Learn Google’s Agent Development Kit to Build, Deploy, and Scale Real Multi-Agent AI Systems with Zero Dev Cost
Description
Build Real AI Systems Using Google’s Open Agent Framework (ADK)
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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.
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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
Build intelligent agents using modular Google ADK components
Coordinate workflows using the Agent-to-Agent (A2A) protocol
Integrate APIs, tools, and databases using structured function calling
Implement fault-tolerant patterns: error handling, retries, circuit breakers
Add memory with FAISS, context tracking, and conversation persistence
Deploy on Docker, Kubernetes, and Vertex AI
Switch between Ollama, GPT‑4, Gemini, Claude, DeepSeek, and Mistral
Projects You’ll Build
Customer Service Agent with smart tool routing
Loan Processing Workflow with parallel risk assessment
Document Pipeline with sequential validation
Custom Project tailored to your domain
Who This Is For
Developers ready to go beyond prompt engineering
Engineers building AI systems in real-world applications
Technical leads evaluating multi-agent frameworks
Professionals preparing for AI-first roles
Why Learn Google ADK Now?
Released in 2025, early mastery gives you a competitive advantage
Built for scalable deployment — local, cloud, or hybrid
Adopted by major companies for agent-based automation
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
Total Students | 6324 |
---|---|
Duration | 4 hours |
Language | English (US) |
Original Price | |
Sale Price | 0 |
Number of lectures | 24 |
Number of quizzes | 2 |
Total Reviews | 27 |
Global Rating | 4.148148 |
Instructor Name | Pragati Kunwer |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
78% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 4 hours
- Practical value: 7/10
Roadmap Fit
- Beginner → Advanced → Advanced
Key Takeaways for Learners
- Automation
- Tracking
- Clear Explanation
- Practical
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
- Clear Explanation
- Practical
- Hands On
- Examples
- Well Structured
Watch-outs
No consistent issues reported.
Difficulty
Best suited for
Practitioners optimizing at scale
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