Google Agent Development Kit (ADK)-Build & Deploy AI Agents
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Unclaimed ProfileDiscover the future of autonomous systems with this comprehensive, developer-focused course on the Google Agent Development Kit (ADK), taught by industry expert Janakiram MSV. This curriculum provides a deep dive into building and deploying production-grade AI agents from scratch. Software engineers, AI practitioners, and cloud architects will learn how to navigate the core architecture of ADK, exploring essential components like the Runner, Session management, shared state, and the event loop. Throughout this practical, code-first journey, you will connect intelligent agents to state-of-the-art language models including Google Gemini, OpenAI GPT, and local models via Ollama and LiteLLM. The course places a heavy emphasis on tool integration, guiding you through the implementation of standard OpenAPI schemas, Model Context Protocol (MCP) tools, and third-party ecosystems like LangChain and CrewAI. Security and reliability are addressed through advanced modules on guardrails, callbacks, and persistent memory. Finally, you will learn to containerize and deploy your intelligent agents to Google Cloud Run and Vertex AI Agent Engine for secure, managed, and highly scalable production hosting.
About the creator
Janakiram MSV
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Janakiram MSV is a distinguished technology analyst, consultant, and educator with a profound focus on cloud computing, artificial intelligence, and edge intelligence. With a career spanning several decades, he has established himself as a thought leader who demystifies complex technical ecosystems for developers, architects, and enterprise leaders. His teaching methodology is rooted in the philosophy that hands-on experimentation is the ultimate catalyst for mastery. Rather than relying on high-level theory, Janakiram bridges the gap between conceptual architecture and practical implementation. By dissecting emerging frameworks and developer kits, he empowers his students to build robust, scalable applications that solve real-world problems.…Show more
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Program Overview
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Learning format
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Price
Price may change · updated within 1–2 weeks
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What You'll Learn
- Understand the building blocks of LLMs and how they power intelligent agents
- Set up and scaffold your first AI agent using Google's Agent Development Kit (ADK)
- Run agents through the ADK Web UI, CLI, and REST API
- Master ADK's architecture including the Runner, Sessions, State, and the Event Loop
- Connect agents to Gemini, GPT, Ollama, and third-party models through Vertex AI and LiteLLM
- Build and integrate Function Tools, Built-in Tools, OpenAPI Tools, and MCP Tools
- Use LangChain and CrewAI tools within ADK agents
- Implement session-based memory, shared state, and long-term memory for persistent agents
- Add callbacks and guardrails to control agent behavior before and after model and tool execution
- Prepare agents for production and deploy them to Google Cloud Run
- Deploy agents to Vertex AI Agent Engine for managed, scalable hosting
Best For
- Software engineers looking to master the Google ADK framework for building autonomous AI.
- Cloud architects tasked with deploying production-ready agentic workflows on Google Cloud.
- AI developers who need to integrate multi-modal LLMs like Gemini and GPT with external tools.
- Technical professionals eager to implement standardized protocols like MCP and OpenAPI for agent toolchains.
Not For
- Complete beginners with zero prior experience in Python programming or software development.
- Individuals seeking a high-level conceptual overview of AI without interest in technical implementation.
- Data scientists focused exclusively on model training rather than building agentic application architectures.
- Professionals who do not have an active Google Cloud account or willingness to work with cloud-native infrastructure.
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