2025 Deploy ML Model in Production with FastAPI and Docker
2025 Deploy ML Model in Production with FastAPI and Docker, the ML model deployment training course in production with FastAPI and Docker has been published by Yudemy Academy. Discover the power of seamless ML model deployment with our comprehensive course, Deploying Production-Grade ML Models with FastAPI, AWS, Docker, and NGINX. This course is designed for data scientists, machine learning engineers, and cloud professionals who are ready to take their models from development to production. You’ll gain the skills needed to deploy, scale, and manage your machine learning models in real-world environments and ensure they’re robust, scalable, and secure. In today’s fast-paced technology landscape, the ability to deploy machine learning models in manufacturing is a highly sought-after skill. This course combines the latest technologies – FastAPI, AWS, Docker, NGINX and Streamlit – into a powerful learning journey. Whether you’re looking to advance your career or upgrade your skill set, this course provides everything you need to confidently deploy, scale, and manage production-grade ML models. By the end of this course, you will have the expertise to deploy machine learning models that are not only effective, but also scalable, secure, and production-ready in real-world environments. Join us and take the next step in your machine learning journey.

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What You'll Master in this Course
Course Curriculum146 Lectures
16 sections • 49 hours total length
Requirements
- Introductory knowledge of NLP
- Comfortable in Python, Keras, and TensorFlow 2
- Basic Elementary Mathematics
Description
Instructor
Udemy
Specialist in Web & Full-Stack Development
Passionate educator focused on real-world practical skills, modern frameworks, and production-ready engineering practices. Delivering step-by-step masterclasses accessible to learners globally on MJ Accedemy.

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