Google ADK Core Architecture Masterclass
Production-ready engineering tutorials for building, optimizing, and securing intelligence agents natively on Android and Kotlin platforms.
Framework Foundations & Swarm Architecture
Code-First AI Agents: Replacing GUI Builders in Kotlin
Discover why declarative code structures out-perform visual drag-and-drop tools. Configure complex KSP processing engines and instantiate primary root nodes.
Designing Multi-Agent Swarms & Routing Delegations
Orchestrate specialized sub-agent pools. Wire continuous hand-off pipelines using predictable token routing models to complete multi-step autonomous loops.
Local Processing & Security Boundaries
Sandbox Encryption Boundaries: Locking Down Local Model Weights
Isolate your fine-tuned offline weights and runtime prompt vectors safely from external system components using hardware-backed crypto blocks.
Biometric Guardrails & Hardware-Attested Tool Access
Prevent autonomous tools from executing system destructive commands by routing function parameters directly through secure physical biometric loops.
Offline Mobile AI: Running On-Device Inference via Gemini Nano
Run complex intelligence patterns completely offline using local device NPUs. Safeguard metrics by bypassing cloud processing pipelines completely.
Data Minimization Filters & Token Bleed Defenses
Block adversarial prompt injections and system rule leakages using automated pre-inference input processing regex filters.
Advanced Features & State Control
Custom Tools in Google ADK: Master @Tool and @Param
Expose local physical device parameters to your LLM layer. Safely bind native hardware sensors directly into compiled functional schemas.
Mastering Session State & Memory in Multi-Agent Rings
Track complex parameter shifts across distinct asynchronous Coroutine threads without triggering leaks or bloated context token consumption.