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Dive into FastMCP and tool integration for AI agents with Google experts through hands-on coding, theory, and Q&A in this comprehensive workshop series.
Discover how to integrate AI with your database using MCP Server technology to tune SQL, explore data, and build applications with Oracle's product team experts.
Discover how Google's Vertex AI platform streamlines the entire AI development lifecycle, reducing technical debt while accelerating predictive and generative AI innovations to market.
Experience live AI-powered app development with Oracle APEX, building complete applications from natural language prompts and adding RAG-powered chatbots for enterprise data.
Master building and deploying multi-agent AI workflows on Google Cloud using ADK in this hands-on workshop with provided cloud credits and expert guidance.
Discover how to implement AI Vector Search in Oracle APEX for semantic, context-aware search across text, images, and documents using SQL and declarative tools.
Discover how to build event-driven AI agents that go beyond chatbots using Docker tools, GitHub webhooks, and real-world PR automation scenarios.
Discover GKE Inference Gateway for deploying and scaling LLMs on Kubernetes with model-aware routing, optimized load balancing, and dynamic LoRA serving for cost-effective AI inference.
Explore cutting-edge AI agent development, evaluation frameworks, and management strategies through expert talks from Google, Snowflake, and Airia professionals.
Master AI agent workflows with Google Gemini CLI and Docker MCP integration. Learn context engineering, automated evaluations, CI/CD pipelines, and production deployment strategies.
Dive into Oracle Database 23ai's AI capabilities including vector search, RAG implementations, and innovative AI workloads without learning new programming languages or frameworks.
Discover how Oracle's Select AI streamlines RAG implementation, automating vector indexing and workflows to build GenAI apps that answer natural language questions using trusted documents.
Explore how knowledge graphs enhance GenAI trustworthiness through Graph RAG, reducing hallucinations and adding context to AI responses using detective story examples.
Explore how AI agents can safely spend money through NetMind.AI's Agent Payments Protocol, covering secure authorization, digital contracts, and real-world business applications.
Master building AI agents with Python, LangChain, and Oracle Database 23ai through hands-on exercises covering data reasoning, tool integration, and conversational context.
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