Online self-learning courses offer autonomy, allowing individuals to learn at their own pace. They provide structured training materials with review exercises to enhance understanding. Utilizing multimedia resources like videos and presentations, learners actively engage with the content. while flexibility enables customization of study schedules. This fosters an environment conducive to effective learning and skill development, accommodating personal commitments.
What if you could build intelligent AI agents that automate tasks, assist users, and support real Oracle business processes? GoLogica Oracle Fusion AI Agent Studio Training gives an understanding of the development, configuration, testing, and implementation of agents within Oracle Fusion Cloud Applications.
The Oracle Fusion AI Agent Studio Online Training includes AI Agents, Agent Teams, Agent Templates, Topics, Instructions, Prompts, Business Objects Tools, Connector Tools, Email Tools, Document Retrieval and RAG, REST API Integration, MCP Tools, Custom LLM Integrations, and Fusion Applications Integration. Learn how agents interact with enterprise data, business objects, APIs, documents, etc., and others. The learners have hands-on experience in designing, orchestrating, and configuring supervisor agents and groups of agents based on their business workflow. It teaches human-in-the-loop processes, tools that can be used, role-based access control, securing the process, testing of the agents, verifying results, troubleshooting, and deploying AI agents in practice. Real-life examples show how such agents may automate business tasks and become more efficient in Oracle Fusion Cloud environments.
Also, this Program includes aspects such as instruction design, prompt design, choosing the right tools, setting up the integration, managing responses, and validating the outputs. Learners are taught to configure agents for processing business tasks, coordinating actions, interacting with tools, and giving precise outputs. This training focuses on practical usage and teaches learners how such intelligent agents work in enterprise applications. It teaches how to secure the process, provide access management, and validate agents' work.
Oracle Fusion AI Agent Studio Certification Training is advisable for Oracle functional consultants, Oracle technical consultants, Oracle developers, Oracle Cloud professionals, and Oracle application experts, and those wanting to develop their enterprise-grade AI expertise. It will help you build an even better understanding of Oracle AI solutions.
Ready to develop practical Oracle AI skills? Start your Oracle Fusion AI Agent Studio Training with GoLogica and gain hands-on learning, expert guidance, and job-relevant knowledge. Take a look at future batches to advance your career in enterprise AI.
Salary Trends:
According to Glassdoor, Oracle AI professionals in India earn approximately 8 to15 LPA, while US AI Engineers earn around $118,000 to $185,000 annually. Actual salaries depend on experience, technical skills, and enterprise project exposure.
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Oracle Fusion AI Agent Studio Curriculum
Introduction to Oracle Fusion Cloud Applications.
Fundamentals of Generative AI and Agentic AI.
Understanding AI agents and agent teams.
Oracle AI Agent Studio architecture.
Types of agents and agentic workflows.
Enterprise AI use cases across HCM, ERP, SCM, and CX.
AI Agent Studio navigation and workspace.
Access requirements and role permissions.
Understanding prebuilt agent templates.
Creating custom agents and agent teams.
Exploring topics, tools, and instructions.
Agent configuration and environment management.
Creating AI agents from scratch.
Configuring agent names, roles, and descriptions.
Writing agent instructions and system prompts.
Defining topics and business context.
Configuring agent capabilities and actions.
Customizing prebuilt Oracle agents.
Testing agent responses.
Prompt engineering fundamentals.
Designing effective business prompts.
System instructions and context management.
Conversation flow configuration.
Managing agent responses and output formats.
Prompt testing and optimization.
Business Object tools.
Document tools and knowledge sources.
External REST tools.
Deep Link tools.
Email tools.
Connector tools.
MCP tool integration.
Credentials and connection configuration.
Introduction to RAG architecture.
Document-based knowledge retrieval.
Uploading and configuring enterprise documents.
Vector database reader and writer nodes.
Document processing and semantic search.
Grounding AI responses in business information.
Testing retrieval accuracy.
Introduction to Workflow Builder.
Creating workflows from scratch.
Understanding workflow nodes.
LLM, Agent, and Multi-Agent nodes.
Business Object and External REST nodes.
Code and Set Variables nodes.
If Condition, Switch, and Loop nodes.
Human Approval and Send Email nodes.
Workflow triggers and execution.
Introduction to multi-agent architecture.
Creating supervisor agent teams.
Workflow-based agent orchestration.
Agent delegation and coordination.
Managing context between agents.
Multi-agent communication.
Human-in-the-loop approval.
Advanced business automation scenarios.
Introduction to Agentic Applications.
Understanding application architecture.
Creating agentic applications.
Connecting workflows and agents.
Configuring application panels and actions.
Passing context between components.
Building interactive business applications.
Testing and publishing applications.
