Vertex AI | Gemini | Generative AI – GCP Machine learning | Udemy

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 product

If 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 course

• 60+ Hands-on Demo
• 80% Practical + 20% Theory – Highly Practical course
• Highly relevant to exam topics
• Covers all major topics related to vertex AI Prebuilt Machine Learning API, Auto ML, vertex AI Pipeline, Custom training
• Minimum on Slides + Maximum on GCP cloud console

Have a look at course curriculum, to see depth of Course coverage.

Major Theme of course topics :

1. GCP & Machine Learning Basics

In 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 API

In 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 AutoML

Here 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 Training

In 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 Data

5. Vertex AI Pipeline

In 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 & updates
• Q&A Section
• A 30 Day Money Back Guarantee – “No Questions Asked”
• Udemy Certificate of Completion

So, What are you waiting for, Enroll NOW and I will see you inside course.

Regards

Ankit Mistry