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AI-Powered Web Application with LLM Fine-Tuning, CI/CD Automation and Vibe-Coding

Built an end-to-end Generative AI application by fine-tuning an LLM using Azure AI Foundry and integrating it into a React-based web interface. Implemented automated CI/CD deployment using AWS CodePipeline and hosted the application on S3 for scalable cloud delivery. Focused on production-ready AI workflows combining GenAI, cloud, and DevOps practices.

5 lectures

What You Will Learn

Learn how to build an end-to-end Generative AI application by fine-tuning an LLM using Azure AI Foundry and integrating it into a React-based frontend.
Understand cloud deployment and DevOps practices by implementing CI/CD pipelines using AWS CodePipeline and deploying applications on S3.

System Architecture

AI-Powered Web Application with LLM Fine-Tuning, CI/CD Automation and Vibe-Coding Architecture Diagram

High-level architecture overview of the AI-Powered Web Application with LLM Fine-Tuning, CI/CD Automation and Vibe-Coding .

What You'll Build

  • Build a full-stack Generative AI web application with a React frontend integrated with a fine-tuned LLM using Azure AI Foundry.
  • Build an automated cloud deployment pipeline using AWS CodePipeline to deploy and host the application on Amazon S3.
AI-Powered Web Application with LLM Fine-Tuning, CI/CD Automation and Vibe-Coding
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