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Integrate LLMs seamlessly into modern web applications from frontend to backend.
Created by Alex Rivera · Staff Engineer, LLM Systems
30-day money-back guarantee
This course includes
The future of web development is intertwined with Artificial Intelligence. Building full-stack applications that leverage Large Language Models requires understanding how to bridge the gap between user interfaces, backend logic, and powerful AI services. This course guides you through the entire process of creating sophisticated AI-powered web applications. You'll learn to design intuitive frontends that interact with AI features, build robust backends that orchestrate LLM calls, and integrate various AI capabilities like text generation, analysis, and retrieval. We focus on practical, real-world implementation using popular frameworks. We'll explore architectural patterns for AI applications, including how to manage API keys securely, handle asynchronous AI processing, implement prompt engineering within your application logic, and store/retrieve AI-generated content efficiently. You'll gain hands-on experience with tools and libraries that facilitate this integration, making complex AI features accessible to your users. By the end of this intermediate course, you'll be equipped to develop end-to-end AI-driven web applications, confidently integrating LLMs into both the user-facing components and the underlying server infrastructure. Prepare to build the next generation of intelligent web experiences.
5 modules · 15 lessons · 4h 38m
Alex Rivera
Staff Engineer, LLM Systems
Alex builds and operates retrieval and agent systems in production. He writes about evaluation, latency and the unglamorous parts of shipping LLM applications.
30-day money-back guarantee
This course includes