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Sameer Kumar Kamat PIET24CS149

Member since 2026

Diamond League

23593 points
Gemini in Google Chat Earned נוב 7, 2026 EST
Uncover Credit Market Opportunities with Gemini Earned נוב 7, 2026 EST
Accelerate Bond Issuance with Gemini Earned נוב 7, 2026 EST
Use Gemini for Financial Portfolio Resilience Earned נוב 6, 2026 EST
Elevate Financial Advisor Insights with Gemini Earned נוב 6, 2026 EST
Unlock Insights with Gemini Notebook Earned נוב 6, 2026 EST
AI Boost Bites: Personalization with customized prompts Earned נוב 6, 2026 EST
AI Boost Bites: Amplify Exec Voices with AI Earned נוב 6, 2026 EST
AI Boost Bites: Exec Summaries with Gemini Gems Earned נוב 6, 2026 EST
AI Boost Bites: TL;DR with Gemini in Docs & Drive Earned נוב 6, 2026 EST
AI Boost Bites: Gemini Calendar Hacks in Gmail Earned נוב 6, 2026 EST
AI Boost Bites: Tame Your Inbox with AI Earned נוב 6, 2026 EST
AI Boost Bites: Prompting like a Pro with Google Workspace Earned נוב 6, 2026 EST
Gemini in Google Vids Earned נוב 6, 2026 EST
Gemini in Google Drive Earned נוב 6, 2026 EST
Gemini in Google Meet Earned נוב 6, 2026 EST
Gemini in Google Sheets Earned נוב 6, 2026 EST
Gemini in Google Slides Earned נוב 5, 2026 EST
Gemini in Google Docs Earned נוב 5, 2026 EST
Gemini in Gmail Earned נוב 5, 2026 EST
Google Workspace with Gemini: Foundations of Your AI Workflow Earned נוב 5, 2026 EST
Gen AI Apps: Transform Your Work Earned נוב 4, 2026 EST
Gen AI: Navigate the Landscape Earned נוב 2, 2026 EST
Gen AI: Unlock Foundational Concepts Earned נוב 2, 2026 EST
Gen AI: Beyond the Chatbot Earned נוב 2, 2026 EST
Draft NDA Documents with Gemini Earned נוב 2, 2026 EST
Use Gemini to Redact Legal Documents Earned נוב 2, 2026 EST
Contract Review and Playbook Creation with Gemini Earned נוב 2, 2026 EST
Use Gemini for Legal Data and DSAR Responses Earned נוב 2, 2026 EST
Use Gemini for Legal Regulatory Horizon Scanning Earned נוב 2, 2026 EST
Model Armor: Securing AI Deployments Earned אוק 28, 2026 EDT
Introduction to Security in the World of AI Earned אוק 28, 2026 EDT
Responsible AI for Developers: Fairness & Bias Earned אוק 28, 2026 EDT
Machine Learning Operations (MLOps) with Agent Platform: Model Evaluation Earned אוק 28, 2026 EDT
Machine Learning Operations (MLOps) for Generative AI Earned אוק 28, 2026 EDT
Deploy Multi-Agent Architectures Earned אוק 27, 2026 EDT
Engineer AI Agents with Agent Development Kit (ADK) Earned אוק 22, 2026 EDT
Manage Agent Memory and State Earned אוק 22, 2026 EDT
Optimize Agent Behavior Earned אוק 22, 2026 EDT
Add Agent Capabilities With Tools Earned אוק 22, 2026 EDT
Serverless Data Processing with Dataflow: Develop Pipelines Earned אוק 14, 2026 EDT
Serverless Data Processing with Dataflow: Foundations Earned אוק 14, 2026 EDT
Build a Certification Study Guide: PDE Exam Prep Earned אוק 13, 2026 EDT
Understanding Google Cloud Security and Operations - בעברית Earned אוק 13, 2026 EDT
Trust and Security with Google Cloud Earned אוק 13, 2026 EDT
Infrastructure and Application Modernization with Google Cloud - בעברית Earned אוק 13, 2026 EDT
Innovating with Google Cloud Artificial Intelligence Earned אוק 13, 2026 EDT
Innovating with Data and Google Cloud - בעברית Earned אוק 13, 2026 EDT
Digital Transformation with Google Cloud - בעברית Earned אוק 13, 2026 EDT
Orchestrate Multi-agent Workflows with Gemini Enterprise Earned אוק 13, 2026 EDT
Human-Centered AI Earned אוק 13, 2026 EDT
Gen AI Agents: Transform Your Organization Earned אוק 13, 2026 EDT
Deploy Your First Agent Earned אוק 13, 2026 EDT
Build and Deploy Agents in Production Earned אוק 13, 2026 EDT
Build Your First Agent with Agent Development Kit (ADK) Earned אוק 13, 2026 EDT
Create Your First Gemini Enterprise Application Earned אוק 13, 2026 EDT
Enterprise Agents and Use Cases Earned אוק 13, 2026 EDT
Agent Fundamentals Earned אוק 12, 2026 EDT
Google Sheets - Advanced Topics Earned אוק 6, 2026 EDT

