Скачать или смотреть Deploying a Generative AI App on Azure | Step-by-Step Guide

About Us:
Master AI and Generative AI with AI ML etc's most up-to-date and relevant AI + LLM courses for senior IT professionals
Learn faster, easier: We've reimagined AI education and built these courses ground up.

➡️ Visit https://www.aimletc.com/

If you want to learn AI+LLM through instructor-led coaching then check out the details here - https://www.aimletc.com/ai-ml-etc-cou...


In this video, I'll walk you through deploying a generative AI application on Microsoft Azure without using Docker containers. This tutorial is tailored for senior IT professionals and AI enthusiasts looking to explore seamless Continuous Integration and Continuous Deployment (CI/CD) workflows.

What You'll Learn:
✅ How to deploy a Streamlit-based AI application on Azure App Service.
✅ Setting up runtime environments (Python 3.10) and configurations.
✅ Integrating GitHub for CI/CD to automate app deployment.
✅ Adjusting Azure pricing plans for deployment.
✅ Making real-time updates to your app with CI/CD workflows.



Key Deployment Steps Covered:

Creating an Azure Web App and choosing the right runtime stack.
Linking GitHub repositories for continuous deployment.
Configuring startup commands for Streamlit apps.
Monitoring deployments via GitHub Actions.
Managing Azure resources and deleting deployed apps to avoid unnecessary costs.
💡 This is an easy and practical guide to deploying AI applications on Azure with minimal hassle. Whether you're working on a demo project or a production-grade app, this video will equip you with the necessary tools and knowledge.

🎥 Subscribe for more tutorials on AI, large language models, and cloud deployments. Let's make AI deployment simpler and smarter together!

👍 Like, 💬 Comment, and 🔔 Subscribe for more content!
#Azure #GenerativeAI #AIApplications #Streamlit #CI/CD #techtutorials

00:00 Introduction
00:16 Overview of the Generative AI Application
01:00 Demonstrating the Food Calorie App
01:47 Preparing for Deployment on Azure
02:06 Choosing the Azure App Service
02:42 Setting Up a Web App on Azure
03:19 Configuring Runtime and Region Settings
03:52 Selecting the Pricing Plan
04:42 Linking GitHub for Continuous Deployment
05:07 Reviewing and Deploying the App
06:15 Configuring Startup Commands
07:04 Monitoring Deployment Progress
08:31 Verifying the Deployed App
08:49 Continuous Integration and Updates
10:40 Wrapping Up: Deleting Resources
11:58 Conclusion and Call to Subscribe