Deploying Machine Learning Models with Flask for Beginners

In this 2-hour course, you'll learn to deploy your own machine learning models using Flask, a popular Python web framework. You'll go step-by-step from understanding Flask basics to creating a working application with dynamic prediction APIs and deploying it online.

What I will be able to do after this course

• Create a working API endpoint for your trained machine learning models
• Understand the essentials of Flask to build scalable web applications
• Deploy Flask-based applications to make models accessible on the web
• Train and validate machine learning models for use in web applications
• Handle errors and debug deployed applications effectively

Course Instructor(s)

Dan We is a software engineer and educator specializing in machine learning and web application development. With years of experience deploying machine learning solutions using Flask, Dan integrates real-world insights into his teaching. His approach combines detailed explanations with hands-on coding, making technical concepts accessible and actionable for learners.

Who is it for?

This course is ideal for developers looking to familiarize themselves with Flask for deploying machine learning models. Beginners in Flask with intermediate Python skills will benefit greatly. Learners should be comfortable with fundamental machine learning concepts to fully grasp the training and deployment processes. The course is suited for individuals aiming to make their machine learning models production-ready.