Deploying Machine Learning Models - A Complete Course

4.3 ★★★★ ★

Deploying Machine Learning Models - A Complete Course

Name: Deploying Machine Learning Models - A Complete Guide
Rating: 4.3 (222 reviews)
Author: Akshay Deep Lamba

Master Machine Learning Model Deployment with Python

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Akshay Deep Lamba

category icon Development,Data Science and AI ML,Artificial Intelligence

Lectures -109

Resources -1

Duration -7.5 hours

4.3 ★★★★ ★

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Course Description

This comprehensive course will teach you everything you need to know to deploy machine learning models in production, including Flask, Streamlit, AWS Lambda, and SageMaker. This includes using both server and serverless frameworks in Python.

Deploying Machine Learning Models - A Complete Guide Overview

This course will help you learn how to use models that are scalable, reliable, and secure. You will also learn how to choose the right deployment framework for your needs and how to securely and reliably configure and deploy your models.

Learn to use Docker to containerize your machine-learning models and configure and deploy machine-learning models. The curriculum of this course covers a wide range of topics, including:

Model deployment fundamentals
Server-based model deployment with Flask
Serverless model deployment with AWS Lambda
Model deployment on AWS SageMaker
Containerization with Docker

Goals

What will you learn in this course:

Learn the Basics of Flask
Learn to Deploy a Machine Learning Model using Flask.
Learn the Basics of Steamlit.
Learn to Deploy a Machine Learning Model using Streamlit.
Learn Serverless and AWS Lambda.
Learn to Deploy Machine Learning Model using Serverless and Lambda.
Learn the Basics of Docker.
Learn to Deploy Machine Learning Model using Docker Container.
Learn To Deploy model on AWS Sagemaker.
Learn about Model Training and End Point Hosting on Sagemaker.

Prerequisites

What are the prerequisites for this course?

This course is designed for intermediate Python developers with basic knowledge of machine learning.

Deploying Machine Learning Models - A Complete Course

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction
2 Lectures

Introduction 03:28 03:28
Course Files

Flask Basics
4 Lectures

PROJECT : Deploying Breast Cancer Machine Learning Model using Flask
10 Lectures

Containerizing the Breast Cancer Model using Docker
4 Lectures

Streamlit Basics
7 Lectures

PROJECT : Deploying Heart Disease Machine Learning Model using Streamlit
11 Lectures

Containerizing the Heart Disease ML Model using Docker
4 Lectures

Serverless and AWS Basics
4 Lectures

AWS Lambda Basics
4 Lectures

PROJECT : Deploying Diabetes Prediction Machine Learning Model using AWS Lambda
14 Lectures

General Overview of SageMaker
9 Lectures

Implementing XgBoost using Sagemaker - Breast Cancer Classification
12 Lectures

Hosting Custom Model on Sagemaker - Credit Fraud Detection
9 Lectures

PROJECT : Deploying Diabetes Prediction Model using Sagemaker
13 Lectures

Conclusion
1 Lectures

Instructor Details

Akshay Deep Lamba

Course Certificate

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