I tried to code a TRAFFIC SIGN ML MODEL in 15 minutes

Machine Learning API development course, in this course is a comprehensive course that guides you through the process of creating, deploying, and managing APIs for machine learning models. In this course, you’ll learn how to design RESTful APIs using frameworks like Flask or FastAPI, integrate machine learning models into APIs, and enable seamless interaction between applications and ML systems. You’ll explore concepts like model serialization, deployment on cloud platforms, handling API requests, and ensuring security and scalability. This hands-on course is perfect for developers and data scientists who want to deploy machine learning solutions effectively and integrate them into real-world applications. By the end, you'll have the skills to build robust APIs that bridge the gap between machine learning models and production-ready systems.