This course covers how to use Gemini in Google Chat to streamline business messaging. Learn to cut through notification noise with summaries, use natural language search to locate buried decisions, and refine message tone with real-time writing tools. Explore other content in the Gemini Agent Ready (GEAR) program.

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In this microlearning, you explore how to leverage Gemini to uncover credit market opportunities and analyze market discrepancies. Through a step-by-step tutorial, you will learn how to isolate potential mispricings to optimize trading strategies, expand overall volume, and lower risk and latency.

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In this microlearning, you explore how to leverage Gemini to compress client pitch presentation timelines and accelerate bond issuance workflows. Through a step-by-step tutorial, you will learn how to synthesize financial data and market trends into compelling pitch materials, expanding overall deal capacity and attracting new business.

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In this microlearning, you explore how to leverage Gemini to conduct portfolio stress tests, simulate yield shifts on portfolio positions, and derive matched hedging strategies. Through a step-by-step tutorial, you will learn how to ingest portfolio data, fetch real-time market rates, and compute key duration metrics to efficiently generate a comprehensive risk exposure analysis.

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In this microlearning, you explore how to leverage Gemini to synthesize complex multi-year SEC filings for high-value client preparation. Through a step-by-step tutorial, you'll explore structured prompts to evaluate financial performance, identify supply chain vulnerabilities, and quickly generate a comprehensive, audit-ready executive briefing.

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In this course, you will learn how to centralize diverse sources like PDFs, web pages, and even audio files into a single, intelligent workspace. You will learn to chat with your documents to find specific information, generate instant summaries, and verify answers with AI-powered citations.

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This video covers how to personalize your Gemini results in Google Workspace. Learn to incorporate documents and research papers directly into your prompts using the "@" symbol to get more targeted and relevant AI output tailored to your needs.

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This video will cover how to leverage Gemini Gems to create authentic social media posts in your leader's unique voice. Learn to overcome the challenge of scaling executive social presence by training a Gem with writing samples and clear instructions. Discover how to generate engaging posts quickly, saving time while amplifying thought leadership and ensuring authenticity.

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This video covers how you can create your own Brevity Gem to summarize and transform messy notes or long documents into clear, concise, executive-ready summaries.

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This video covers how you can use Gemini to summarize long documents in Google Workspace, so you can quickly get the information you need and save time. You'll learn how to use Gemini to summarize entire documents or just selected text, as well as how to use Gemini in Drive to summarize across multiple files.

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This video covers how to use Gemini in Gmail to manage your Google Calendar by asking about your schedule in the side panel and using the one-click "add to calendar" feature for events detected in emails.

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This video covers how to use Gemini in Gmail to summarize emails, find information, and draft replies, helping you manage your inbox more efficiently.

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This video covers prompt engineering fundamentals for effective AI communication. Learn a simple framework (Persona, Task, Context, Format) to craft clear prompts, getting better, faster results from Gemini in Google Workspace. Discover how to use natural language, be specific, and iterate for optimal AI assistance.

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This course introduces Google Vids, an AI-powered creation tool in Google Workspace that helps you turn raw documents into professional, engaging videos without prior editing experience. You will learn how to quickly generate drafts using templates and automated tools, as well as how to customize your content with transcript-based editing, dynamic visual enhancements, and custom music. Finally, you will explore how to integrate AI avatars and voiceovers to seamlessly narrate your presentations across various business use cases.

