Multi-Agent AI: The Blueprint for Production Systems (Gemini ADK & MCP) скачать в хорошем качестве

Multi-Agent AI: The Blueprint for Production Systems (Gemini ADK & MCP)

This video is a high-level technical masterclass on transitioning from fragile AI prototypes to production-ready, enterprise-grade multi-agent systems using the Gemini Agent Development Kit (ADK) and the Model Context Protocol (MCP). Cracking the code on production-ready AI: Welcome to the Agentic System Heist. Are you stuck in the "Pre-USB" era of AI development? For too long, building AI agents has relied on "Brute Force"—custom wiring, fragile parsers, and proprietary connectors that break the moment an external API changes. In this video, we unveil the master plan to move beyond monolithic LLMs and into the era of specialized, coordinated multi-agent systems. In this session, we provide the definitive blueprint for enterprise deployment: ✅ The Target: Understanding why custom integration code leads to fragile architecture and "Conversational Amnesia." ✅ The Master Plan: A two-part strategy featuring *The Orchestrator (Gemini ADK)* and The Universal Standard (Model Context Protocol - MCP). ✅ **The Playbook: A deep dive into 6 architectural patterns, including: **Sequential Pipelines for document processing. **Parallel Gathering for low-latency synthesis. **Coordinator Routing for intelligent triage. **Hierarchical Delegation for complex research. **Iterative Refinement for high-stakes quality control. ✅ **Maintaining Comms: Why session management (Vertex AI & Database services) is the backbone of reliable agents. ✅ **Specialist Training: Best practices for tool design, including precise type hints and meaningful error handling. ✅ The Professional’s Toolkit: 5 non-negotiable principles for hardening your AI systems from day one. Why Gemini ADK & MCP? The Gemini ADK handles the heavy lifting of coordination and state management, while the MCP standardizes the communication layer (JSON-RPC 2.0), making tools truly plug-and-play. Together, they eliminate "Spaghetti Code" and enable an infinitely composable agent ecosystem. Who is this for? AI Architects, Software Engineers, and Enterprise Leaders who are ready to move out of the lab and into live, scalable deployments. Chapters: Introduction: The Agentic System Heist The Problem: Brute Force & Integration Chaos The Solution: Gemini ADK + MCP Deep Dive: The Gemini Agent Development Kit (ADK) The Universal Standard: Model Context Protocol (MCP) The Playbook: 6 Core Architectural Patterns Summary Table: Which Pattern to Choose? Session Management: Ending Conversational Amnesia Tool Design: Training Your Specialists Case Study: Customer Support System Operation 5 Critical Pitfalls to Avoid The Professional's Toolkit: Core Principles #MultiAgentSystems #AgenticAI #GeminiADK #ModelContextProtocol #MCP #LLM #EnterpriseAI #AIAgents #GoogleCloud #MachineLearning #SoftwareArchitecture #MultiAgentSystems, #AgenticAI, #GeminiADK, #ModelContextProtocol, #MCP, #LLM, #EnterpriseAI, #AIAgents, #GoogleCloud, #MachineLearning