Description 

The ability to rapidly prototype, build, and deploy intelligent applications in today’s AI-driven development landscape is more critical than ever.  

This hands-on workshop is tailored for developers who want to elevate their backend skills and harness the power of GenAI in real-world applications. 

By the end of this workshop, you’ll have built a cloud-deployed application that integrates OpenAI’s image analysis capabilities with a secure API backend using FastAPI, SQLAlchemy, JWT, Docker, and modern CI/CD deployment workflows — all in one streamlined development cycle. 

Main Topics 

• Kickoff & Overview 

• Objectives of the workshop 

• Introduction to tools and stacks 

• Architectural overview of what we’ll build 

• Setting Up a Cloud-Based Dev Environment (Replit) 

• Starting a project in Replit 

• Installing dependencies 

• File structure & code organization 

• Creating a FastAPI Backend 

• Bootstrapping a FastAPI project 

• Writing your first API endpoint 

• Verifying API responses 

• OpenAI Integration: Image Analysis 

• Understanding the OpenAI image API 

• Sending image data to the model 

• Handling and displaying model output 

• Database Integration with SQLAlchemy 

• Defining data models 

• Running migrations using Alembic 

• Creating a basic user table 

• Authentication & Authorization 

• Implementing user signup and login 

• Managing access with JWT tokens 

• Securing API endpoints 

• Building a Frontend UI 

• Simple UI to upload and preview images 

• Displaying results dynamically 

• Dockerizing the Application 

• Writing a production-ready Dockerfile 

• Building and running containers 

• Cloud Deployment via RunMyDocker 

• Connecting GitHub for CI/CD 

• Deploying to the cloud 

• Accessing your live application 

• Wrap-Up, Q&A, and Next Steps 

• Review key takeaways 

• Advanced use cases and extensions 

• Open discussion and personalized guidance 

Target Audience  

• Developers 

• Backend developers  

• Full-stack developers and engineers