MLOps Project for a Mask R-CNN on GCP using uWSGI Flask

Description

• Type

  Course

• Methodology

  Online

• Duration

  1 Year

Description

With this Project Pro course, promoted through Emagister, you will be able to learn more about MLOps on GCP - Solved end-to-end MLOps Project to deploy a Mask RCNN Model for Image Segmentation as a Web Application using uWSGI Flask, Docker, and TensorFlow.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now closed

About this course

Who is it intended for?

Software developers who want to learn & get a practical experience in Machine Learning & Big Data

Requirements

Laptop / Desktop + Internet

What marks this course apart?

This project solves a real business problem end-to-end and comes with solution code, explanation videos, cloud lab and tech support.

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Subjects

• Technology
• Software Engineering
• Software Engineering Tools
• Business Process
• Management

Course programme

• MLOps Architecture
• Google Cloud Platform(GCP) based MLops architecture
• Understanding various model files required for MLops
• Understanding various components of GCP
• How to create a cloud source repository in CGP and its structure
• How to clone the git repository with the source repository
• How to commit changes in the source repository
• How to create a trigger fire repository
• Flask deployment
• Basics of uWSGI
• How to create a uWSGI configuration file
• Building Docker image
• Cloud build
• How to use cloud shell editor
• Kubernetes architecture
• Understanding files required for Kubernetes
• Pub/Sub and creating a topic in it
• Cloud function
• How to trigger cloud function
• Model deployment using Kubernetes

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