Build an AI Aircraft Maintenance Application | End-to-End AWS GenAI Project | Part 1

Welcome to Part 1 of this exciting End-to-End AI Project Series! In this video, we'll explore a real-world AI-powered Aircraft Maintenance Assistant that helps engineers analyze maintenance records, identify potential risks, and generate intelligent maintenance recommendations using Amazon Bedrock. 📦 Resources & Links: GitHub Code & Notes: Please checkout next video description Related Videos: Challenges in RAG, Why it fails in production:    • Why Most RAG Applications Fail in Producti...   Next Gen RAG & Agentic RAG Playlist:    • Next-Gen RAG & Agentic RAG AI   Other AI Project Playlist: Next-Gen RAG & Agentic RAG AI Playlist:    • Next-Gen RAG & Agentic RAG AI   RAG vs Fine-tuning:    • RAG vs Fine-Tuning — Which One Should You ...   LLM with RAG vs LLM Without RAG:    • LLM vs RAG Explained Simply | Why LLMs Hal...   MAF End to end Project:    • Multi-Agentic AI End-to-End Project| Build...   Introduction to Microsoft Agent Framework:    • Introduction to Microsoft Agent Framework   LangGraph Tutorial:    • LangGraph End-to-End Series | From Basics ...   Project:    • Real-World AI Project:  Azure Document Int...   Agent Foundry Mastery:    • AI Agent in Just 5 Minutes with Azure 🤯   Autogen Playlist:    • Agentic AI with AutoGen – From Zero to Pro...   📦 Udemy Courses Agentic AI Developemnt with Azure & Semantic Kernel Course: https://www.udemy.com/course/agentic-... Azure AI Foundry:Prompt Flow, Finetuning GPT4-o, RAG, LLMOps : https://www.udemy.com/course/develop-... In this complete crash course, I walk you through the Agent-to-Agent (A2A) Protocol from fundamentals to implementation — all in a single, in-depth video. This session focuses on understanding the business problem, application demo, project architecture, and the technologies we'll use throughout the series. By the end of this series, you'll learn how to build, containerize, deploy, and automate a production-style AI application using modern cloud-native technologies. 📌 What You'll Learn ✅ Business Problem & Project Overview ✅ Application Demo ✅ AI Aircraft Maintenance Assistant Architecture ✅ Amazon Bedrock Integration ✅ React Frontend ✅ FastAPI Backend ✅ Docker Containerization ✅ Amazon Elastic Container Registry (ECR) ✅ Amazon Elastic Kubernetes Service (EKS) ✅ GitHub Actions CI/CD Pipeline 🛠 Tech Stack Amazon Bedrock React FastAPI Python Docker Kubernetes Amazon EKS Amazon ECR GitHub Actions AWS IAM AWS CLI 📺 Upcoming Videos ✔ Build the React Frontend ✔ Develop the FastAPI Backend ✔ Integrate Amazon Bedrock ✔ Dockerize the Application ✔ Push Images to Amazon ECR ✔ Deploy on Amazon EKS ✔ Configure Load Balancer ✔ Implement GitHub Actions CI/CD ✔ Production Deployment Best Practices 💡 Whether you're a Data Scientist, AI Engineer, Cloud Engineer, or Software Developer, this series will give you hands-on experience building and deploying a real-world Generative AI application on AWS. 👍 If you enjoy the content, don't forget to Like, Share, and Subscribe for the upcoming parts of this series! #generativeai #amazonbedrock #aws #react #fastapi #docker #kubernetes #AmazonEKS #githubactions #ci_cd #python #aiprojects #machinelearning #cloudcomputing #llm #genai #AaiTech