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Kamran Faroze

Jest członkiem od 2026

Liga srebrna

3807 pkt.
Arcade Base Camp October 2026 Earned paź 24, 2026 EDT
Budowanie sieci w Google Cloud Earned paź 24, 2026 EDT
Implement Event-Driven Messaging and Automation Workflows Earned paź 24, 2026 EDT
Implement Speech and Language Solutions with Pre-trained APIs Earned paź 24, 2026 EDT
Arcade Voyage: Language, Voice, and Multimodal Processing Earned paź 24, 2026 EDT
Analyze Speech and Language with Google APIs Earned paź 24, 2026 EDT
Create ML Models with BigQuery ML Earned paź 24, 2026 EDT
Introduction to Data Analytics in Google Cloud Earned paź 23, 2026 EDT
Using BigQuery Machine Learning for Inference Earned paź 23, 2026 EDT
[DEPRECATED] Gemini for Data Scientists and Analysts Earned paź 19, 2026 EDT

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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Aby zdobyć odznakę umiejętności, ukończ szkolenie Budowanie sieci w Google Cloud, w trakcie którego poznasz różne sposoby wdrażania i monitorowania aplikacji i dowiesz się, jak: przeglądać role uprawnień, dodawać/usuwać dostęp do projektu, tworzyć sieci VPC, wdrażać i monitorować maszyny wirtualne Compute Engine, pisać zapytania SQL oraz wdrażać aplikacje przy użyciu różnych metod w Kubernetes.

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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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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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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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Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.

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Welcome learner! This is the first of five courses of the Google Cloud Data Analytics Certificate. Jump into the world of data analytics and cloud computing. Explore the data lifecycle in the cloud and gain a better understanding of the common tools used by data analysts.

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Learn about BigQuery ML for Inference, why Data Analysts should use it, its use cases, and supported ML models. You will also learn how to create and manage these ML models in BigQuery.

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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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