Model Deployment with Heroku and Flask
Learn how to deploy machine learning models using Heroku and Flask with this free online course. Get step-by-step guidance on setting up and deploying a machine learning model using these powerful tools
What you learn in Model Deployment with Heroku and Flask ?
About this Course
Model Deployment with Heroku and Flask is a free online course that teaches how to deploy machine-learning models using Heroku and Flask. Heroku is a cloud-based platform that allows developers to deploy, manage, and scale web applications, while Flask is a popular Python web framework that allows developers to build web applications quickly and easily.
In this course, you will learn how to set up and deploy a machine-learning model using these powerful tools. The course will cover topics such as creating a Flask application, integrating a machine learning model, configuring a Heroku account, and deploying the application to the cloud.
The course provides step-by-step guidance and practical examples, making it suitable for beginners and intermediate-level developers. By the end of the course, you will have the skills and knowledge to deploy your own machine-learning models using Heroku and Flask.
Course Outline
In this chapter, you will learn what Model Deployment is, some common examples of it, and key features of Model Deployment Architecture like Modularity, Reproducibility, Scalability, Extensibility & Testing.
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1.0 Hours
of self-paced video lectures
