Overview

Build 150+ Multimodal AI Agents with Google's Agent Development Kit, Gemini and Google Cloud Build enterprise-grade AI agents using Google's Agent Development Kit (ADK), from basic LlmAgent implementations to advanced multi-agent orchestration systems. This complete blueprint covers every aspect of Google ADK development with hands-on examples, technical deep dives, and production-ready patterns. Core Technical Coverage: Agent Architecture: LlmAgent, BaseAgent, and LoopAgent implementations with session management Multi-Agent Systems: Sub-agent orchestration, Agent2Agent protocol, and distributed architectures Voice & Audio Integration: Complete voice pipeline setup with real-time audio streaming Enterprise Deployment: Kubernetes orchestration, CI/CD pipelines, and microservices integration Performance Optimization: Profiling, caching strategies, and token usage optimization Advanced AI Integration: Multi-modal capabilities, custom model deployment, and Vertex AI integration Practical Implementation Focus: FAQ chatbots with knowledge retrieval systems Research teams with specialized agent coordination Voice-enabled assistants with streaming responses Enterprise knowledge management platforms High-throughput processing systems with robust guardrails Production-Ready Features: ✓ Input guardrails and safety mechanisms with before_model_callback ✓ Streaming and event handling for real-time processing ✓ InMemorySessionService and custom session service development ✓ Testing strategies including unit, integration, and end-to-end approaches ✓ Container orchestration with Docker and Kubernetes deployment templates Complete Learning Path: Foundations - ADK architecture, development environment, and agent configuration Intermediate - Multi-agent orchestration, model integration, and performance optimization Advanced - Enterprise architecture, voice integration, and Agent2Agent protocol Includes comprehensive API reference, integration patterns for Google Cloud/AWS/Azure, and a complete patterns library for multi-agent conversations, RAG implementations, and voice workflows.

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