Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

End to End MLOPS Data Science Project Implementation With Deployment

Krish Naik via YouTube

Overview

Implement an end-to-end MLOps data science project, from initial setup to deployment on AWS EC2 using GitHub Actions. Learn to create a GitHub repository, structure the project using templates, set up logging, perform data ingestion, validation, and transformation, train models, build prediction pipelines, and deploy the solution. Gain hands-on experience with MLflow for experiment tracking and model management throughout the development process.

Syllabus

Introduction to Project
Create a Repository In Github Account
Create Structure Using Template.py
Implementing Setup.py
Logging Implementation
Data Ingestion
Data Validation
Data Transformation
Model Trainer
Prediction Pipeline
Deployment In EC2 with app runner

Taught by

Krish Naik

Reviews

Start your review of End to End MLOPS Data Science Project Implementation With Deployment

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.