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Oracle Agentic AI Certification Training

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Reviews 4.9 (4.6k+)
Rated 4.7 out of 5

Learners : 1080

Duration :  25 Days

About Course

🌐 Oracle Agentic AI Online Training

Oracle Agentic AI refers to advanced AI systems that act as autonomous “agents” capable of planning, reasoning, and executing multi-step tasks within Oracle Cloud applications. Built on AI/ML and LLM capabilities from Oracle, these agents go beyond simple automation by making decisions, adapting to context, and interacting with multiple systems. Agentic AI is widely used in enterprise automation, intelligent assistants, workflow orchestration, and decision-making systems.

This course provides in-depth, hands-on experience in designing agentic workflows, integrating AI agents with enterprise systems, implementing reasoning-based automation, and building real-time AI-driven solutions.

🚀 Its Core Capabilities Include:

Autonomous Task Execution:
Agents can plan and execute multi-step workflows independently.
Reasoning & Planning:
Use AI to analyze context and decide next actions dynamically.
Multi-System Integration:
Interact with ERP, CRM, APIs, and databases seamlessly.
LLM-Powered Intelligence:
Leverage large language models for decision-making and communication.
Context Awareness:
Maintain memory and context across tasks and interactions.
Workflow Orchestration:
Coordinate multiple services and processes intelligently.
Real-Time Adaptability:
Adjust actions based on changing data and user inputs.

📍 Bonus: Certification Tracks

  • Oracle Agentic AI Associate Certification
  • Oracle Agentic AI Developer Certification
  • Oracle Agentic AI Application Developer Certification
  • Oracle Agentic AI Expert Certification (Viswa Online Trainings)

Oracle Agentic AI Training Course Syllabus

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Oracle Agentic AI Course Key Features

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Oracle Agentic AI Online Training FAQ'S

What is Oracle Agentic AI?
  • Oracle Agentic AI refers to autonomous AI systems that can plan, reason, and execute tasks. It enables intelligent automation across enterprise applications.
How is Agentic AI different from traditional AI?
  • Agentic AI can make decisions and perform multi-step tasks independently. Traditional AI mainly focuses on predictions or single-task automation.

What is the role of LLMs in Agentic AI?
  • LLMs provide natural language understanding and reasoning capabilities. They help agents interact, plan actions, and generate responses.
What is workflow orchestration in Agentic AI?
  • Workflow orchestration coordinates multiple tasks and systems in a sequence. It allows agents to automate complex business processes end-to-end.
What are use cases of Oracle Agentic AI?
  • Intelligent business process automation
  • AI assistants and chatbots
  • Decision support systems
  • Multi-system task automation

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