Master Google Adk: Build Enterprise Multi-Agent Ai Systems

Learn Google’s Agent Development Kit to Build, Deploy, and Scale Real Multi-Agent AI Systems with Zero Dev Cost

What you'll learn

Build multi-agent AI systems using Google ADK

Orchestrate agents using tools, memory, and workflows

Deploy production-grade agents with Docker and APIs

Integrate agents with enterprise data and tools

Requirements

Basic computer skills and internet access

Familiarity with command line is helpful but not required

Some Python experience is helpful, we’ll guide you as needed

A free Google account (for AI Studio access)

Computer with 4GB+ RAM (Windows, Mac, or Linux)

Description

Build Real AI Systems Using Google’s Open Agent Framework (ADK)Learn to build scalable multi-agent workflows using Google ADK — the same open-source framework adopted by enterprises for intelligent automation.In this hands-on course, you’ll master the Agent-to-Agent (A2A) protocol, coordinate intelligent workflows, and connect agents to real-world tools, databases, APIs, and advanced LLMs like GPT-4, Gemini, Claude, DeepSeek, Mistral, and Llama 3.2.What Makes This Course Different1. Not Just Chatbots — Build Real Agent WorkflowsDesign multi-agent systems with production-grade reliability: retry logic, observability, memory, and orchestration patterns used in enterprise settings.2. Multi-Model, Multi-Cloud FlexibilityRun agents using cost-free local models like Llama 3.2 via Ollama, or switch to advanced cloud LLMs like Gemini, GPT-4, Claude, and more — all from one unified codebase.3. Zero API Cost to StartUse Ollama for local experiments without subscriptions or token limits. Ideal for learning without spending.4. Built by a Senior Engineer with 20+ Years of ExperienceTaught by an instructor who has led enterprise AI development at global tech companies and worked with Google ADK since its early release.What You’ll LearnBuild intelligent agents using modular Google ADK componentsCoordinate workflows using the Agent-to-Agent (A2A) protocolIntegrate APIs, tools, and databases using structured function callingImplement fault-tolerant patterns: error handling, retries, circuit breakersAdd memory with FAISS, context tracking, and conversation persistenceDeploy on Docker, Kubernetes, and Vertex AISwitch between Ollama, GPT‑4, Gemini, Claude, DeepSeek, and MistralProjects You’ll BuildCustomer Service Agent with smart tool routingLoan Processing Workflow with parallel risk assessmentDocument Pipeline with sequential validationCustom Project tailored to your domainWho This Is ForDevelopers ready to go beyond prompt engineeringEngineers building AI systems in real-world applicationsTechnical leads evaluating multi-agent frameworksProfessionals preparing for AI-first rolesWhy Learn Google ADK Now?Released in 2025, early mastery gives you a competitive advantageBuilt for scalable deployment — local, cloud, or hybridAdopted by major companies for agent-based automationSave costs, ship faster, and lead AI innovationThis course gives you real architecture, reusable agents, and hands-on experience — not just toy demos.If you're serious about building the next generation of intelligent systems, this is your step-by-step blueprint.Enroll now and build your first multi-agent system today.Still unsure? Udemy's 30-day money-back guarantee protects you.See you inside,– Pragati

Overview

Section 1: ADK Foundations & Your AI Engineer Journey

Lecture 1 Welcome to Your AI Engineer Transformation

Lecture 2 Professional ADK Workspace Setup

Lecture 3 The Agentic AI Revolution & Google ADK's Dominance

Lecture 4 Google ADK Architecture & Why It Matters

Lecture 5 Your First Production Agent & Quick Win

Section 2: Advanced Agent Architecture & Model Strategy

Lecture 6 Tool Integration & Function Calling

Lecture 7 Agent Memory & Conversation Management

Lecture 8 Error Handling & Production Monitoring

Lecture 9 Hands-On Portfolio Project: Multi-Agent Loan Workflow

Developers and engineers exploring AI agent frameworks,Product and tech leads evaluating ADK for real use cases,Automation and IT professionals building LLM-based tools,Entrepreneurs creating AI-powered services,Teams looking to deploy AI agents in real-world environments