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uday gurav

Учасник із 2026

Діамантова ліга

Кількість балів: 3595
Build AI Agents with Enterprise Databases Earned трав. 16, 2026 EDT
Deploy Your First Agent Earned бер. 30, 2026 EDT
[DEPRECATED] Orchestrate Complex Multi-Agent Workflows Earned бер. 29, 2026 EDT
Coordinate Multiple Agents Earned бер. 28, 2026 EDT
Optimize Agent Behavior Earned бер. 27, 2026 EDT
Build Your First Agent with Agent Development Kit (ADK) Earned бер. 23, 2026 EDT
Agent Fundamentals Earned бер. 23, 2026 EDT

Build AI agents that can leverage enterprise databases using the MCP Toolbox for Databases. You will define secure database interaction tools, and implement intelligent querying capabilities (leveraging vector embeddings, structured queries).

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Take your agents from localhost to production. This course teaches you to deploy ADK agents to Agent Runtime and Cloud Run, with optional cross-session memory via Memory Bank. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program. Join the community forum for questions and discussions

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Learn to orchestrate complex multi-agent workflows. This lesson teaches you to choose the right workflow patterns, manage state across agents, understand when custom logic is needed, and introduces distributed agent systems with A2A Protocol.

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Learn to coordinate multiple specialized agents working together. This lesson teaches you when to use multi-agent systems, how to orchestrate agents with workflow patterns, and how agents communicate through shared state. By the end, you’ll build a complete multi-agent application.

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You’ve built your first agent—now it’s time to take it further. In this course, you’ll advance your skills by learning how to turn a basic AI agent into a sophisticated, precise assistant—applying advanced instructions, model selection, planning capabilities, and structured output patterns. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program. Join the community forum for questions and discussions

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Turn your understanding of agents into practical reality by building, configuring, and running your first AI agent using Google’s Agent Development Kit (ADK). In this hands-on course, you’ll set up a complete ADK development environment, create agents with both Python code and YAML configuration, and run them through multiple interfaces. You’ll also learn the core parameters that define agent behavior, taking what you learned in course 1 and applying it to working code.Explore other content in the Gemini Enterprise Agent Ready (GEAR) program

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This course introduces the fundamentals of AI agents and explores where agents add value in the real world. It provides a foundation for developers, architects, and technical decision-makers who want to understand AI systems through the lens of autonomous, goal-directed behavior. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

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