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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-with-google-cloud/
课程评论：没有评论
课程名称：Vertex AI Gemini 生成性人工智能 - GCP 机器学习 概述：谷歌云平台（GCP）是增长最快的公共云服务之一。本课程专注于谷歌云上的机器学习，提供超过10小时的高清视频内容，以及60多项动手实验，实用性极强。您将学习从机器学习的角度了解不同的GCP服务，并在谷歌云基础设施中部署机器学习应用程序，深入了解GCP的Vertex AI产品。如果您想掌握机器学习与谷歌云的结合，您来对地方了。本课程包含80%的实操与20%的理论，确保您获得最具实践性的学习体验，内容与认证考试高度相关。 主要课程主题包括： 1. **GCP与机器学习基础**：创建账户、了解区域与可用区、机器学习基础知识及不同ML系统的介绍，选择合适的谷歌云ML服务，并学习一些辅助的GCP服务，如计算引擎和身份访问管理等。 2. **谷歌机器学习API**：学习如何使用预构建的机器学习API处理各种通用用例，如对象检测、情感分析、OCR、人脸检测等。 3. **GCP AutoML**：使用AutoML算法构建自定义机器学习模型，涵盖对象分类、内容分类和表格数据处理。 4. **Vertex AI自定义训练**：通过自定义数据与自定义机器学习算法进行训练，使用预构建和自定义容器，随后将模型导入模型注册表并部署到端点进行在线预测。 5. **Vertex AI管道**：学习如何设置完整的机器学习步骤，包括数据集创建、训练、端点创建和模型部署，一应俱全。 课程还包括： - 终生访问所有课程材料及更新 - 问答环节 - 30天无条件退款保证 - 完成证书 还在等什么？立即报名，期待在课程中见到您！
Google Cloud Platform GCP is Fastest growing Public cloud. This is Machine Learning with Google Cloud Course.Welcome to my course on ML on GCP Platform, Which is one of most updated best course on internet.This course has 10+ Hours of insanely great video content in HD Quality with 60+ on hands-on Lab (Most Practical Course)Do you want to learn about the different GCP services from Machine Learning perspective.You want to deploy ML application in Google Cloud infrastructure.Do you want to learn about GCP vertex AI productIf yes, You are at right place.Cloud is the future and GCP is Fastest growing Public cloud.So, I created most practical comprehensive course will prepare you for Machine Learning with Google Cloud certification.I believe in learning by doing and it's very much practical course60+ Hands-on Demo80% Practical + 20% Theory - Highly Practical courseHighly relevant to exam topicsCovers all major topics related to vertex AI Prebuilt Machine Learning API, Auto ML, vertex AI Pipeline, Custom trainingMinimum on Slides + Maximum on GCP cloud consoleHave a look at course curriculum, to see depth of Course coverage.Major Theme of course topics:1. GCP & Machine Learning BasicsIn this module I will teach you creating account, regions, zones, get started with Machine learning basics, types of ML system & which Google Cloud ML service to use when. I will touch upon some helper GCP services for Machine Learning like Compute Engine, IAM - identity & access management, Google Cloud Storage.2. Google Machine Learning APIIn this module I will teach How to use Prebuilt Machine learning API for various generic use case like object detection, sentiment analysis, label detection, OCR, face detection, entity analysis & detection, content classification, speech to text & text to speech conversion, vision API, Language API, Speech API.3. GCP AutoMLHere we will learn how to build your own Machine Learning model with your custom data using Auto ML - Auto Machine Learning algorithm for object classification - Auto ML Vision, Content classification- Auto ML Language, Tabular Data 4. Vertex AI Custom TrainingIn this module we will do custom training with our custom data & custom ML algorithm with Custom Container way and Prebuilt Container way using sklearn & TensorFlow Library, after model being created imported to model registry & deploy to endpoint for online prediction.Without Deployment we will setup Batch Job for Prediction - Image & Tabular Data5. Vertex AI PipelineIn this module we will learn how to setup complete Machine Learning step like dataset creation, Training, Endpoint Creation, Model Deployment all in one go with Vertex AI Pipeline. This course also comes with:Lifetime access to all course material & updatesQ & A SectionA 30 Day Money Back Guarantee - "No Questions Asked"Udemy Certificate of CompletionSo, What are you waiting for, Enroll NOW and I will see you inside course.RegardsAnkit Mistry
