2025 Deploy ML Model in Production with FastAPI and Docker

🚀 Course Title: Deploy ML Model with BERT, DistilBERT, FastText NLP Models in Production with Flask, uWSGI, and NGINX at AWS EC2

🎓 Course Headline: Master Production-Ready ML & NLP Deployment with BERT & Friends 🚀

Course Introduction

Dive into the world of machine learning model deployments with our comprehensive course, "Deploy ML Model with BERT, DistilBERT, FastText NLP Models in Production with Flask, uWSGI, and NGINX at AWS EC2." This course is your gateway to understanding how to effectively deploy state-of-the-art natural language processing (NLP) models into a production environment using the latest technologies. 🤖

Course Highlights:

• Real-World Application: Learn to apply NLP models like BERT, DistilBERT, and FastText in real-time applications using Flask for backend services, uWSGI as a versatile WSGI server, and NGINX for efficient web server handling. 🌐

• Cloud Integration: Gain the skills to deploy your application on AWS EC2, ensuring scalability and high availability for your production ML model. ☁️

• Hands-On Experience: Through a series of hands-on exercises, you'll set up and configure an end-to-end machine learning production pipeline from scratch. 🛠️

• Performance Optimization: Learn techniques to optimize your NLP models for performance in production settings and effectively manage scaling and performance issues. 🚀

Who is this course for?

This course is designed for:

• Data Scientists looking to deploy their ML models with confidence. 📊

• Machine Learning Engineers seeking hands-on experience in production pipelines. 🤖

• Developers aiming to explore the integration of NLP models with modern technologies like TensorFlow and ktrain. 💻

• Professionals facing challenges in scaling and performance management of ML models in production. 📈

• Aspiring Machine Learning Enthusiasts interested in understanding the entire pipeline from model training to deployment. 🌟

• Career Minded Individuals who wish to specialize in deploying machine learning models in a production environment. 👩‍💻👨‍💻

What will you learn?

• Web Server Mastery: Learn how to leverage NGINX as your web server for serving ML models efficiently. 🏰

• WSGI Bridge Expertise: Use uwsgi as the middleware to connect your Flask application with NGINX effortlessly. 🌉

• NLP with FastText & TensorFlow: Discover how to implement fasttext for NLP tasks and combine its capabilities with TensorFlow models. 📖

• ktrain Integration: Explore ktrain's features for a streamlined approach to training, deploying, and managing ML models in production. 🚂

• End-to-End Pipeline Setup: Understand the entire process of setting up and configuring your machine learning production pipeline from start to finish. 🔗

• Performance & Scaling Strategies: Master strategies to handle scaling, performance, and optimization issues in real-time. 📊

All this will be taught using Google Colab notebooks, which means you can follow along with the course using any computer or laptop, regardless of your hardware, because you'll have access to free GPU resources! 🧑‍💻✨

Enroll now and transform the way you deploy machine learning models in production! 🌟

Enroll Today & Deploy Your NLP Models Like a Pro! 🚀🎉