Share Description
This is a concise, beginner-friendly course, led by instructor Guil Hernandez, designed to teach you how to deploy AI applications in a secure, robust, and high-performance way. This course moves beyond simple deployment, focusing on leveraging the power of "edge computing" using the Cloudflare ecosystem. In just under an hour, you'll learn to stop exposing your secret API keys on the client side and instead build a secure, serverless backend using Cloudflare Workers. This worker will act as a protected middle-layer between your frontend application and third-party AI services like OpenAI. The course guides you through building and deploying a complete AI application that integrates multiple APIs, ensuring it is secure, scalable, and has low latency for users worldwide. You'll not only deploy the AI logic but also the frontend application itself, all within the integrated Cloudflare platform.
Topics the course covers
This course provides a complete, A-to-Z guide on deploying your AI projects professionally. Key topics include:
- Creating and configuring Cloudflare Workers to run serverless functions on the edge.
- Securely connecting your worker to the OpenAI API to handle AI requests, protecting your secret keys.
- Refining client-side data fetching to communicate with your new Cloudflare Worker instead of directly with the AI service.
- Properly handling CORS (Cross-Origin Resource Sharing) and preflight requests for seamless browser-server communication.
- Integrating a second API (like Polygon for stock data) into a separate worker to combine multiple data sources.
- Setting up and using Cloudflare AI Gateway to gain visibility, caching, and rate-limiting for your AI API calls.
- Implementing proper error handling within your serverless functions.
- Connecting your project to a GitHub repository for continuous deployment.
- Deploying a static frontend site using Cloudflare Pages.
- Configuring a custom domain for your live application.
Benefits of opting for this course
By completing this course, you will:
- Learn how to build secure AI apps by properly hiding your API keys and business logic on a serverless backend.
- Master the fundamentals of edge computing, a modern, high-performance deployment strategy.
- Gain the ability to deploy full-stack, AI-powered applications for free using the Cloudflare platform.
- Understand how to solve complex but critical issues like CORS errors.
- Learn how to monitor, control, and analyze your AI API usage with the Cloudflare AI Gateway.
- Build a professional, end-to-end project that is fast, scalable, and secure.
- Add a highly in-demand skill set (serverless functions and edge deployment) to your developer toolkit.
Why take this course section
This course is essential for any developer who has built a simple AI app and asked, "What's next? How do I make this real?" Running AI models on the client side is slow, expensive, and, most importantly, insecure, as it exposes your secret API keys to the world. This course directly solves that problem. It provides a detailed, practical guide to building a secure and robust infrastructure for your AI applications using Cloudflare's powerful and free services. You will learn the professional workflow for managing API requests, integrating multiple services, and deploying both your backend and frontend to the edge. This approach ensures your application is not only secure but also has high availability and low latency for all your users. If you're ready to move your AI projects from a local hobby to a production-grade, shareable, and secure application, this course is the perfect, practical guide to get you there.
