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.

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389 hasil
  1. Kursus Unggulan

    Google Cloud Computing Foundations: Cloud Computing Fundamentals

    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 w…

  2. Kursus Unggulan

    Serving Multimedia Content with Google Cloud

    This course shows learners the benefits of using Google Cloud to stream and broadcast content. The course provides a high-level overview of the infrastructure required for streaming and broadcasting.

  3. 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…

  4. Kursus Unggulan

    Transformer Models and BERT Model

    This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. You also learn about the di…

  5. 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.

  6. Kursus Unggulan

    Introduction to Large Language Models

    This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.

  7. Kursus Unggulan

    Preparing for Your Google Workspace Administrator Journey

    This course helps learners prepare to study for the Professional Google Workspace Administrator Certification exam. Learners will be exposed to and engage with exam topics through a series of readings, diagnostic questions, and knowledge checks. After completing this course, learners will have a personalized workb…

  8. Kursus Unggulan

    Introduction to Image Generation

    This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion m…

  9. Kursus Unggulan

    Create Image Captioning Models

    This course teaches you how to create an image captioning model by using deep learning. You learn about the different components of an image captioning model, such as the encoder and decoder, and how to train and evaluate your model. By the end of this course, you will be able to create your own image captioning m…

  10. 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…