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
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 8+ 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 :
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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.
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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.
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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 - AutoML Vision, Content classification- Auto ML Language, Tabular Data
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4. Vertex AI CustomTraining
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
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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.
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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
