Temukan pelatihan Google Cloud sesuai keinginan Anda.

Dengan lebih dari 980 aktivitas pembelajaran yang dapat dipilih, Google Cloud telah merancang katalog yang komprehensif dengan mempertimbangkan kebutuhan Anda. Katalog ini terdiri dari berbagai format aktivitas yang dapat Anda pilih. Anda dapat memilih dari lab individual berdurasi singkat atau kursus multi-modul yang terdiri dari video, dokumen, lab, dan kuis. Lab kami memberi Anda kredensial sementara ke resource cloud nyata agar Anda dapat mempelajari Google Cloud secara langsung di platform aslinya. Dapatkan badge untuk aktivitas yang berhasil Anda selesaikan, serta tentukan target, lacak progres, dan ukur keberhasilan Anda di Google Cloud.

  • lencana
  • Format
  • Bahasa
Clear all

111 hasil

  1. Lab Unggulan

    Speech-to-Text API: Qwik Start

    Speech-to-Text API mengintegrasikan pengenalan ucapan ke dalam aplikasi developer. Anda kini dapat mengirim audio dan menerima transkripsi teks. Tonton video pendek ini: Powerful Speech Recognition Using Google Machine Learning dan Google Cloud Speech: Qwik Start - Qwiklabs Preview

  2. Kursus Unggulan

    Attention Mechanism

    This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, t…

  3. Kursus Unggulan

    Encoder-Decoder Architecture

    This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn about the main components of the encoder-decoder architecture and h…

  4. Kursus Unggulan

    ML Pipelines on Google Cloud

    In this course, you will be learning from ML Engineers and Trainers who work with the state-of-the-art development of ML pipelines here at Google Cloud. The first few modules will cover about TensorFlow Extended (or TFX), which is Google’s production machine learning platform based on TensorFlow for management of…

  5. Lab Unggulan

    Distributed Image Processing in Cloud Dataproc

    In this lab, you will learn how to use Apache Spark on Cloud Dataproc to distribute a computationally intensive image processing task onto a cluster of machines.

  6. Lab Unggulan

    Membuat Mesin Virtual

    Dalam lab interaktif ini, Anda akan mempelajari cara membuat virtual machine Google Compute Engine dan memahami zona, region, dan jenis mesin. Untuk melihat pratinjaunya, tonton video singkat Create a Virtual Machine, GCP Essentials.

  7. Kursus Unggulan

    Gemini for Data Scientists and Analysts

    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 an…

  8. Lab Unggulan

    Exploring Cost-optimization for GKE Virtual Machines

    In this hands-on lab, you'll learn how to determine and select the the most cost effective machine type for a GKE application. You will also explore the pros and cons of a multi-zonal cluster.

  9. Kursus Unggulan

    Responsible AI: Applying AI Principles with Google Cloud

    As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible A…

  10. Kursus Unggulan

    Introduction to Generative AI

    This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.