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Master building LLM-powered AI agents with Azure AI Agent Service through hands-on coding, data analysis, and visualization techniques for real-world applications.
Build a multimodal AI agent from scratch using MongoDB, Google's Gemini, and Python to process mixed-media content, analyze charts, and extract insights from visual documents.
Unlock advanced memory techniques for AI agents using Neo4j, Cognee, Graphiti, and Mem0 to enhance recall, contextual awareness, and autonomous reasoning capabilities.
Discover advanced GraphRAG techniques using graph ML and algorithms to enhance AI reasoning and retrieval capabilities with Neo4j experts.
Discover how to build agentic applications using Heroku's Managed Inference and Agents platform with secure code execution, database querying, and Model Context Protocol integration.
Explore practical strategies for building and scaling AI agents in production environments, moving from local implementations to cloud-scale architectures with demos and real-world use cases.
Discover how to navigate complex legacy codebases using AI-powered tools and deep context analysis techniques in this Apollo 11-themed presentation.
Explore practical strategies for deploying AI agents at scale, covering infrastructure decisions, scalability frameworks, and production-ready architectures.
Discover how to build production-ready AI agents in days instead of months using AWS's open source Strands SDK with just a model, prompt, and tools.
Dive into building realtime video avatars using Pipecat framework and Daily's WebRTC infrastructure for conversational AI applications in education and support.
Discover how to create meaningful vector search benchmarks beyond marketing hype, covering common pitfalls, unique challenges, and building tailored evaluations for your specific use case.
Master observability-driven evaluation techniques to detect, diagnose, and correct unpredictable behaviors in LLM agents at production scale using repeatable, metric-driven frameworks.
Explore secure agent orchestration architectures for regulated industries, covering Gitpod's evolution from self-hosted Kubernetes to 'bring your own cloud' models with auto-suspend features.
Discover proven design patterns and best practices for building production-ready AI agents, with concrete implementation guidance from LlamaIndex's real-world experience.
Discover systematic approaches to customize AI coding assistants for complex enterprise environments, covering legacy systems, polyglot codebases, and maintaining developer flow state.
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