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This course covers how to use Gemini in Google Drive to manage and retrieve files. Learn to locate assets using natural language, extract specific facts via AI Overviews without opening files, instantly summarize multiple media formats, and save file collections as Projects for repeatable research. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

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This course covers how to use Gemini in Google Meet to enhance video collaboration. Learn to automate note-taking, utilize real-time text and speech translation, privately catch up on missed discussions, and instantly optimize your audio and video quality. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

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This course covers how to use Gemini in Google Sheets to automate data organization and crunch complex numbers. Learn to structure tables from raw text, auto-populate data using natural language, generate native spreadsheet formulas on demand, and rapidly extract high-level insights or visualizations without needing advanced spreadsheet expertise. Explore other content in the Gemini Agent Ready (GEAR) program.

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This course covers how to use Gemini in Google Slides to transform concepts into visually compelling presentations. Learn to generate structured decks from a single prompt or existing source document, refine slide layouts using automated design enhancement, create custom vector graphics and photos, and dynamically craft on-slide copy alongside precise speaker notes.

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This course covers how to use Gemini in Google Docs to streamline your writing and content creation. Learn to draft documents from scratch, refine writing tone and clarity with interactive tools, summarize complex files, and seamlessly transform long-form text into structured assets for other Google Workspace applications. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

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This course covers how to use Gemini in Gmail to optimize your email management. Learn to summarize lengthy threads, retrieve information using natural language, draft professional responses, and organize communication strategies directly inside your inbox. Explore other content in the Gemini Agent Ready (GEAR) program.

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Google Workspace with Gemini provides customers with generative AI features in Google Workspace. Here, you will learn about the key features of Gemini and how they can be used to improve productivity and efficiency. Continue building your skills in the full Google Workspace with Gemini learning path, and explore other content in the Gemini Agent Ready (GEAR) program.

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Transform Your Work With Gen AI Apps is the fourth course of the Gen AI Leader learning path. This course introduces Google’s gen AI applications, such as Google Workspace with Gemini and Gemini Notebook. It guides you through concepts like grounding, retrieval augmented generation, constructing effective prompts and building automated workflows.

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Gen AI: Navigate the Landscape is the third course of the Gen AI Leader learning path. Gen AI is changing how we work and interact with the world around us. But as a leader, how can you harness its power to drive real business outcomes? In this course, you explore the different layers of building gen AI solutions, Google Cloud’s offerings, and the factors to consider when selecting a solution.

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Gen AI: Unlock Foundational Concepts is the second course of the Gen AI Leader learning path. In this course, you unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI, and understanding how various data types enable generative AI to address business challenges. You also gain insights into Google Cloud strategies to address the limitations of foundation models and the key challenges for responsible and secure AI development and deployment.

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Gen AI: Beyond the Chatbot is the first course of the Gen AI Leader learning path and has no prerequisites. This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization. You explore concepts like foundation models and prompt engineering, which are crucial for leveraging the power of gen AI. The course also guides you through important considerations you should make when developing a successful gen AI strategy for your organization.

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In this microlearning, you explore how to leverage Gemini to draft legal NDA documents aligned with organizational standards. Through a step-by-step tutorial, you will learn how to generate and format standard contracts that adhere to baseline playbook guidelines, significantly reducing review cycles.

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In this microlearning, you explore how to leverage Gemini to automate and streamline high-stakes litigation workflows. Through a step-by-step tutorial, you will learn how to use structured prompts and pre-built connectors to accurately identify PII, generate sanitized court-ready PDFs, and automatically build a comprehensive privilege log for judicial review.

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In this microlearning, you explore how to leverage Gemini for contract review and playbook creation. Through a step-by-step tutorial, you will learn how to establish standardized contracting guidelines and instantly evaluate new agreements against organizational playbooks to streamline negotiations.

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In this microlearning, you explore how to leverage Gemini to scan legal data and draft Data Subject Access Request (DSAR) responses. Through a step-by-step tutorial, you will learn how to analyze internal data repositories, adhere to data privacy templates, and efficiently generate compliant DSAR messaging.

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In this microlearning, you explore how to leverage Gemini for legal regulatory horizon scanning and proactive compliance tracking. Through a step-by-step tutorial, you will learn how to scan regulatory updates, analyze historical documentation, and stay ahead of evolving global mandates.

