End to End Deep Learning Project Using MLOPS DVC Pipeline With Deployments Azure and AWS - Krish Naik
Offered By: Krish Naik via YouTube
Course Description
Overview
Syllabus
- Introduction
- Project Introduction
- Prerequisite
- Problem Statement Chicken Disease
- Project Demo
- Github Repository Setup
- Project Template Creation
- Requirements Installation & Project Setup
- Logging, Exception & Utils Modules
- Project Workflows
- Data Ingestion Notebook Experiment
- Data Ingestion Final Implementation
- Prepare Base Model Notebook Experiment
- Prepare Base Model Final Implementation
- Prepare Callbacks Notebook Experiment
- Prepare Callbacks Final Implementation
- Model Trainer Notebook Experiment
- Model Trainer Final Implementation
- Model Evaluation Notebook Experiment
- Model Evaluation Final Implementation
- Writing DVC file for tracking piplines
- Prediction Pipeline & User App
- Project CI/CD Deployment on AWS
- Project CI/CD Deployment on Azure
Taught by
Krish Naik
Related Courses
Open Source Tools for ML Experiments ManagementLinux Foundation via YouTube Automating Machine Learning Workflow with DVC
EuroPython Conference via YouTube Transforming a Jupyter Notebook into a Reproducible Pipeline for ML Experiments
PyCon US via YouTube End-to-End Deep Learning Project: Kidney Disease Classification with MLflow, DVC, and Deployment
Krish Naik via YouTube DVC: Data Versioning and ML Experiments on Top of Git
Toronto Machine Learning Series (TMLS) via YouTube