OCI Enterprise AI is an end-to-end platform for moving AI applications from experimentation into production. It supports access to AI models, agent development and orchestration, enterprise data grounding, and security and governance controls.
- Connect AI agents with enterprise data and knowledge sources
- Through this, you can use vector search to retrieve related information
- Work with tools and APIs to perform actions
- It supports multistep agent workflows
- Apply IAM based access control and guardrails
- Monitor AI applications with observability and auditability
Prerequisites
- Basic understanding of Oracle Cloud Infrastructure (OCI)
- Knowledge of cloud computing and enterprise applications
- Basic understanding of generative AI and foundation models
- Familiarity with AI agents, APIs and enterprise data can be beneficial
- Basic technical knowledge of security, access control and cloud services
What You Will Learn
- Enterprise AI models and model selection
- Foundation models and model inference
- Enterprise AI agents
- OCI Responses API
- Agent tools and API integration
- File Search and vector stores
- Retrieval-augmented generation (RAG)
- Enterprise data and knowledge grounding
- SQL Search (NL2SQL)
- Hosted agentic applications
- AI application deployment
- IAM-based access control
- Guardrails
- Observability and auditability
- Production AI application governance
Key OCI Enterprise AI Technologies and Tools Covered
- Oracle Cloud Infrastructure (OCI)
- OCI Enterprise AI
- OCI Generative AI
- Foundation Models
- Enterprise AI Agents
- OCI Responses API
- Vector Stores
- RAG (Retrieval-Augmented Generation)
- AI Agent Tools & APIs
- OCI Identity and Access Management (IAM)
- AI Guardrails
- OCI Observability
- Auditability
