[78% Off] 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 Different
1. Not Just Chatbots — Build Real Agent Workflows
Design multi-agent systems with production-grade reliability: retry logic, observability, memory, and orchestration patterns used in enterprise settings.
2. Multi-Model, Multi-Cloud Flexibility
Run 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 Start
Use Ollama for local experiments without subscriptions or token limits. Ideal for learning without spending.
4. Built by a Senior Engineer with 20+ Years of Experience
Taught 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 Learn
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Build intelligent agents using modular Google ADK components
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Coordinate workflows using the Agent-to-Agent (A2A) protocol
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Integrate APIs, tools, and databases using structured function calling
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Implement fault-tolerant patterns: error handling, retries, circuit breakers
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Add memory with FAISS, context tracking, and conversation persistence
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Deploy on Docker, Kubernetes, and Vertex AI
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Switch between Ollama, GPT‑4, Gemini, Claude, DeepSeek, and Mistral
Projects You’ll Build
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Customer Service Agent with smart tool routing
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Loan Processing Workflow with parallel risk assessment
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Document Pipeline with sequential validation
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Custom Project tailored to your domain
Who This Is For
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Developers ready to go beyond prompt engineering
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Engineers building AI systems in real-world applications
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Technical leads evaluating multi-agent frameworks
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Professionals preparing for AI-first roles
Why Learn Google ADK Now?
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Released in 2025, early mastery gives you a competitive advantage
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Built for scalable deployment — local, cloud, or hybrid
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Adopted by major companies for agent-based automation
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Save costs, ship faster, and lead AI innovation
This 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
