Abdullaha Saif
Membro dal giorno 2026
Campionato Argento
4726 punti
Implement Speech and Language Solutions with Pre-trained APIs
Earned ott 24, 2026 EDT
Arcade Voyage: Language, Voice, and Multimodal Processing
Earned ott 24, 2026 EDT
Deploy Your First Agent
Earned ott 24, 2026 EDT
Build and Deploy Agents in Production
Earned ott 23, 2026 EDT
Analyze Speech and Language with Google APIs
Earned ott 23, 2026 EDT
Model Armor: Securing AI Deployments
Earned ott 21, 2026 EDT
Introduction to Security in the World of AI
Earned ott 20, 2026 EDT
Deploy Kubernetes Applications on Google Cloud
Earned ott 19, 2026 EDT
Create and Manage AlloyDB Instances
Earned ott 17, 2026 EDT
Trick-or-Metric
Earned ott 17, 2026 EDT
Set Up a Google Cloud Network
Earned ott 17, 2026 EDT
Arcade Simulator: Site Reliability Engineer
Earned ott 17, 2026 EDT
Gemini for end-to-end SDLC
Earned ott 17, 2026 EDT
AI Boost Bites: Tame Your Inbox with AI
Earned ott 17, 2026 EDT
AI responsabile per sviluppatori: equità e bias
Earned ott 16, 2026 EDT
Machine Learning Operations (MLOps) with Agent Platform: Model Evaluation
Earned ott 16, 2026 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned ott 16, 2026 EDT
Implement DevOps Workflows in Google Cloud
Earned ott 16, 2026 EDT
Monitor Environments with Google Cloud Managed Service for Prometheus
Earned ott 16, 2026 EDT
Sviluppa la tua rete Google Cloud
Earned ott 16, 2026 EDT
Arcade Base Camp October 2026
Earned ott 16, 2026 EDT
Implement Event-Driven Messaging and Automation Workflows
Earned ott 16, 2026 EDT
Earn the Introductory Skill Badge by completing the Implement Speech and Language Solutions with Pre-trained APIs course, where you learn how to use speech related API tools to synthesise and transcribe speech.
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Transforming unstructured multimedia into searchable, structured data is the core of modern cognitive computing. In this voyage, you'll analyze sentiment and extract entities using the Cloud Natural Language API, pairing language workflows with Apache Spark to demonstrate big-data scalability. From there, you'll branch into multimodal synthesis—generating lifelike audio using Text-to-Speech, bridging global barriers with the Cloud Translation API, and annotating video streams via Video Intelligence. Complete both challenge labs to prove you can deploy pre-trained models that read, speak, translate, and inspect content at scale.
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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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Earn a skill badge by completing the Analyze Speech and Language with Google APIs quest, where you learn how to use the Natural Language and Speech APIs in real-world settings.
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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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Complete the intermediate Deploy Kubernetes Applications on Google Cloud skill badge course to demonstrate skills in the following: Configuring and building Docker container images.Creating and managing Google Kubernetes Engine (GKE) clusters.Utilizing kubectl for efficient cluster management.Deploying Kubernetes applications with robust continuous delivery (CD) practices.
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Complete the introductory Create and Manage AlloyDB Instances skill badge to demonstrate skills in the following: performing core AlloyDB operations and tasks, migrating to AlloyDB from PostgreSQL, administering an AlloyDB database, and accelerating analytical queries using the AlloyDB Columnar Engine.
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Don't let rogue infrastructure give you a fright this Halloween. In this spooky journey, you'll conjure Google Cloud Managed Service for Prometheus to monitor eerie anomalies, migrate wandering workloads, and banish runaway metric costs. Then, summon the raw analytical power of AlloyDB—brewing migrations from PostgreSQL and supercharging heavy query speeds with the Columnar Engine. Slay both challenge labs to prove no gremlin, phantom spike, or bloated query can haunt your cloud.
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Earn a skill badge by completing the Set Up a Google Cloud Network skill badge course, where you will learn how to perform basic networking tasks on Google Cloud Platform - create a custom network, add subnets firewall rules, then create VMs and test the latency when they communicate with each other.
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Welcome to this month's Arcade Simulator, where you'll step into the shoes of a Site Reliability Engineer tasked with keeping production fast and resilient. You'll build automated CI/CD pipelines with Cloud Build, store artifacts securely, and manage Kubernetes rollouts on GKE. Then, configure custom VPC networks, lock down firewalls, and benchmark VM latency to eliminate performance bottlenecks. Clear both challenge labs to prove you can automate releases, secure infrastructure, and maintain rock-solid uptime.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you use Google products and services to develop, test, deploy, and manage applications. With help from Gemini, you learn how to develop and build a web application, fix errors in the application, develop tests, and query data. Using a hands-on lab, you experience how Gemini improves the software development lifecycle (SDLC).
Duet AI was renamed to Gemini, our next-generation model.
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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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Questo corso introduce i concetti di AI responsabile e i principi dell'AI. Tratta le tecniche per identificare sostanzialmente l'equità e i bias e mitigare i bias nelle pratiche di AI/ML. Illustra metodi e strumenti pratici per implementare le best practice dell'AI responsabile utilizzando gli strumenti open source e i prodotti Google Cloud.
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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 intermediate Implement DevOps Workflows in Google Cloud skill badge to demonstrate skills in the following: creating and managing Git repositories, launching, managing, and scaling deployments on Google Kubernetes Engine (GKE), and architecting CI/CD pipelines that automate container image builds and deployments to GKE.
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Earn a skill badge by completing the Monitor Environments with Google Cloud Managed Service for Prometheus skill badge course, where you learn Kubernetes Monitoring with Google Cloud Managed Service for Prometheus.
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Guadagna un badge delle competenze completando il corso Sviluppa la tua rete Google Cloud, in cui apprenderai diversi modi per eseguire il deployment e il monitoraggio delle applicazioni, tra cui: esplorare i ruoli IAM e aggiungere/rimuovere l'accesso ai progetti, creare reti VPC, eseguire il deployment e il monitoraggio delle VM di Compute Engine, scrivere query SQL, eseguire il deployment e il monitoraggio delle VM in Compute Engine ed eseguire il deployment delle applicazioni utilizzando Kubernetes con più approcci al deployment.
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Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!
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Earn a skill badge by completing the Implement Event-Driven Messaging and Automation Workflows skill badge course, where you learn how to use Pub/Sub through the Cloud console, how Cloud Scheduler jobs can save you effort, and when Pub/Sub Lite can save you money on high-volume event ingestion.
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