Vertex AI | Gemini | Generative AI – GCP Machine learning
Udemy Coupon Code for Vertex AI | Gemini | Generative AI – GCP Machine learning Course. Learn How to Apply Google Cloud Vertex AI Machine Learning Products for your own ML Application Training & Prediction
Created by Ankit Mistry, GCP Certification – Google Cloud Academy | Associate Cloud & Professional Engineer Certifications | 10.5 hours on-demand video course
Google Cloud Vertex AI Course Overview
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. 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.
Have a look at course curriculum, to see depth of Course coverage.
Major Theme of course topics :
- 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.
- 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. - 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
- 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
- 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.
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
Recommended Google Cloud Courses
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GCP for Beginners – Become a Google Cloud Digital Leader Best seller
Vertex AI Course Reviews
Everything You Need to Know About Vertex AI | Gemini | Generative AI – GCP Machine learning
This course offers a comprehensive and well-structured introduction to Google Cloud Vertex AI. Ankit Mistri, the instructor, brings a wealth of expertise in IT & Software, making this course both informative and engaging.
The course structure is easy to follow. Each section, for example, covers a different aspect of Google Cloud Vertex AI Course, ensuring a logical progression through the material. It includes video lectures, readings, and hands-on exercises, which make complex concepts accessible and practical.
Moreover, the instructor explains each topic clearly and concisely. He supports the lessons with plenty of examples and exercises, which help students grasp the material effectively.
What I appreciated most about this course is its practical focus. For instance, the instructor emphasizes teaching skills and knowledge that are directly applicable to real-world scenarios. Additionally, students gain access to helpful resources such as templates, checklists, and cheat sheets.
Another standout feature is the platform itself. Udemy offers flexibility, allowing students to learn at their own pace and access course materials from anywhere with an internet connection. Furthermore, the multiple payment options make it easy for students to choose a plan that suits their budget.
In addition, the course community is highly active, with forums where students can ask questions and engage with peers. The instructor, consequently, is very responsive and addresses student inquiries and feedback promptly.
Overall, I highly recommend the Vertex AI | Gemini | Generative AI – GCP Machine learning to anyone looking to learn Google Cloud Vertex AI. This well-organized and practical course equips you with the skills and knowledge you need to succeed in this field.
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