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Oscar Fletcher

Member since 2022

Gen AI Agents: Transform Your Organization Earned אוק 1, 2025 EDT
Optimize Your Google Cloud Costs Earned מאי 5, 2025 EDT
Prepare Data for ML APIs on Google Cloud Earned מרץ 19, 2025 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud Earned מרץ 4, 2025 EST
Implementing Cloud Load Balancing for Compute Engine Earned פבר 28, 2025 EST
Build a Secure Google Cloud Network Earned ינו 28, 2025 EST
Google Cloud Computing Foundations: Networking & Security in Google Cloud Earned ינו 27, 2025 EST
Google Cloud Computing Foundations: Infrastructure in Google Cloud Earned ינו 15, 2025 EST
Introduction to AI and Machine Learning on Google Cloud Earned ינו 8, 2025 EST
Google Cloud Computing Foundations: Cloud Computing Fundamentals Earned אוג 27, 2024 EDT
[DEPRECATED] Google Cloud Big Data and Machine Learning Fundamentals Earned אוג 2, 2024 EDT
Set Up an App Dev Environment on Google Cloud Earned יול 17, 2024 EDT
Google Cloud Fundamentals: Core Infrastructure Earned יול 5, 2024 EDT

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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ביצוע אופטימיזציה לעלויות של Google Cloud תיאור: זו המשימה השנייה מתוך שתיים בנושא יסודות החיוב וניהול העלויות ב-Google Cloud. המשימה הזו מתאימה במיוחד לבעלי תפקידים הקשורים ל-IT או לפיננסים, שאחראים לביצוע האופטימיזציה של תשתית הענן בארגון. במהלך המשימה תלמדו כמה דרכים לשליטה ולביצוע אופטימיזציה בעלויות של Google Cloud, ביניהן הגדרת תקציבים והתראות, ניהול של מגבלות מכסה וניצול של הנחות תמורת התחייבות לשימוש. בשיעורים המעשיים תתנסו בכל מיני כלים שיעזרו לכם לשלוט בעלויות ב-Google Cloud, לבצע אופטימיזציה שלהן או לעודד את צוותי הטכנולוגיה להחיל את השיטות המומלצות לאופטימיזציה של העלויות. מטרות: להסביר על הדרישות המקדימות בתחום התפעול לצורך אופטימיזציה של העלויות בענן. להבדיל בין תקציבים למכסות. להגדיר תקציבים והתראות לסף החזוי ולסף בפועל לקבלת תשלום. להגדיר אמצעי בקרה על עלויות באמצעות מכסה. לנתח את ההנחות תמורת התחייבות לשימוש. להשתמש בשיטות מתקדמות לשליטה בעלויות ולאופטימיזציה שלהן. קהל: כל מי שמנהל את ההוצאות ב-Google Cloud בכל תפקיד בחברה. התפקידים שנכללים: פיננסים ו-IT, מנהלי רכש, מנ…

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Complete the introductory Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Managed Service for Apache Spark, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API.

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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills. The courses should be completed in the following order: 1. Google Cloud Computing Foundations: Cloud Computing Fundamentals 2. Google Cloud Computing Foundations: Infrastructure in Google Cloud 3. Google Cloud Computing Foundations: Networking and Security in Google Cloud 4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud This final course in the series reviews managed big data services, machine learning and its value, and how to demonstrate your skill set in Google Cloud further by earning Skill Badges.

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Complete the introductory Implementing Cloud Load Balancing for Compute Engine skill badge to demonstrate skills in the following: creating and deploying virtual machines in Compute Engine and configuring network and application load balancers.

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Earn a skill badge by completing the Build a Secure Google Cloud Network skill badge course, where you will learn about multiple networking-related resources to build, scale, and secure your applications on Google Cloud.

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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills. The courses should be completed in the following order: 1. Google Cloud Computing Foundations: Cloud Computing Fundamentals 2. Google Cloud Computing Foundations: Infrastructure in Google Cloud 3. Google Cloud Computing Foundations: Networking and Security in Google Cloud 4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud This third course covers cloud automation and management tools and building secure networks.

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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills. The courses should be completed in the following order: 1. Google Cloud Computing Foundations: Cloud Computing Fundamentals 2. Google Cloud Computing Foundations: Infrastructure in Google Cloud 3. Google Cloud Computing Foundations: Networking and Security in Google Cloud 4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud

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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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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills. The courses should be completed in the following order: 1. Google Cloud Computing Foundations: Cloud Computing Fundamentals 2. Google Cloud Computing Foundations: Infrastructure in Google Cloud 3. Google Cloud Computing Foundations: Networking and Security in Google Cloud 4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud This first course provides an overview of cloud computing, ways to use Google Cloud, and different compute options.

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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

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Earn a skill badge by completing the Set Up an App Dev Environment on Google Cloud skill badge course, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub.

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Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.

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