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Gowrav M
Member since 2025
Diamond League
15685 points
Orchestrate Multi-agent Workflows with Gemini Enterprise
Earned Eki 13, 2026 EDT
Deploy Multi-Agent Architectures
Earned Eki 13, 2026 EDT
Add Agent Capabilities With Tools
Earned Eki 13, 2026 EDT
Manage Agent Memory and State
Earned Eki 12, 2026 EDT
Optimize Agent Behavior
Earned Eki 12, 2026 EDT
Build Your First Agent with Agent Development Kit (ADK)
Earned Eki 12, 2026 EDT
Build Agent Skills with Google
Earned Eki 12, 2026 EDT
Build Collaborative Multi-Agent Systems with ADK & MCP
Earned Eki 12, 2026 EDT
Deploy Your First Agent
Earned Eki 11, 2026 EDT
Build and Deploy Agents in Production
Earned Eki 11, 2026 EDT
Engineer AI Agents with Agent Development Kit (ADK)
Earned Eki 10, 2026 EDT
Create Your First Gemini Enterprise Application
Earned Eki 10, 2026 EDT
Enterprise Agents and Use Cases
Earned Eki 10, 2026 EDT
Agent Fundamentals
Earned Eki 8, 2026 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned Eyl 2, 2025 EDT
Build a Certification Study Guide: PMLE
Earned Tem 23, 2025 EDT
Çoklu Format Destekli Gemini ve Çok Formatlı RAG ile Zengin Belgeleri İnceleme
Earned Tem 22, 2025 EDT
Develop Gen AI Apps with Gemini and Streamlit
Earned Tem 21, 2025 EDT
[DEPRECATED] Google Cloud: Prompt Engineering Guide
Earned Tem 4, 2025 EDT
Explore Generative AI in Agent Platform
Earned Haz 8, 2025 EDT
Agent Platform'da İstem Tasarımı
Earned May 6, 2025 EDT
Generative AI Explorer - Agent Platform
Earned May 4, 2025 EDT
Build Real World AI Applications with Gemini and Imagen
Earned May 3, 2025 EDT
Complete the introductory Orchestrate Multi-Agent Workflows with Gemini Enterprise skill badge to demonstrate skills in the following: using agentic assistants powered by Gemini Enterprise to unify data across first- and third-party sources, develop multimedia marketing materials, and automate business actions across systems.
Skill badges validate your practical knowledge on specific products through hands-on labs and challenge assessments. Earn a badge by completing a course or jump straight into the challenge lab to get your badge today. Badges prove your proficiency, enhance your professional profile, and ultimately lead to increased career opportunities. Visit your profile to track badges you’ve earned. Explore other content in the Gemini Agent Ready (GEAR) program.
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Complete the advanced Deploy Multi-Agent Architectures skill badge to demonstrate skills in the following: building multi-agent systems with ADK, connecting agents with the Agent-to-Agent (A2A) protocol, integrating external tools using the Model Context Protocol (MCP), and deploying a complete multi-agent solution to Agent Engine. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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You’ve built agents with advanced configuration—now give them real-world capabilities. Equip agents with tools that enable searching the web, executing code, querying databases, and performing custom actions. Transform agents from intelligent responders into capable assistants that take action.
Explore other content in the Gemini Agent Ready (GEAR) program.
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You've built basic LLM agents that respond to queries—now let's make them stateful. Use session state to build agents that maintain context, remember user preferences, and provide personalized experiences. Transform agents from stateless responders to intelligent assistants.
Explore other content in the Gemini Agent Ready (GEAR) program.
Join the community forum for questions and discussions
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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 Agent Ready (GEAR) program.
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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 Gemini platform.
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
Explore other content in the Gemini Agent Ready (GEAR) program.
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Close the gap between general AI capabilities and your domain knowledge through Agent Skills. This course walks you through the full lifecycle of custom skill building, from local scaffolding and testing to enterprise scaling and sharing using Google's agent ecosystem, including Google Antigravity, ADK, and Skill Registry. Additionally, you use Google Agents CLI toolkit to attach skills to standalone 24/7 cloud agents, equipping your team with reliable, autonomous digital coworkers.
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Learn to design, coordinate, and deploy multi-agent systems using Google’s Agent Development Kit (ADK) and the Model Context Protocol (MCP). Using a travel concierge example, you'll learn to orchestrate a network of specialized agents with custom guardrails. By the end of the course, you'll understand the design patterns and deployment strategies required for robust, scalable AI workflows. Explore other content in the Gemini Agent Ready (GEAR) program.
