Omar ALSUWEITI
Date d'abonnement : 2024
Ligue de bronze
18713 points
Configure Global external Application Load Balancer with an Unmanaged Instance Group Backend
Earned juin 10, 2026 EDT
Migrate Virtual Machines to Google Cloud
Earned juin 10, 2026 EDT
Deploy and Evaluate Model Garden Models
Earned jan. 24, 2026 EST
Deploy an Agent with Agent Development Kit (ADK)
Earned jan. 24, 2026 EST
Modernize IT Infrastructure with Google Cloud
Earned jan. 5, 2026 EST
Deliver Effective Product Demos
Earned déc. 27, 2025 EST
Discover Business Value for Customers
Earned déc. 26, 2025 EST
Edit images with Imagen
Earned nov. 9, 2025 EST
Understand and Respond to Media
Earned nov. 9, 2025 EST
[DEPRECATED] Evaluate ADK Agents with Vertex AI Gen AI Evaluation Service
Earned nov. 8, 2025 EST
Machine Learning Operations (MLOps) with Agent Platform: Model Evaluation
Earned nov. 8, 2025 EST
[DEPRECATED] Model evaluation on Vertex AI
Earned nov. 8, 2025 EST
Generate and Edit Media in Agent Platform
Earned oct. 27, 2025 EDT
Evaluate Gen AI model and agent performance
Earned oct. 22, 2025 EDT
Explore Google's Gen AI Models
Earned août 12, 2025 EDT
Configure your Workplace: Google Workspace for IT Admins
Earned oct. 30, 2024 EDT
Implement Cloud Collaboration and Productivity Workflows
Earned oct. 21, 2024 EDT
Build and Deploy a Generative AI solution using a RAG framework
Earned août 10, 2024 EDT
Text Prompt Engineering Techniques
Earned août 5, 2024 EDT
[DEPRECATED] Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned août 2, 2024 EDT
Cloud Hero Infra II Skills
Earned mai 21, 2024 EDT
Complete this skill badge to demponstrate your ability to configure Google Cloud external HTTPS Load Balancing to expose web applications to the public internet via an Unmanaged Instance Group.
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In this course, you follow the full application modernization journey. You start by lifting and shifting a web application to a virtual machine, then evolve the architecture by containerizing the application for Kubernetes orchestration, and finally deploy it to a serverless platform.
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In this skill bagde, you will demonstrate your ability to use and compare models available in the Vertex AI Model Garden. You'll deploy a model to a Vertex AI Endpoint, query other models via their API, and use Vertex AI's Gen AI evaluation service to measure the performance of multiple models.
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In this challenge lab, you will demonstrate your ability to author agents using Agent Development Kit (ADK), deploy those agents to Agent Engine, and use them from a web app. Complete the challenge lab to earn a Google Cloud skill badge.
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This Infrastructure Modernization course consists of a series of advanced-level labs designed to validate your proficiency in modernizing a customer's IT infrastructure using Google Cloud. Each lab presents a set of the required tasks that you must complete with minimal assistance.
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This course is designed to enhance your demonstration skills and help you deliver impactful presentations.
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The course aims to train Google technical sales partners on the business value discovery process using proprietary content.
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Complete the Edit images with Imagen skill badge to demonstrate your skills with Imagen's mask modes and editing modes to edit images according to certain prompts.
A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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Explore a variety of techniques for using Gemini to understand image, audio, video, and live-streaming media. You will discover how meaningful information can be extracted from each of these forms of media to use in media-rich applications.
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Evaluation is important at every step of your Gen AI development process. In this course you will learn how to evaluate gen AI agents built using agent frameworks.
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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 delves into the complexities of assessing the quality of large language model outputs. It examines the challenges enterprises face due to the subjective and sometimes incorrect nature of LLM responses, including hallucinations and inconsistent results. The course introduces various evaluation metrics for different tasks like classification, text generation, and question answering, such as Accuracy, Precision, Recall, F1 score, ROUGE, BLEU, and Exact Match. It also explores evaluation methods offered by Vertex AI LLM Evaluation Services, including computation-based, autorater, and human evaluation, providing insights into their application and benefits. Finally, the module covers how to unit test LLM applications within Vertex AI.
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This course dives into the world of media creation with Gemini Enterprise Agent Platform using Nano Banana and Veo. Learn to design text and image-based prompts to produce high-quality, consistent images, and captivating, cinematic video clips. You'll also learn to refine generated assets using core editing functions. Finally, this course guides you through multi-tool workflow implementations for creative control and consistency, empowering you to transform images into video clips and leverage Gemini for prompt writing assistance and feedback.
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Complete the Evaluate Gen AI model and agent performance skill badge to demonstrate your ability to use the Gen AI evaluation service. You will evaluate models to select the best model for a given task, compare models against each other and evaluate the performance of agents.
A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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Learn how to leverage Gemini multimodal capabilities to process and generate text, images, and audio and to integrate Gemini through APIs to perform tasks such as content creation and summarization.
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Earn a skill badge by completing the Configure your Workplace: Google Workspace for IT Admins quest, where you will get try out the Admin role for Workspace and learn to provision Groups, manage applications, security, and manage Meet. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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Earn an introductory skill badge by completing the Implement Cloud Collaboration and Productivity Workflows course, where you will get introduced to Google's collaborative platform and learn to use Gmail, Calendar, Meet, Drive, Sheets, and AppSheet.
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Demonstrate your ability to implement updated prompt engineering techniques and utilize several of Gemini's key capacilities including multimodal understanding and function calling. Then integrate generative AI into a RAG application deployed to Cloud Run. This course contains labs that are to be used as a test environment. They are deployed to test your understanding as a learner with a limited scope. These technologies can be used with fewer limitations in a real world environment.
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Text Prompt Engineering Techniques introduces you to consider different strategic approaches & techniques to deploy when writing prompts for text-based generative AI tasks.
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This course on Integrate Vertex AI Search and Conversation into Voice and Chat Apps is composed of a set of labs to give you a hands on experience to interacting with new Generative AI technologies. You will learn how to create end-to-end search and conversational experiences by following examples. These technologies complement predefined intent-based chat experiences created in Dialogflow with LLM-based, generative answers that can be based on your own data. Also, they allow you to porvide enterprise-grade search experiences for internal and external websites to search documents, structure data and public websites.
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Get hands-on practice with Google Cloud! You will compete with your peers to see who can finish this game with the most points. Speed and accuracy will be used to calculate your scores — earn points by completing the labs accurately and bonus points for speed! Be sure to click “End” where you’re done with each lab to be rewarded your points.
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