Long Nguyen Hoang
Member since 2025
Silver League
3364 points
Generative AI Explorer - Agent Platform
Earned Kas 20, 2025 EST
Work with Gemini Models in BigQuery
Earned Eyl 30, 2025 EDT
[DEPRECATED] Gemini for Data Scientists and Analysts
Earned Eyl 30, 2025 EDT
Geliştiriciler İçin Sorumlu Yapay Zeka: Gizlilik ve Güvenlik
Earned Eyl 30, 2025 EDT
[Deprecated] Advanced ML: ML Infrastructure
Earned Eyl 30, 2025 EDT
Implement Sensitive Data Protection on Google Cloud
Earned Eyl 30, 2025 EDT
Çoklu Format Destekli Gemini ve Çok Formatlı RAG ile Zengin Belgeleri İnceleme
Earned Eyl 29, 2025 EDT
Implement Multimodal Vector Search with BigQuery
Earned Eyl 29, 2025 EDT
Develop Gen AI Apps with Gemini and Streamlit
Earned Eyl 29, 2025 EDT
Explore Generative AI in Agent Platform
Earned Eyl 29, 2025 EDT
Use Machine Learning APIs on Google Cloud
Earned Eyl 29, 2025 EDT
Manage Kubernetes in Google Cloud
Earned Eyl 29, 2025 EDT
Google Cloud'da Makine Öğrenimi API'leri İçin Veri Hazırlama
Earned Eyl 28, 2025 EDT
Intermediate ML: TensorFlow on Google Cloud
Earned Eyl 28, 2025 EDT
The Basics of Google Cloud Compute
Earned Eyl 28, 2025 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned Eyl 28, 2025 EDT
Agent Platform'da İstem Tasarımı
Earned Eyl 27, 2025 EDT
The Generative AI Explorer - Agent Platform course is a collection of labs on how to use Generative AI on Google Cloud. Through the labs, you will learn about how to use the Gemini models in Agent Platform. You will also learn about prompt design, best practices, and how it can be used for ideation, text classification, text extraction, text summarization, and more. You will also learn how to tune a foundation model by training it via custom training in Agent Platform and deploy it to an endpoint in Agent Platform.
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This course demonstrates how to use AI/ML models for generative AI tasks in BigQuery. Through a practical use case involving customer relationship management, you learn the workflow of solving a business problem with Gemini models. To facilitate comprehension, the course also provides step-by-step guidance through coding solutions using both SQL queries and Python notebooks.
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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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Bu kursta, yapay zekada gizlilik ve güvenlik konuları ele alınmaktadır. Kurs boyunca, Google Cloud ürünleri ve açık kaynak araçları kullanarak yapay zekayla ilgili önerilen gizlilik ve güvenlik uygulamalarını benimsemenize yardımcı olacak pratik yöntemler ile araçları tanıyacaksınız.
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Machine Learning is one of the most innovative fields in technology, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job. In this advanced-level course, you will get hands-on practice with machine learning at scale and how to employ the advanced ML infrastructure available on Google Cloud.
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Complete the Implement Sensitive Data Protection on Google Cloud Skill Badge course to demonstrate skills in the following: using Sensitive Data Protection services (including the Cloud Data Loss Prevention API) to inspect, redact, and de-identify sensitive data in Google Cloud.
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Orta düzeydeki Çoklu Format Destekli Gemini ve Çok Formatlı RAG ile Zengin Belgeleri İnceleme beceri rozetini tamamlayarak şu konulardaki becerilerinizi kanıtlayabilirsiniz: Çok formatlı istemler kullanarak metin ve görsel formatlarındaki verilerden bilgi elde etme, video açıklaması oluşturabilme ve Gemini ile çok formatlılıktan yararlanarak videonun kapsamındaki bilgilerden çok daha fazlasına ulaşabilme; metin ve görüntü içeren dokümanların meta verilerini oluşturma, gerekli tüm metin parçalarına ulaşma ve Gemini'ın Çok Formatlı Almayla Artırılmış Üretim (RAG) mimarisini kullanarak alıntıları yazdırma.
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Complete the intermediate Implement Multimodal Vector Search with BigQuery skill badge to demonstrate skills in the following: using Gemini in BigQuery to generate and debug SQL, conduct sentiment analysis, summarize text and identify keywords, generate embeddings, create a Retrieval Augmented Generation (RAG) pipeline, and implement multimodal vector search.
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Complete the intermediate Develop Gen AI Apps with Gemini and Streamlit skill badge course to demonstrate skills in text generation, applying function calls with the Python SDK and Gemini API, and deploying a Streamlit application with Cloud Run. In this course, you learn Gemini prompting, test Streamlit apps in Cloud Shell, and deploy them as Docker containers in Cloud Run. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Complete the intermediate Explore Generative AI in Agent Platform skill badge to demonstrate skills in text generation, image and video analysis for enhanced content creation, and applying function calling techniques within the Gemini API. Discover how to leverage sophisticated Gemini techniques, explore multimodal content generation, and expand the capabilities of your AI-powered projects. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Translation API, and Cloud Natural Language API.
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Complete the intermediate Manage Kubernetes in Google Cloud skill badge course to demonstrate skills in the following: managing deployments with kubectl, monitoring and debugging applications on Google Kubernetes Engine (GKE), and continuous delivery techniques.
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Giriş düzeyindeki Google Cloud'da Makine Öğrenimi API'leri İçin Veri Hazırlama beceri rozetini tamamlayarak şu konulardaki becerilerinizi gösterin: Dataprep by Trifacta ile veri temizleme, Dataflow'da veri ardışık düzenleri çalıştırma, Managed Service for Apache Spark'ta küme oluşturma ve Apache Spark işleri çalıştırma ve makine öğrenimi API'lerini (Cloud Natural Language API, Google Cloud Speech-to-Text API ve Video Intelligence API dahil olmak üzere) çağırma.
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TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.
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Earn a skill badge by completing the The Basics of Google Cloud Compute skill badge course, where you learn how to work with virtual machines (VMs), persistent disks, and web servers using Compute Engine.
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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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Agent Platform'da istem mühendisliği, görüntü analizi ve çok modlu üretken teknikler gibi becerileri göstermek için Agent Platform'da İstem Tasarımı beceri rozetini tamamlayın. Etkili istemlerin nasıl oluşturulacağını, üretken yapay zeka çıktılarına nasıl rehberlik edileceğini ve Gemini modellerinin gerçek dünyadaki pazarlama senaryolarına nasıl uygulanacağını keşfedin.
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