UNDRU ABHISHEK
Mitglied seit 2025
Mitglied seit 2025
Mit dem Skill-Logo zum Kurs Daten für ML-APIs in Google Cloud vorbereiten weisen Sie Grundkenntnisse in folgenden Bereichen nach: Bereinigen von Daten mit Dataprep von Trifacta, Ausführen von Datenpipelines in Dataflow, Erstellen von Clustern und Ausführen von Apache Spark-Jobs in Managed Service for Apache Spark sowie Aufrufen von ML-APIs, einschließlich der Cloud Natural Language API, Cloud Speech-to-Text API und Video Intelligence API.
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.
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!
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.
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.
Over 85% of enterprises are accelerating AI and cloud adoption to stay ahead. In this voyage, you’ll prepare and protect data using Dataprep and the Cloud Data Loss Prevention API, scan for vulnerabilities, and validate workloads. You’ll also build and deploy modern applications using Cloud Build, GKE pipelines, App Engine Flexible, and Artifact Registry — while creating AI-powered solutions with Vertex AI, Gemini, and Speech-to-Text. Together, these labs help you secure data, deploy confidently, and build intelligent cloud applications at scale.
This month's Arcade Sprint 3 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!
This month's Arcade Sprint 2 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!
This month's Arcade Sprint 1 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!
This month's Arcade Sprint 1 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!
Pup and Kit’s World Cup journey highlights how the right skills quietly power great experiences. As they plan, adapt, and stay in sync using data, automation, and cloud-based tools, the story nudges you to step into their shoes and build those capabilities yourself. Each lab mirrors a moment from their adventure, encouraging you to explore, experiment, and strengthen skills that help you stay prepared, move faster, and make smarter choices-whatever the situation demands.
As Pup and Kit move through the city between matches—booking plans on the fly, exploring structures built to last, and navigating busy streets—the story reflects what it takes to keep systems running smoothly behind the scenes. From securing storage and shaping networks to improving performance, reliability, and cost efficiency, these labs echo the quiet work that makes flexibility possible. Along the way, hands-on challenges and quizzes sharpen decision-making, so when it’s time for the next big play, everything is ready to perform.
Developers using managed cloud services can reduce infrastructure management effort by up to 60%, allowing more time to focus on building features that matter. In this level, you’ll gain hands-on experience with Cloud SQL, containerized workloads, and cloud-native application development through the Arcade ACE App Dev series, helping you design, deploy, and manage scalable applications more efficiently.
Getting started with cloud and data tools is all about building strong fundamentals. In this voyage, you’ll gain hands-on skills by working with Google Cloud APIs, Compute Engine, Cloud Storage, networking, and serverless services. You’ll also explore how to collect, validate, analyze, and visualize data using Google Sheets and Forms, while learning how to manage secure access with Vault policies. Together, these labs help you build confidence with core cloud services and everyday data workflows that support efficient, secure, and scalable solutions.
It begins with a simple question: Where to next? Inspired by Agoda’s AI-powered travel platform, this challenge shows how AI helps turn preferences into vivid destinations, detailed itineraries, and stunning visuals. You’ll build intelligent apps that understand intent, generate rich content, and deliver real-time recommendations — supported by cloud-native services that keep everything fast, reliable, and seamless. The result: planning that feels effortless, inspiring, and part of the journey itself.
In diesem Kurs erfahren Sie, wie Sie Gemini, ein auf generativer KI basierendes Produkt von Google Cloud, bei der Analyse von Kundendaten und der Prognose von Produktverkäufen unterstützen kann. Außerdem lernen Sie, wie Sie mithilfe von Kundendaten in BigQuery Neukunden identifizieren, kategorisieren und gewinnen können. In den praxisorientierten Labs erfahren Sie, wie Gemini Datenanalysen und Workflows für Machine Learning optimiert. Duet AI wurde umbenannt in Gemini, unser Modell der nächsten Generation.
In diesem Einführungskurs im Microlearning-Format wird erklärt, was verantwortungsbewusste Anwendung von KI bedeutet, warum sie wichtig ist und wie Google dies in seinen Produkten berücksichtigt. Darüber hinaus werden die 7 KI-Grundsätze von Google behandelt.
In diesem Einführungskurs im Microlearning-Format wird untersucht, was Large Language Models (LLM) sind, für welche Anwendungsfälle sie genutzt werden können und wie die LLM-Leistung durch Feinabstimmung von Prompts gesteigert werden kann. Darüber hinaus werden Tools von Google behandelt, die das Entwickeln eigener Anwendungen basierend auf generativer KI ermöglichen.
In diesem Einführungskurs im Microlearning-Format wird erklärt, was generative KI ist, wie sie genutzt wird und wie sie sich von herkömmlichen Methoden für Machine Learning unterscheidet. Darüber hinaus werden Tools von Google behandelt, mit denen Sie eigene generative KI-Anwendungen entwickeln können.
Weisen Sie mit einem Skill-Logo Ihre Kenntnisse über Streamanalyse in BigQuery nach. In diesem Kurs wenden Sie sowohl Pub/Sub und Dataflow als auch BigQuery an, um Daten für die Analyse zu streamen.