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This course reviews the essential security features of Model Armor and equips you to work with the service. You’ll learn about the security risks associated with LLMs and how Model Armor protects your AI apps. Explore other content in the Gemini Agent Ready (GEAR) program.

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Artificial Intelligence (AI) offers transformative possibilities, but it also introduces new security challenges. This course equips security and data protection leaders with strategies to securely manage AI within their organizations. Learn a framework for proactively identifying and mitigating AI-specific risks, protecting sensitive data, ensuring compliance, and building a resilient AI infrastructure. Pick use cases from four different industries to explore how these strategies apply in real-world scenarios.

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This course introduces concepts of responsible AI and AI principles. It covers techniques to practically identify fairness and bias and mitigate bias in AI/ML practices. It explores practical methods and tools to implement Responsible AI best practices using Google Cloud products and open source tools.

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This course equips machine learning practitioners with the essential tools, techniques, and best practices for evaluating both generative and predictive AI models. Model evaluation is a critical discipline for ensuring that ML systems deliver reliable, accurate, and high-performing results in production. Participants will gain a deep understanding of various evaluation metrics, methodologies, and their appropriate application across different model types and tasks. The course will emphasize the unique challenges posed by generative AI models and provide strategies for tackling them effectively. By leveraging Google Cloud's Agent Platform, participants will learn how to implement robust evaluation processes for model selection, optimization, and continuous monitoring.

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This course is dedicated to equipping you with the knowledge and tools needed to uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models, and exploring how Gemini Enterprise Agent Platform empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.

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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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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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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. Join the community forum for questions and discussions

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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. Join the community forum for questions and discussions

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In this second installment of the Dataflow course series, we are going to be diving deeper on developing pipelines using the Beam SDK. We start with a review of Apache Beam concepts. Next, we discuss processing streaming data using windows, watermarks and triggers. We then cover options for sources and sinks in your pipelines, schemas to express your structured data, and how to do stateful transformations using State and Timer APIs. We move onto reviewing best practices that help maximize your pipeline performance. Towards the end of the course, we introduce SQL and Dataframes to represent your business logic in Beam and how to iteratively develop pipelines using Beam notebooks.

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This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.

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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Data Engineer certification exam. You'll review Gemini Notebook features, create a notebook in Gemini Notebook, and learn how to use a study guide to practice for a certification exam.

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הקורס בוחן ניהול עלויות, אבטחה ותפעול בענן. ראשית, מוסבר איך עסקים יכולים לרכוש שירותי IT מספק שירותי ענן ולשמר חלק מהתשתית שלהם או לבחור לא לשמר אותה בכלל. שנית, הקורס מתאר איך האחריות על אבטחת נתונים מתחלקת בין ספק שירותי הענן לעסק, וסוקר את אבטחת ההגנה לעומק (defense-in-depth) שמובנית ב-Google Cloud. לבסוף, הקורס מתייחס לכך שצוותי IT ומנהלי העסק צריכים לשנות את החשיבה על ניהול משאבי IT בענן, ונוגע באופן שבו כלי ניטור המשאבים ב-Google Cloud יכולים לסייע להם לשמור על שליטה וניראות בסביבת הענן שלהם.

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As organizations move their data and applications to the cloud, they must address a rapidly evolving landscape of security challenges. This course explores the foundations of cloud security, the value of Google Cloud’s secure-by-design infrastructure, and the defense-in-depth strategy, while highlighting how AI-driven operations and compliance tools help organizations meet strict global regulatory requirements. As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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בארגונים מסורתיים רבים משתמשים במערכות ובאפליקציות מדורות קודמים, וקשה לבצע באמצעותן התאמה לעומס ופעולות מהירות הדרושות כדי לעמוד בציפיות מודרניות של לקוחות. מנהיגים עסקיים וקובעי מדיניות IT צריכים כל הזמן לבחור בין תחזוקה של מערכות מדורות קודמים לבין השקעה במוצרים ובשירותים חדשים. בקורס הזה נבחן את האתגרים הנובעים משימוש בתשתית IT מיושנת, ואיך בעלי עסקים יכולים לבצע מודרניזציה של תשתיות בעזרת טכנולוגיית ענן. הקורס מתחיל בהבנה מעמיקה של אפשרויות המחשוב השונות הזמינות בענן ופירוט היתרונות של כל אחת מהאפשרויות. לאחר מכן נבחן את האפשרויות למודרניזציה של האפליקציות ושל ממשקי API (ממשק תכנות יישומים). בקורס מתוארים גם מגוון פתרונות של Google Cloud שיכולים לשפר את תהליך פיתוח המערכות וניהולן בעסקים שונים, כמו Compute Engine,‏ App Engine ו-Apigee.

