- 4.5 Citation and traceability of agent answers
  
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- 4.L Lab: Grounding an agent in policy documents
  
  Lab New
- Module 4 Quiz: Knowledge Grounding
  
  New 10 xp
Module 5 — Data connections and integration (empty)

12Lessons · 1 hr 36 min
- 5.1 Video: Fusion Applications REST APIs and endpoint discovery
  
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- 5.1 Fusion Applications REST APIs and endpoint discovery
  
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- 5.2 Video: OAuth 2.0, authentication and the credential store
  
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- 5.2 OAuth 2.0, authentication and the credential store
  
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- 5.3 Video: External REST tools, MCP and connectors
  
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- 5.3 External REST tools, MCP and connectors
  
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- 5.4 Video: Data validation, errors and import or export
  
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- 5.4 Data validation, errors and import or export
  
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- 5.5 Video: Working with Oracle Integration Cloud
  
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- 5.5 Working with Oracle Integration Cloud
  
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- 5.L Lab: Calling an outside service securely
  
  Lab New
- Module 5 Quiz: Data Connections and Integration
  
  New 10 xp
Module 6 — Orchestration and workflow (empty)

12Lessons · 1 hr 36 min
- 6.1 Video: Workflow agents and multi-step orchestration
  
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- 6.1 Workflow agents and multi-step orchestration
  
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- 6.2 Video: Agent teams and delegation between agents
  
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- 6.2 Agent teams and delegation between agents
  
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- 6.3 Video: Human-in-the-loop approval steps
  
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- 6.3 Human-in-the-loop approval steps
  
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- 6.4 Video: Embedding agents in Fusion business processes
  
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- 6.4 Embedding agents in Fusion business processes
  
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- 6.5 Video: Conversation state and context management
  
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- 6.5 Conversation state and context management
  
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- 6.L Lab: A workflow agent with human approval
  
  Lab New
- Module 6 Quiz: Orchestration and Workflow
  
  New 10 xp
Module 7 — Identity, security and permissions (empty)

12Lessons · 1 hr 36 min
- 7.1 Video: Users, roles and privileges in the agent context
  
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- 7.1 Users, roles and privileges in the agent context
  
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- 7.2 Video: Runtime access and who sees which agents
  
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- 7.2 Runtime access and who sees which agents
  
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- 7.3 Video: Data-level security and identity propagation
  
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- 7.3 Data-level security and identity propagation
  
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- 7.4 Video: Federation, encryption, keys and certificates
  
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- 7.4 Federation, encryption, keys and certificates
  
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- 7.5 Video: Auditing agent activity
  
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- 7.5 Auditing agent activity
  
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- 7.L Lab: Roles and access for builders and users
  
  Lab New
- Module 7 Quiz: Identity, Security and Permissions
  
  New 10 xp
Module 8 — Evaluation and responsible AI (empty)

12Lessons · 1 hr 36 min
- 8.1 Video: Evaluation sets and success criteria
  
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- 8.1 Evaluation sets and success criteria
  
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- 8.2 Video: Testing agents systematically
  
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- 8.2 Testing agents systematically
  
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- 8.3 Video: Safety controls and guardrails
  
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- 8.3 Safety controls and guardrails
  
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- 8.4 Video: Bias, fairness and responsible AI obligations
  
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- 8.4 Bias, fairness and responsible AI obligations
  
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- 8.5 Video: Escalation paths when an agent cannot answer
  
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- 8.5 Escalation paths when an agent cannot answer
  
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- 8.L Lab: Building and running an evaluation set
  
  Lab New
- Module 8 Quiz: Evaluation and Responsible AI
  
  New 10 xp
Module 9 — Deployment and observability (empty)

12Lessons · 1 hr 35 min
- 9.1 Video: Promotion across development, test and production
  
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- 9.1 Promotion across development, test and production
  
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- 9.2 Video: Publishing agents to end users
  
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- 9.2 Publishing agents to end users
  
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- 9.3 Video: Monitoring performance and usage
  
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- 9.3 Monitoring performance and usage
  
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- 9.4 Video: Tracing, logging and troubleshooting failing agents
  
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- 9.4 Tracing, logging and troubleshooting failing agents
  
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- 9.5 Video: Iterating on agents after release
  
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- 9.5 Iterating on agents after release
  
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- 9.L Lab: Publish, monitor and troubleshoot
  
  Lab New
- Module 9 Quiz: Deployment and Observability
  
  New 10 xp
Module 10 — Solution design and exam readiness (empty)

12Lessons · 1 hr 36 min
- 10.1 Video: Identifying suitable agent use cases across Fusion
  
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- 10.1 Identifying suitable agent use cases across Fusion
  
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- 10.2 Video: When an agent is the wrong answer
  
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- 10.2 When an agent is the wrong answer
  
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- 10.3 Video: Modular design, reuse, cost and performance
  
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- 10.3 Modular design, reuse, cost and performance
  
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- 10.4 Video: Scenario-based design decisions
  
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- 10.4 Scenario-based design decisions
  
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- 10.5 Video: Exam readiness: domains, routes and a mock exam
  
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- 10.5 Exam readiness: domains, routes and a mock exam
  
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- 10.L Lab: Designing solutions and preparing for the exam
  
  Lab New
- Module 10 Quiz: Solution Design and Exam Readiness
  
  New 10 xp
Final Certification (empty)

1Lessons · 40 min
- Certification Exam: Oracle AI Agent Studio for Fusion Applications
  
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Who should attend

Aimed at practitioners who will build or govern AI agents inside a Fusion estate.

Fusion Applications consultants extending into AI capability
Developers building extensions and integrations for Fusion
Oracle Integration Cloud developers adding agent skills
Technical architects evaluating agent use cases
HR, finance and supply chain systems owners assessing what agents can safely do
Consultants positioning for the earliest wave of Fusion AI projects

Assumed knowledge: familiarity with Oracle Fusion Applications from either a functional or technical perspective, and basic understanding of REST APIs and JSON. No prior machine learning or data science background is required. Delegates entirely new to Fusion should take a Fusion course first, since agents operate against Fusion data and security.

Delivery

Duration
40 hours, delivered as weekday evenings or weekend sessions.

Format
Live instructor-led online, with recordings available to delegates for the duration of the programme. On-site corporate delivery available on request.

Lab environment
Each delegate receives access to a Fusion Applications environment with AI Agent Studio enabled for the duration of the course and for four weeks afterwards.

Included
Course notes, lab guides, exercise solutions and a certificate of completion.

How to enroll

Enrol and pay online on this page. The full fee is ₹15,000 (US$170). You can start with ₹5,000 (US$60) and pay the balance in instalments within 3 months. Pay by card, UPI or net banking, or by PayPal in US dollars. Go to payment. For corporate, on-site or one-to-one training, contact contact@appsolworld.com or call +91 92051 38405.