Generative AI

AI Development with MERN and Python

This course combines the power of the MERN stack (MongoDB, Express.js, React, Node.js) with Python to teach students how to develop and deploy AI applications. Participants will learn to create full-stack applications that leverage AI algorithms and models. Key topics include: Introduction to MERN Stack: Understand the components of the MERN stack and how they work together to build dynamic web applications. Python for AI: Explore Python libraries such as TensorFlow and scikit-learn to build and train machine learning models. Integrating AI with MERN: Learn to connect Python-based AI models with a MERN application, enabling real-time data processing and AI-driven features. Data Management: Use MongoDB to store and manage data effectively for AI applications. API Development: Create RESTful APIs with Express.js to facilitate communication between the front-end and back-end. Deployment: Understand deployment strategies for full-stack applications, including cloud services and containerization. By the end of the course, students will have hands-on experience building a complete AI-powered web application, equipping them with the skills to tackle real-world challenges. Prerequisites: Basic knowledge of JavaScript, Python, and web development concepts.