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Aplica tus habilidades en la consola de Google Cloud

Khushi Choudhary

Miembro desde 2025

AI Infrastructure: Networking Techniques Earned dic 30, 2025 EST
AI Infrastructure: Storage Options Earned dic 30, 2025 EST
AI Infrastructure: Deployment Types Earned dic 30, 2025 EST
AI Infrastructure: Cloud TPUs Earned dic 30, 2025 EST
AI Infrastructure: Cloud GPUs Earned dic 30, 2025 EST
AI Infrastructure: Introduction to AI Hypercomputer Earned dic 30, 2025 EST
Trivia de Google Skills Arcade Diciembre 2025 Semana 1 Earned dic 15, 2025 EST
Cómo utilizar el aprendizaje automático de BigQuery para ejecutar inferencias Earned dic 12, 2025 EST
Google DeepMind: 01 Build Your Own Small Language Model Earned nov 4, 2025 EST
Zona de certificación de Google Skills Arcade, octubre de 2025 Earned nov 2, 2025 EST
Gemini para analistas y científicos de datos Earned oct 31, 2025 EDT

Welcome to the "AI Infrastructure: Networking Techniques" course. In this course, you'll learn to leverage Google Cloud's high-bandwidth, low-latency infrastructure to optimize data transfer and communication between all the components of your AI system. By the end, you'll grasp the critical role networking plays across the entire AI pipeline from data ingestion and training to inference and be able to apply best practices to ensure your workloads run at maximum speed.

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In this course, you’ll take a comprehensive journey through the storage solutions available on Google Cloud, specifically tailored for AI and high-performance computing (HPC) workloads. You’ll learn how to choose the right storage for each stage of the ML lifecycle. You’ll explore how to optimize for I/O performance during training, manage massive datasets for data preparation, and serve model artifacts with low latency. Through practical examples and demonstrations, you’ll gain the expertise to design robust storage solutions that accelerate your AI innovation.

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This course provides a comprehensive guide to deploying, managing, and optimizing AI and high-performance computing (HPC) workloads on Google Cloud. Through a series of lessons and practical demonstrations, you’ll explore diverse deployment strategies, ranging from highly customizable environments using Google Compute Engine (GCE) to managed solutions like Google Kubernetes Engine (GKE). Specifically, you’ll learn how to create clusters and deploy GKE for inference.

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Welcome to the Cloud TPUs course. We'll explore the advantages and disadvantages of TPUs in various scenarios and compare different TPU accelerators to help you choose the right fit. You'll learn strategies to maximize performance and efficiency for your AI models and understand the significance of GPU/TPU interoperability for flexible machine learning workflows. Through engaging content and practical demos, we'll guide you step-by-step in leveraging TPUs effectively.

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Curious about the powerful hardware behind AI? This course breaks down performance-optimized AI computers, showing you why they're so important. We'll explore how CPUs, GPUs, and TPUs make AI tasks super fast, what makes each one unique, and how AI software gets the most out of them. By the end, you'll know exactly how to pick the right compute for your AI projects, helping you make smart choices for your AI workkoads.

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Ready to get started with AI Hypercomputers? This course makes it easy! We'll cover the basics of what they are and how they help AI with AI workloads. You'll learn about the different components inside a hypercomputer, like GPUs, TPUs, and CPUs, and discover how to pick the right deployment approach for your needs.

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¡Hola! ¡Estás invitado a jugar con el Arcade Trivia para la Semana 1 de Diciembre! Juega durante todo el mes y mejora tu aprendizaje en la nube. Cada semana, lanzaremos un nuevo conjunto de preguntas para poner a prueba tu conocimiento sobre la Plataforma Google Cloud. ¡Comienza ahora y gana la insignia de Trivia de Diciembre, Semana 1!

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Descubre cómo ejecutar inferencias con BigQuery ML, por qué deben utilizarlo los analistas de datos, sus casos de uso y los modelos de AA compatibles. También aprenderás a crear y administrar estos modelos de AA en BigQuery.

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In this Google DeepMind course, you will learn the fundamentals of language models and gain a high-level understanding of the machine learning development pipeline. You will consider the strengths and limitations of traditional n-gram models and advanced transformer models. Practical coding labs will enable you to develop insights into how machine learning models work and how they can be used to generate text and identify patterns in language. Through real-world case studies, you will build an understanding around how research engineers operate. Drawing on these insights you will identify problems that you wish to tackle in your own community and consider how to leverage the power of machine learning responsibly to address these problems within a global and local context.

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Las Certificaciones de Google Cloud ofrecen una forma tangible de demostrar tus habilidades a posibles empleadores o empleadores actuales. Estas certificaciones incluyen preguntas basadas en el rendimiento, evaluando tu experiencia práctica mediante tareas reales. Comienza tu camino hacia convertirte en un Profesional Certificado de Google con la ayuda de la Zona de Certificación Arcade.

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En este curso, descubrirás cómo Gemini, un colaborador potenciado por IA generativa de Google Cloud, ayuda a analizar los datos de los clientes y predecir las ventas de productos. También aprenderás a identificar, categorizar y desarrollar los clientes nuevos usando datos de clientes en BigQuery. A través de labs prácticos, comprobarás cómo Gemini mejora los flujos de trabajo de análisis de datos y aprendizaje automático. Recuerda que Duet AI ahora se llama Gemini, nuestro modelo de nueva generación.

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