Deploy Machine Learning Models on GCP + AWS Lambda (Docker)

How to Serialize - Deserialize model with scikit-learn & Deployment on Heroku, AWS Lambda, ECS, Docker and Google Cloud
4.57 (421 reviews)
Udemy
platform
English
language
Data Science
category
Ankit Mistry : 150,000+
instructor
Deploy Machine Learning Models on GCP + AWS Lambda (Docker)
3 952
students
4.5 hours
content
Mar 2025
last update
$13.99
regular price

What you will learn

Model Deployment Process

Different option available for Model Deployment

Deploy Scikit-learn, Tensorflow 2.0 Model with Flask Web Framework

Deploy Model on Google cloud function, App engine

Serve model through Google AI Platform

Run Prediction API on Heroku Cloud

Serialize and Deserialize model through Scikit-learn and Tensorflow

Deploying model on Amazon AWS Lambda

Install Flower prediction model with Docker

Deploy Docker Container on Amazon Container Services (ECS)

Course Gallery

Deploy Machine Learning Models on GCP + AWS Lambda (Docker) – Screenshot 1
Screenshot 1 – Deploy Machine Learning Models on GCP + AWS Lambda (Docker)
Deploy Machine Learning Models on GCP + AWS Lambda (Docker) – Screenshot 2
Screenshot 2 – Deploy Machine Learning Models on GCP + AWS Lambda (Docker)
Deploy Machine Learning Models on GCP + AWS Lambda (Docker) – Screenshot 3
Screenshot 3 – Deploy Machine Learning Models on GCP + AWS Lambda (Docker)
Deploy Machine Learning Models on GCP + AWS Lambda (Docker) – Screenshot 4
Screenshot 4 – Deploy Machine Learning Models on GCP + AWS Lambda (Docker)

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2796454
udemy ID
04/02/2020
course created date
21/03/2020
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