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Artificial intelligence (AI) and machine learning (ML) represent an important evolution in information technologies that are quickly transforming a wide range of industries. Innovating with Google Cloud Artificial Intelligence explores how organizations can use AI and ML to transform their business processes. As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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טכנולוגיית הענן לבדה מספקת לעסק חלק קטן בלבד מהערך האמיתי שלה. כשהיא משולבת עם נתונים בנפח רב מאוד, נוצרת העוצמה שמאפשרת להפיק ערך וליצור חוויות חדשות ללקוחות. במסגרת הקורס הזה תלמדו מהם נתונים, איך השתמשו בהם בעבר בחברות לצורך קבלת החלטות ולמה הם קריטיים כל כך ללמידה חישובית. בנוסף, בקורס הזה יוצגו ללומדים מושגים טכניים כמו נתונים מובְנים ולא מובְנים, מסד נתונים, מחסן נתונים (data warehouse) ואגמי נתונים (data lakes). בהמשך, הקורס יעסוק במוצרי Google Cloud הנפוצים ביותר בתחום הנתונים, ובמוצרים כאלה ששיעור השימוש בהם גדל במהירות הרבה ביותר.

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מהי טכנולוגיית ענן ומהו מדע הנתונים? וחשוב יותר, איך הם יכולים לעזור לכם, לצוות שלכם ולעסק שלכם? קורס המבוא הזה בנושא טרנספורמציה דיגיטלית מתאים למי שרוצה ללמוד על טכנולוגיית הענן כדי להתמקצע ולהצטיין בעבודתו וכדי לעזור בפיתוח העתיד של העסק. בקורס יוגדרו מונחי יסוד כגון הענן, נתונים וטרנספורמציה דיגיטלית. בנוסף, נבחן דוגמאות של חברות מרחבי העולם שמשתמשות בטכנולוגיית הענן כדי לבצע טרנספורמציה בעסק. הקורס כולל סקירה של סוגי ההזדמנויות שיש לחברות ושל האתגרים הנפוצים שחברות מתמודדות איתם במהלך טרנספורמציה דיגיטלית. הקורס גם מדגים איך עמודי התווך של פתרונות Google Cloud יכולים לעזור בתהליך. חשוב לומר: טרנספורמציה דיגיטלית לא קשורה רק לשימוש בטכנולוגיות חדשות. כדי הטרנספורמציה תהיה מלאה, ארגונים צריכים גם ליישם חדשנות ולפתח דפוס חשיבה שמקדם חדשנות בכל התחומים והצוותים. השיטות המומלצות המתוארות בקורס יעזרו לכם להשיג את המטרה הזו.

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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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Explore the vital transition from task-driven workflows to human-centric AI orchestration. You will learn to strategically distinguish between augmentation and automation, and how to balance machine efficiency with human intuition. Explore other content in the Gemini Agent Ready (GEAR) program.

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Gen AI Agents: Transform Your Organization is the fifth and final course of the Gen AI Leader learning path. This course explores how organizations can use custom gen AI agents to help tackle specific business challenges. You gain hands-on practice building a basic gen AI agent, while exploring the components of these agents, such as models, reasoning loops, and tools. 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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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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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 builds on some of the concepts covered in the earlier Google Sheets course. In this course, you will learn how to apply and customize themes In Google Sheets, and explore conditional formatting options. You will learn about some of Google Sheets’ advanced formulas and functions. You will explore how to create formulas using functions, and you will also learn how to reference and validate your data in a Google Sheet. Spreadsheets can hold millions of numbers, formulas, and text. Making sense of all of that data can be difficult without a summary or visualization. This course explores the data visualization options in Google Sheets, such as charts and pivot tables. Google Forms are online surveys used to collect data and provide the opportunity for quick data analysis. You will explore how Forms and Sheets work together by connecting collected Form data to a spreadsheet, or by creating a Form from an existing spreadsheet.

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