Udemy – Vertex AI | Gemini | Generative AI – GCP Machine learning 2025-2

Udemy – Vertex AI | Gemini | Generative AI – GCP Machine learning 2025-2 Downloadly IRSpace

Apr 18, 2025 - 19:09 Updated: Aug 17, 2025 - 18:51

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Udemy – Vertex AI | Gemini | Generative AI – GCP Machine learning 2025-2

Vertex AI | Gemini | Generative AI – GCP Machine learning, 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. 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 course 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. 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

What you’ll learn

How to use Google Cloud Prebuilt Model for Generic ML uses case – vision, language, speech
How to access Vision API, Language API & Speech – Text API
Learn How to Throw your data for Training on Auto ML – Machine Learning Algorithm
Use Google Cloud Infrastructure for Scalability on your Machine learning Training& Prediction
Auto ML Vision for single object classification from image data using AutoML Algorithm
Auto ML Language for Content classification from Text data using AutoML Language
Vertex AI workbench – Notebook environment for ML development Purpose
Learn How to Deploy Training with Custom Container & Prebuilt Container way
How to submit Text & image data for Batch Job Prediction
How to create Complete Vertex AI Pipeline for Machine Learning Job
Deploy your Sklearn/Tensorflow Model to Endpoint for Prediction
Learn which ML product to use in which scenario