[ FreeCourseWeb.com ] Deploy Machine Learning Models on GCP + AWS Lambda (Docker)



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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + .srt | Duration: 53 lectures (4h 17m) | Size: 1.67 GB

How to Serialize - Deserialize model with scikit-learn & Deployment on Heroku, AWS Lambda, ECS, Docker and Google Cloud

What you'll 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)



Requirements

Basics of Python Programming

Basic knowledge of Web development



Description

Hello everyone, welcome to one of the most practical course on Machine learning and Deep learning model deployment production level.



What is model deployment :



Use Winrar to Extract. And use a shorter path when extracting, such as C: drive



ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)



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