[DEPRECATED] Data Engineering
Earned Mar 13, 2022 EDT
Machine Learning APIs
Earned Mar 10, 2022 EST
DEPRECATED Language, Speech, Text, & Translation with Google Cloud APIs
Earned Mar 10, 2022 EST
雲端架構：設計、實作與管理
Earned Mar 10, 2022 EST
Intro to ML: Image Processing
Earned Mar 8, 2022 EST
機器學習簡介：語言處理
Earned Mar 3, 2022 EST
在 Compute Engine 導入 Cloud Load Balancing
Earned Feb 15, 2022 EST
這個入門微學習課程主要說明生成式 AI 的定義和使用方式，以及此 AI 與傳統機器學習方法的差異。本課程也會介紹各項 Google 工具，協助您開發自己的生成式 AI 應用程式。
了解详情
完成「在 Google Cloud 使用機器學習 API」課程，即可獲得進階技能徽章。本課程說明以下機器學習和 AI 技術的基本功能： Cloud Vision API、Cloud Translation API 和 Cloud Natural Language API。
了解详情
This advanced-level quest is unique amongst the other catalog offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Data Engineer Certification. From Big Query, to Dataprep, to Cloud Composer, this quest is composed of specific labs that will put your Google Cloud data engineering knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, you will need other preparation, too. The exam is quite challenging and external studying, experience, and/or background in cloud data engineering is recommended. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of the Engineer Data in the Google Cloud to receive an exclusive Google Cloud digital badge.
了解详情
It's no secret that machine learning is one of the fastest growing fields in tech, and Google Cloud has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job. In this advanced-level course, you will get hands-on practice with machine learning APIs by taking labs like Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API. Looking for a hands-on challenge lab to demonstrate your skills and validate your knowledge? Enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
了解详情
In this quest you will use a collection of Google APIs that are all related to language, and speech. You will use the Speech-to-Text API to transcribe an audio file into a text file, the Cloud Translation API to translate from one language to another, the Cloud Translation API to detect what language is being used and translate to a different language, the Natural Language API to classify text and analyze sentiment, and create synthetic speech.
Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of other APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to image processing by taking labs that will enable you to label images, detect faces and landmarks, as well as extract, analyze, and translate text from within images.
了解详情
大家都知道，機器學習是發展最快的科技領域之一， 而 Google Cloud Platform 在這方面功不可沒。 GCP 提供多種 API，凡是與機器學習相關的任務，幾乎都能處理。您將在本入門課程的 實驗室，實際演練機器學習技術 在語言處理方面的應用，學會如何從文中擷取實體資訊、 執行情緒和語法分析，並使用 Speech-to-Text API 轉錄語音。
生成式 AI 簡介
Earned Aug 28, 2023 EDT
在 Google Cloud 使用機器學習 API
Earned Mar 14, 2022 EDT
[DEPRECATED] Data Engineering
Earned Mar 13, 2022 EDT
Machine Learning APIs
Earned Mar 10, 2022 EST
DEPRECATED Language, Speech, Text, & Translation with Google Cloud APIs
Earned Mar 10, 2022 EST
雲端架構：設計、實作與管理
Earned Mar 10, 2022 EST
Intro to ML: Image Processing
Earned Mar 8, 2022 EST
機器學習簡介：語言處理
Earned Mar 3, 2022 EST
在 Compute Engine 導入 Cloud Load Balancing
Earned Feb 15, 2022 EST