Oracle Agentic AI Foundations Training provides a structured introduction to enterprise agentic AI development using Oracle technologies and modern AI frameworks. The course explains how AI agents move beyond simple prompt-response interactions by reasoning tasks, invoking external tools, accessing enterprise knowledge, and making decisions autonomously. Learners explore agent architectures, LangChain, the OpenAI Agents SDK, Model Context Protocol (MCP), Oracle AI Vector Search, OCI Enterprise AI Platform, and Oracle AI Database capabilities. Practical exercises help participants develop the skills required to design, deploy, secure, and manage production-ready AI agents while preparing for the Oracle Agentic AI Foundations Associate certification.
Prerequisites for Oracle Agentic AI Foundations Course
- Large Language Model (LLM) Fundamentals
- Python Programming
- Oracle Cloud Infrastructure (OCI) Fundamentals
- AI and Machine Learning Fundamentals
Tools and Technologies Covered
- Oracle Cloud Infrastructure (OCI)
- OCI Enterprise AI Platform
- OCI Enterprise AI Agents
- LangChain
- LangChain Expression Language (LCEL)
- OpenAI Responses API
- OpenAI Agents SDK
- Model Context Protocol (MCP)
- Oracle AI Database
- Oracle AI Vector Search
- Oracle Autonomous AI Database MCP Server
- Oracle AI Database Private Agent Factory
What Will You Learn
- AI Agent Fundamentals
- Agent Reasoning Patterns
- LangChain Agent Development
- OpenAI Agents SDK
- OpenAI Responses API
- Model Context Protocol (MCP)
- Enterprise AI Agent Development
- Oracle AI Database Integration
- Oracle AI Vector Search
- Multi-Agent Systems
- AI Safety and Guardrails
- Enterprise Agent Deployment
Who Should Do This Course
- AI Engineers
- Machine Learning Engineers
- Data Scientists
- Cloud Developers
- Python Developers
- Oracle Cloud Professionals
- Software Engineers
- AI Solution Architects
- Application Developers
- Technical Consultants
