Amarpreet Singh
Member since 2025
Silver League
20093 points
Introduction to AI Agents
Earned Şub 23, 2026 EST
Build a Certification Study Guide: PSOE Exam Prep
Earned Şub 12, 2026 EST
Serverless Data Processing with Dataflow: Develop Pipelines
Earned Oca 21, 2026 EST
Serverless Data Processing with Dataflow: Foundations
Earned Oca 21, 2026 EST
Build a Certification Study Guide: PDE Exam Prep
Earned Oca 18, 2026 EST
[DEPRECATED] AI Boost Bites: AI Power-Ups for Google Workspace
Earned Oca 13, 2026 EST
AI Boost Bites: Your Personal Feedback Agent
Earned Oca 13, 2026 EST
Optimize Agent Behavior
Earned Oca 12, 2026 EST
Build Your First Agent with Agent Development Kit (ADK)
Earned Oca 12, 2026 EST
Agent Fundamentals
Earned Oca 11, 2026 EST
Deploy and Scale AI Models with Cloud Run
Earned Oca 11, 2026 EST
Configure Gemini Code Assist for Organizations
Earned Oca 10, 2026 EST
Model Armor: Securing AI Deployments
Earned Oca 9, 2026 EST
Introduction to Security in the World of AI
Earned Oca 9, 2026 EST
Machine Learning Operations (MLOps) with Agent Platform: Model Evaluation
Earned Oca 9, 2026 EST
Üretken Yapay Zeka İçin Makine Öğrenimi Operasyonları (MLOps)
Earned Oca 9, 2026 EST
Gemini for end-to-end SDLC
Earned Oca 2, 2026 EST
Üretken Yapay Zeka Ajanları: Kuruluşunuzu Dönüştürün
Earned Ara 31, 2025 EST
Üretken Yapay Zeka Uygulamaları: İşinizi Dönüştürün
Earned Ara 31, 2025 EST
Üretken Yapay Zeka: Ekosistemi Tanıma
Earned Ara 31, 2025 EST
Üretken Yapay Zeka: Temel Kavramları Öğrenin
Earned Ara 29, 2025 EST
Üretken Yapay Zeka: Chatbot'tan Daha Fazlası
Earned Ara 29, 2025 EST
Üretken Yapay Zekaya Giriş
Earned Ara 22, 2025 EST
Gain a conceptual overview of AI Agents. Discover how AI Agents use autonomous action and reasoning to solve complex problems. You’ll explore the technical architecture—models, tools, and orchestration—that enables agents to learn, plan, and achieve goals on your behalf.
Learn more
Learn how to use Gemini Notebook to create a personalized study guide for the Professional Security Operations Engineer certification exam.
You'll review Gemini Notebook features, create a notebook in Gemini Notebook, and learn how to use a study guide to practice for a certification exam.
Learn more
In this second installment of the Dataflow course series, we are going to be diving deeper on developing pipelines using the Beam SDK. We start with a review of Apache Beam concepts. Next, we discuss processing streaming data using windows, watermarks and triggers. We then cover options for sources and sinks in your pipelines, schemas to express your structured data, and how to do stateful transformations using State and Timer APIs. We move onto reviewing best practices that help maximize your pipeline performance. Towards the end of the course, we introduce SQL and Dataframes to represent your business logic in Beam and how to iteratively develop pipelines using Beam notebooks.
Learn more
This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.
Learn more
Learn how to use Gemini Notebook to create a personalized study guide for the Professional Data Engineer certification exam.
You'll review Gemini Notebook features, create a notebook in Gemini Notebook, and learn how to use a study guide to practice for a certification exam.
Learn more
This video covers five key ways to use Google's AI tools, including Gemini in Workspace, the Gemini app, and NotebookLM, to enhance your daily productivity.
Learn more
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.
Learn more
You’ve built your first agent—now it’s time to take it further. In this course, you’ll advance your skills by learning how to turn a basic AI agent into a sophisticated, precise assistant—applying advanced instructions, model selection, planning capabilities, and structured output patterns.
Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
Join the community forum for questions and discussions
Learn more
Turn your understanding of agents into practical reality by building, configuring, and running your first AI agent using Google’s Agent Development Kit (ADK).
In this hands-on course, you’ll set up a complete ADK development environment, create agents with both Python code and YAML configuration, and run them through multiple interfaces. You’ll also learn the core parameters that define agent behavior, taking what you learned in course 1 and applying it to working code.Explore other content in the Gemini Enterprise Agent Ready (GEAR) program
Learn more
This course introduces the fundamentals of AI agents and explores where agents add value in the real world. It provides a foundation for developers, architects, and technical decision-makers who want to understand AI systems through the lens of autonomous, goal-directed behavior.
Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
Learn more
AI inference is the process of using a trained machine learning model to make predictions on new, unseen data by applying learned patterns. This course is designed for developers, data scientists, and ML engineers interested in quickly deploying AI inference services on Cloud Run. It is useful for those familiar with cloud-based serverless application deployment solutions, but who may not have experience with running AI inference using Google Cloud serverless products.