HCM employee assistance agents.
ERP finance and invoice assistance agents.
SCM procurement and supply chain agents.
CX customer support agents.
Business process automation.
Cross-functional agent workflows.
Customizing agents for business requirements.
Oracle Fusion security fundamentals.
Roles, privileges, and permissions.
Business Object security.
External connection authentication.
Secure data access.
Human approval mechanisms.
AI governance and responsible AI.
AI Agent Studio debugger.
Testing agent responses and actions.
Creating and using run profiles.
Inspecting workflow node outputs.
Setting breakpoints and troubleshooting.
Debugging workflow conditions.
Evaluating agent accuracy and performance.
Monitoring and continuous improvement.
Agent publishing and deployment.
Promoting published agents.
Managing development environments.
Oracle AI Studio CLI.
VS Code development concepts.
Code Assistant for workflow development.
CI/CD integration concepts.
External agent access.
Agent2Agent (A2A) protocol.
The GoLogica certification is widely acknowledged, enhancing the credibility of your resume and opening doors to high-level positions in leading multinational corporations globally.
At the end of this course, you will receive a course completion certificate which certifies that you have successfully completed GoLogica training in Oracle Fusion AI Agent Studio technology.
You will get certified in Oracle Fusion AI Agent Studio by clearing the online examination with a minimum score of 70%.
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Oracle Fusion AI Agent Studio Objectives
It is a learning process dedicated to the creation, configuration, testing, and deployment of agents in Oracle Fusion Cloud applications through business cases.
The Oracle consultants, developers, functional professionals, administrators, cloud experts, and people interested in learning how to build enterprise AI are the target audience.
No, AI isn't something that you need to be an expert in. Experience with Oracle Fusion applications, cloud, or processes would be helpful.
I will gain insight into agent theory, workflow, topics, instructions, tools and templates, integration, testing, security, human approval, and deployment in AI Agent Studio.
Yes, there will be exercise practice to learn how to configure agents, create a workflow, use tools, test, validate, and build enterprise cases.
AI agents are configurable entities that are capable of understanding the request, using the tools and topics, communicating with Fusion data, and participating in business processes.
Workflows handle interactions in business scenarios, automate processes, and carry out multi-step operations by directing a coordinated sequence of one or more agents and nodes.
This learning process may include creating an agent, creating a purpose for the agent, equipping the agent with tools, giving instructions, and programming the agent's behaviour.
Yes. Oracle provides pre-built agent templates which you could further tailor to your own needs.
Topics are used by the agent to comprehend the user's intent, while natural language instructions explain to the agent how to behave and what utilities should be used.
Yes. Business Object Tools can be used by the agents to safely read, write, update, or delete records in supported Fusion applications.
These external REST components can be included to assist agents in communicating with supported external applications and services.
Concepts related to MCP integration can be included in learning about the connection of agents with external components, resources, and enterprise systems.
Yes. Students will be able to understand how document-based information can be used by AI agents to provide more context-based responses.
In addition to supported Oracle models, Oracle also provides credentials and configurations for custom LLM connections.
Yes. Students will be able to learn how multi-agents orchestrate within workflows to perform complex business processes.
A supervisor coordinates activities across other agents or workflow components and helps manage how multi-agent processes are executed.
Human approval concepts are relevant when workflows require review, authorization, or intervention before an automated process continues.
Yes. Important areas can include roles, permissions, security console requirements, external tool access, and user access to AI agents.
Yes. Testing and validation allow students to determine if the agent is using appropriate tools, correctly interpreting the request, and generating the correct response.
Yes. Sessions could involve troubleshooting agent responses by examining configurations, instructions, and tools used.
Yes. Functional consultants could benefit from understanding the relationship between AI agents and business processes, as well as possibilities for intelligent automation in Fusion applications.
Yes. Oracle developers could benefit from integration capabilities, REST services, external tools, workflows, custom agents, and automation use cases.
Yes. Beginners who possess basic Oracle or cloud knowledge could start from the basics and progress towards agent configuration and workflows.
This could help in pursuing a career in Oracle Cloud Consulting, Fusion Implementation, Enterprise Automation, Application Development, Solution Architecture, and AI Transformation.
Yes. The course could help to deepen knowledge about Oracle Fusion AI concepts and topics.
There is no specific Oracle AI Agent Studio certification; however, Oracle University offers various training and certification courses. You need to check your eligible path for certification on Oracle MyLearn.
You must go through the exam objectives, follow the Oracle learning paths, do exercises of the product-related tasks, revise important concepts, etc.
Learners are required to refer to the present GoLogica course description to find out more information about a completion certificate.
You must review the syllabus, check the prerequisites and batch timings, and then contact GoLogica to learn more about the enrollment process.
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