What you'll learn:
- Build and deploy a Generative AI web application
- Confidently use Docker for Python applications
- Deploy applications on Vercel, Google Cloud, and Azure
- Understand real-world cloud deployment workflows
- Add a multi-cloud GenAI project to your portfolio
- Speak confidently about deployment in interviews
Build. Containerize. Deploy. Scale.
In today’s job market, it’s not enough to just build applications — you must know how to deploy them in the real world.
In this course, you will learn how to build a complete Generative AI web application using Python, package it using Docker, and deploy it across multiple cloud platforms including Vercel, Google Cloud Run, and Microsoft Azure.
This is not a theory-heavy course.
You will build a real AI-powered Flashcard Generator application step by step — exactly the kind of project companies expect developers, AI engineers, and DevOps professionals to know how to deploy.
Why This Course?
Most courses teach:
Only AI concepts
Or only Docker basics
Or only one cloud platform
This course connects everything together.
You will learn:
How a Generative AI application is built
How it is containerized
How it is deployed to different clouds
And how deployment strategies differ across platforms
By the end, you’ll have hands-on, production-style deployment experience, not just certificates.
What You Will Build
Throughout the course, you will build:
A Python-based Generative AI Flashcard Web Application
Uses OpenAI API to generate intelligent flashcards
Runs locally on your machine
Deployed to Vercel (serverless)
Containerized using Docker
Deployed to Google Cloud Run
Deployed to Azure Container Instances
This project can be:
Added to your portfolio
Used as a template for future AI apps
Extended into larger AI-powered systems
What You Will Learn (In Detail)
Application Development
Setting up Python and VS Code for web development
Creating a “Hello World” Python web app
Structuring a real-world Python AI project
Integrating OpenAI APIs securely
Running and testing applications locally
Containerization with Docker
Installing Docker on your local machine
Understanding Docker images, containers, and layers
Writing a Dockerfile for a Python web application
Building Docker images locally
Running and debugging containers
Deployment to Vercel
Understanding serverless deployments
Deploying a Python web application to Vercel
Managing environment variables securely
Testing your live application
Deployment to Google Cloud
Overview of GCP deployment services
Creating and using Google Artifact Registry
Pushing Docker images to Google Cloud
Deploying containerized apps to Google Cloud Run
Understanding Cloud Run scaling and pricing basics
Deployment to Azure
Overview of Azure deployment services
Creating Azure Container Registry
Pushing Docker images to Azure
Deploying containers to Azure Container Instances
Comparing Azure deployment with Google Cloud Run
Multi-Cloud Deployment Strategy
Differences between Vercel, GCP, and Azure deployments
When to choose which platform
Real-world deployment decision-making
If you want to go from “I can build apps” to “I can deploy apps in production”, this course is for you.
You will be guided step by step through:
Docker
Cloud setup
Deployment workflows
Free accounts will be required for:
Vercel
Google Cloud
Microsoft Azure
OpenAI
By the End of This Course, You Will Be Able To
Build and deploy a Generative AI web application Confidently use Docker for Python applications Deploy applications on Vercel, Google Cloud, and Azure Understand real-world cloud deployment workflows, Add a multi-cloud GenAI project to your portfolio Speak confidently about deployment in interviews
Why This Course Is Different
Build one real application, not random demos
Covers Vercel + Google Cloud + Azure in a single course
Strong focus on hands-on deployment, not just theory
Perfect bridge between AI development and cloud deployment
This course comes with 30 days money back guarantee. No question ask. So what are you waiting for just enroll it today.
I will see you inside class.
Happy learning
Ankit Mistry
