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Oracle GenAI for Enterprise
When and Why OCI vs Public AI
2 days5 modulesAdvanced
For enterprise architects facing critical AI infrastructure decisions. When should you use public APIs like OpenAI and Anthropic? When does Oracle GenAI Services make sense? When do you need Dedicated AI Clusters? This workshop provides a decision framework based on data sovereignty, regulatory compliance, performance requirements, and cost optimization. You'll learn to implement enterprise RAG patterns and integrate OCI GenAI with modern coding agents.
What You'll Learn
Compare all major AI providers objectively
Decide between public APIs and OCI GenAI
Set up Dedicated AI Clusters
Implement enterprise RAG patterns
Integrate OCI GenAI with coding agents
Workshop Modules
1
AI Labs Landscape
1 hourCompare major AI providers objectively.
AnthropicOpenAIMetaCohereGoogleComparison matrix
2
Oracle GenAI Services
1 hourOCI GenAI Service overview.
Available modelsArchitectureAPI usagePricing
3
Dedicated AI Clusters
2 hoursWhen and how to use dedicated infrastructure.
Use casesSetupFine-tuningCost analysis
4
Coding Agent Integration
3 hoursConnect OCI GenAI with modern agents.
MCP server for OCIHybrid architectureAuthenticationPatterns
5
Enterprise Patterns
3 hoursProduction-ready enterprise AI.
RAG implementationGuardrailsComplianceMonitoring
Prerequisites
- •Cloud architecture experience
- •Understanding of AI/ML concepts
- •OCI account (for hands-on labs)
- •Enterprise context (regulations, compliance)
Tools You'll Use
OCI GenAIOCI ConsolePython SDKMCP
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