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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 Agent Ready (GEAR) program.
Join the community forum for questions and discussions
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Explore the architecture and deployment of multi-agent systems using Google’s Agent Development Kit (ADK) and Google Cloud’s robust infrastructure. You will learn to design hierarchical agent trees and deterministic workflow agents while identifying the ideal hosting environment—from serverless Cloud Run to high-performance GKE—to ensure your AI agents are secure, scalable, and production-ready. Explore other content in the Gemini Agent Ready (GEAR) program.
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Complete the intermediate Engineer AI Agents with Agent Development Kit (ADK) skill badge by completing this course to demonstrate skills in the following: formulating real-world language model research problems; building a simple tokenizer; preparing a dataset for training a transformer language model; running the training loop of a small language model. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Create your first Gemini Enterprise application to earn a skill badge! Connect diverse data sources to your application to build a powerful, unified search and analysis engine. Master advanced capabilities like deep research agents, multi-agent ideation, and Gemini Notebook for focused analysis. Explore other content in the Gemini Agent Ready (GEAR) program.
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Discover how AI agents drive business impact. You’ll map agent types to your KPIs and explore use cases that solve real bottlenecks. Then, learn how Gemini Enterprise empowers you to build and orchestrate the right agents—from no-code to high-code solutions. Explore other content in the Gemini 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 Agent Ready (GEAR) program.
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This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.
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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Machine Learning Engineer (PMLE) certification exam. You'll review Gemini Notebook features, create a notebook, and use the study guide to practice for a certification exam.
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Orta düzeydeki Çoklu Format Destekli Gemini ve Çok Formatlı RAG ile Zengin Belgeleri İnceleme beceri rozetini tamamlayarak şu konulardaki becerilerinizi kanıtlayabilirsiniz: Çok formatlı istemler kullanarak metin ve görsel formatlarındaki verilerden bilgi elde etme, video açıklaması oluşturabilme ve Gemini ile çok formatlılıktan yararlanarak videonun kapsamındaki bilgilerden çok daha fazlasına ulaşabilme; metin ve görüntü içeren dokümanların meta verilerini oluşturma, gerekli tüm metin parçalarına ulaşma ve Gemini'ın Çok Formatlı Almayla Artırılmış Üretim (RAG) mimarisini kullanarak alıntıları yazdırma.
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Complete the intermediate Develop Gen AI Apps with Gemini and Streamlit skill badge course to demonstrate skills in text generation, applying function calls with the Python SDK and Gemini API, and deploying a Streamlit application with Cloud Run. In this course, you learn Gemini prompting, test Streamlit apps in Cloud Shell, and deploy them as Docker containers in Cloud Run. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Google Cloud : Prompt Engineering Guide examines generative AI tools, how they work. We'll explore how to combine Google Cloud knowledge with prompt engineering to improve Gemini responses.
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Complete the intermediate Explore Generative AI in Agent Platform skill badge to demonstrate skills in text generation, image and video analysis for enhanced content creation, and applying function calling techniques within the Gemini API. Discover how to leverage sophisticated Gemini techniques, explore multimodal content generation, and expand the capabilities of your AI-powered projects. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Agent Platform'da istem mühendisliği, görüntü analizi ve çok modlu üretken teknikler gibi becerileri göstermek için Agent Platform'da İstem Tasarımı beceri rozetini tamamlayın. Etkili istemlerin nasıl oluşturulacağını, üretken yapay zeka çıktılarına nasıl rehberlik edileceğini ve Gemini modellerinin gerçek dünyadaki pazarlama senaryolarına nasıl uygulanacağını keşfedin.
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The Generative AI Explorer - Agent Platform course is a collection of labs on how to use Generative AI on Google Cloud. Through the labs, you will learn about how to use the Gemini models in Agent Platform. You will also learn about prompt design, best practices, and how it can be used for ideation, text classification, text extraction, text summarization, and more. You will also learn how to tune a foundation model by training it via custom training in Agent Platform and deploy it to an endpoint in Agent Platform.
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Complete the introductory Build Real World AI Applications with Gemini and Imagen skill badge to demonstrate skills in the following: image recognition, natural language processing, image generation using Google's powerful Gemini and Imagen models, deploying applications on the Google Cloud Agent Platform. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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