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Farhan Mondal

Membro dal giorno 2026

Campionato Oro

2718 punti
AI Boost Bites: Your Personal Feedback Agent Earned ott 3, 2026 EDT
[DEPRECATED] Gemini for Data Scientists and Analysts Earned ott 3, 2026 EDT
Arcade Adventure: App Dev and Cloud Observability Earned giu 17, 2026 EDT
Arcade Voyage: Identity Management and Pre-trained AI APIs Earned giu 17, 2026 EDT
Arcade Trail: Data Engineering and Information Protection Earned giu 16, 2026 EDT
Arcade Base Camp June 2026 Earned giu 5, 2026 EDT
Implementazione di Cloud Load Balancing per Compute Engine Earned giu 4, 2026 EDT
AI Boost Bites: Create Docs in Seconds Earned mag 31, 2026 EDT
AI Boost Bites: Email Content Creation Earned mag 31, 2026 EDT
Implement DevOps Workflows in Google Cloud Earned mag 31, 2026 EDT
Implement Cloud Security Fundamentals on Google Cloud Earned mag 31, 2026 EDT
Arcade Trail: Cloud Security and DevOps Foundations Earned mag 30, 2026 EDT
Crea un mesh di dati con Knowledge Catalog Earned mag 28, 2026 EDT
Arcade Voyage: Data Governance and Firebase Foundations Earned mag 28, 2026 EDT
Crea un sito web su Google Cloud Earned mag 27, 2026 EDT
Deploy and Manage Applications on Google App Engine Earned mag 27, 2026 EDT
Arcade Adventure: Modern App Deployment Earned mag 26, 2026 EDT
AI Boost Bites: Create Your Ultimate College Scouting Report Earned mag 22, 2026 EDT
Google DeepMind: Train A Small Language Model Earned mag 22, 2026 EDT
Machine Learning Operations (MLOps) with Agent Platform: Model Evaluation Earned mag 17, 2026 EDT
Machine Learning Operations (MLOps) for Generative AI Earned mag 17, 2026 EDT

This video covers how to build a personalized "Work with Me" agent using Gemini Gems, which helps streamline foundational feedback and makes your meetings more strategic and efficient.

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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps analyze customer data and predict product sales. You also learn how to identify, categorize, and develop new customers using customer data in BigQuery. Using hands-on labs, you experience how Gemini improves data analysis and machine learning workflows.

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Writing code is just the first step; you also need to know how to deploy it smoothly and keep it running at its best. In this adventure, you’ll get started with serverless setups by running code on Cloud Run Functions and connecting your services using Google Cloud Pub/Sub. From there, you'll work on the operations side—building out clean development environments, keeping tabs on multiple projects at once, and setting up smart alerts so you can spot and fix issues early. With a couple of challenge labs thrown into the mix, you’ll walk away with the skills needed to build, monitor, and scale apps on Google Cloud.

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Keeping your cloud resources secure and making your apps smarter are two essential skills for any cloud developer. In this voyage, you’ll start with the security fundamentals, learning how to configure service accounts, manage IAM permissions using gcloud, and set up custom roles. Once you've secured your environment, you'll work with Google Cloud's pre-trained AI tools—converting text to synthetic speech, translating languages on the fly, and transcribing audio files into text. Complete with two practical challenge labs to test your skills, you'll walk away knowing how to safely manage access to your cloud project while adding powerful language and speech features to your applications.

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Raw data is only useful if it is clean, structured, and secure. In this track, you’ll start by processing and preparing data using Dataprep, Dataflow templates, and Apache Spark. You'll learn how to clean up datasets so they are ready for machine learning models. From there, you'll focus on security by working with tools that find and mask sensitive information like personal IDs and credentials. You'll practice redacting critical details and creating safe, de-identified copies of your data in Cloud Storage. By finishing the hands-on challenge labs, you’ll show you can handle big data workflows while keeping confidential information completely safe.

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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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Completa il corso introduttivo con badge delle competenze Implementazione di Cloud Load Balancing per Compute Engine per dimostrare le tue competenze nei seguenti ambiti: creazione ed esecuzione del deployment di macchine virtuali in Compute Engine e configurazione di bilanciatori del carico di rete e delle applicazioni.

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This video covers how to use the 'Help me create' feature in Google Docs to generate a complete, formatted document by referencing content from other files in your Drive.

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This video covers how to use Gemini in Gmail to draft new emails, refine their tone, respond with context from Drive files, and use smart reply suggestions.

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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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Complete the intermediate Implement Cloud Security Fundamentals on Google Cloud skill badge course to demonstrate skills in the following: creating and assigning roles with Identity and Access Management (IAM); creating and managing service accounts; enabling private connectivity across virtual private cloud (VPC) networks; restricting application access using Identity-Aware Proxy; managing keys and encrypted data using Cloud Key Management Service (KMS); and creating a private Kubernetes cluster.

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Securing applications and streamlining delivery go hand in hand in modern cloud environments. In this trail, you’ll work with tools like Cloud KMS, Identity-Aware Proxy, and service accounts to manage access and protect resources. You’ll also explore private Kubernetes clusters, artifact management, and build CI/CD pipelines with Cloud Build—bringing together the essentials of cloud security and DevOps in practice.

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Completa il corso introduttivo con badge delle competenze Crea un mesh di dati con Knowledge Catalog per dimostrare le tue competenze nei seguenti ambiti: creare un mesh di dati con Knowledge Catalog per facilitare governance, discovery e sicurezza dei dati su Google Cloud. Ti eserciterai e metterai alla prova le tue competenze nel tagging degli asset, nell'assegnazione di ruoli IAM e nella valutazione della qualità dei dati in Knowledge Catalog.

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Working with data and applications requires the right balance of governance and agility. In this voyage, you’ll use Dataplex to organize, secure, and assess data quality while exploring concepts like data mesh. Alongside, you’ll get hands-on with Firebase—building serverless apps, working with Firestore, and managing data in real time—bringing together modern data management and application development.

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Ottieni il badge delle competenze introduttivo completando il corso con badge delle competenze Crea un sito web su Google Cloud. Questo corso si basa sulla serie Get Cooking in Cloud e tratta i seguenti argomenti:Deployment di un sito web su Cloud RunHosting di un'app web su Compute EngineCreazione, deployment e scalabilità del tuo sito web su Google Kubernetes EngineMigrazione da un'applicazione monolitica a un'architettura di microservizi utilizzando Cloud Build

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Earn a Skill Badge by completing the Deploy and Manage Applications on Google App Engine course, where you learn how to use App Engine with Python, Go, and PHP.

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Building and running applications on Google Cloud can take many forms—and this adventure brings them together. Get hands-on with App Engine, Cloud Run, Kubernetes Engine, and Compute Engine as you deploy applications, manage scaling, and explore modern architectures, including the shift from monolithic to microservices.

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This video covers how to use Gemini Deep Research with creative prompts to turn complex information into a fun, personalized analysis, like a sports scouting report and bracket.

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Complete the advanced Google DeepMind: Train A Small Language Model 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. Access this lab at no-cost by signing up for the no-cost subscription. Receive 35 free credits each month!

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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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