The course includes examples that deploys a model for AI inference with GPUs and integrates gen AI apps with data storage services.
Learn more
This course is designed for Google Cloud developers and DevOps engineers who have basic knowledge of the Google Cloud console and are responsible for configuring Gemini Code Assist for an organization. The course introduces the benefits of Gemini Code Assist and compares the features of the different Gemini Code Assist editions. The course also shows you how to configure and manage Gemini Code Assist within an organization.
Learn more
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 Enterprise Agent Ready (GEAR) program.
Learn more
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.
Learn more
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.
Learn more
Bu kurs, MLOps ekiplerinin üretken yapay zeka modellerini dağıtırken ve yönetirken karşılaştığı zorlukların üstesinden gelmek için gereken bilgi ve araçları sağlamaktadır. Ayrıca yapay zeka ekiplerinin, MLOps süreçlerini kolaylaştırıp üretken yapay zeka projelerinde başarıya ulaşması için Vertex AI'ın nasıl yardımcı olduğunu öğrenmenizi amaçlamaktadır.
Learn more
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.
Learn more
Üretken Yapay Zeka Ajanları: Kuruluşunuzu Dönüştürün, Üretken Yapay Zeka Lideri öğrenme rotasının beşinci ve son kursudur. Bu kursta, kuruluşların özel üretken yapay zeka ajanlarını kullanarak belirli işletme zorluklarının üstesinden nasıl gelebileceği ele alınmaktadır. Temel bir üretken yapay zeka ajanı oluşturarak pratik yapacak, bu ajanların modeller, mantık döngüleri ve araçlar gibi bileşenlerini keşfedeceksiniz.
Learn more
Üretken Yapay Zeka Uygulamaları ile İşinizi Dönüştürün, Üretken Yapay Zeka Lideri öğrenme rotasının dördüncü kursudur. Bu kursta, Google'ın üretken yapay zeka uygulamaları (ör. Gemini ile Google Workspace ve NotebookLM) tanıtılmaktadır. Temellendirme, veriyle artırılmış üretim, etkili istemler hazırlama ve otomatik iş akışları oluşturma gibi kavramlar hakkında size rehberlik eder.
Learn more
Üretken Yapay Zeka: Ekosistemi Tanıma, Üretken Yapay Zeka Lideri öğrenme rotasının üçüncü kursudur. Üretken yapay zeka, çalışma şeklimizi ve çevremizle etkileşim kurma biçimimizi değiştiriyor. Peki bir lider olarak bu teknolojinin gücünden yararlanıp işletmenizde nasıl gerçek sonuçlar elde edebilirsiniz? Bu kursta, üretken yapay zeka çözümleri oluşturmanın farklı katmanlarını, Google Cloud'un sunduğu hizmetleri ve çözüm seçerken dikkate alınması gereken faktörleri keşfedeceksiniz.
Learn more
Üretken Yapay Zeka: Temel Kavramları Öğrenin, Üretken Yapay Zeka Lideri öğrenme rotasının ikinci kursudur. Bu kursta, yapay zeka, makine öğrenimi ve üretken yapay zeka arasındaki farkları keşfederek üretken yapay zekanın temel kavramlarını öğrenecek ve çeşitli veri türlerinin üretken yapay zekanın kurumsal zorlukları çözmesine nasıl yardımcı olduğunu anlayacaksınız. Temel modellerin sınırlamalarını gidermeye yardımcı olacak Google Cloud stratejileriyle sorumlu ve güvenli yapay zeka geliştirme ve dağıtımının temel zorlukları hakkında da bilgi edineceksiniz.
Learn more
Üretken Yapay Zeka: Chatbot'tan Daha Fazlası, Gen AI Leader öğrenme rotasının ilk kursudur ve ön koşul gerektirmez. Bu kurs, chatbot'larla ilgili temel bilgilerin ötesine geçerek üretken yapay zekanın kuruluşunuza sağlayabileceği gerçek potansiyeli keşfetmeyi amaçlamaktadır. Üretken yapay zekanın gücünden yararlanmak için çok önemli olan temel modeller ve istem mühendisliği gibi kavramları keşfedeceksiniz. Kurs ayrıca kuruluşunuz için başarılı bir üretken yapay zeka stratejisi geliştirirken dikkate almanız gereken önemli noktalar hakkında size rehberlik edecek.
Learn more
Bu giriş seviyesi mikro öğrenme kursu, üretken yapay zekanın ne olduğunu, nasıl kullanıldığını ve geleneksel makine öğrenimi yöntemlerinden farkını açıklamayı amaçlamaktadır. Ayrıca kendi üretken yapay zeka uygulamalarınızı geliştirebileceğiniz Google araçları da ele alınmaktadır.
Learn more
