Machine Learning Flask Deployment on Microsoft Azure 2021
What you'll learn
- Flask
- Deploying Flask WebApp on Azure
- Integrating Python ML Model into WebApp
Requirements
- Python Programming
- Basic Machine Learning (Scikit-Learn)
- Free or Paid Microsoft Azure Account
Description
In this course, you will be learning, how to deploy Machine Learning Models using Python Flask on Microsoft Azure from scratch. Initially, we will learn the entire Machine Learning pipeline using Jupyter Notebook including Exploratory Data Analysis. Then for intuition, we will train 6 Machine Learning (Classification) models, and save them. After some tests, we will generate a productional code for prediction for all 6 Machine Learning Models.
Now the golden lectures start. We will develop the Frontend of Web Application using HTML / CSS from scratch, giving an end-to-end idea of what's happening in the design structure. Then, we will develop the backend on Flask using Python and integrate it with our Frontend. After some tests of a fully functional Machine Learning Web App on the system, we will move ahead to our main goal, Deployment on Microsoft Azure. Where many students face problems and server issues. Don't worry with one simple trick you won't face any server issues on Azure.
So without wasting any further minutes, grab your course, and learn deployment from scratch in 2-3 days at an Easy pace.
And here's the bonus, in the event of unfortunate success in deployment, the instructor will always be available to help you around the issues.
Who this course is for:
- Python Developers looking for ML Models Deployment
- Web Developers looking for integrating ML Models into WebApp
- ML Enthusiasts curious about how to deploy models on WebApp
- Cloud Enthusiast looking for deploying ML Models or WebApps to Microsoft Azure
- Industrial Machine Learning Pipeline
Instructor
- 3.9 Instructor Rating
- 21 Reviews
- 69 Students
- 1 Course
Muhammad Huzaifa is currently an AI Engineering Consultant and Cloud Architect at more than six multinational companies. He has also been the Lead AI, Developer & Researcher, at Governmental & Medical Projects. With the utilization of AI, he contributed to the early detection of Covid Detection too.
He plays a critical role in online education, hosted more than 150+ workshops for 15K+ attendees in AI Development with Google DSC and Microsoft LSA. AI and Cloud is always been his major playground and he loves teaching the art and possibilities of AI. Huzaifa enjoys engaging with a virtual community of diverse students and learners to explore state-of-the-art technologies not easily accessible to all.