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Hands-On Workshop From Code to Cloud
Published 9/2026
Created by Lukasz Kallas
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 11 Lectures ( 2h 31m ) | Size: 2.7 GB
Build and deploy a Next.js app with AI, Docker, Terraform, GitHub Actions, AWS, DNS, and HTTPS
What you'll learn
Build a complete application from an empty folder using an AI coding agent Direct and review AI-generated application and infrastructure code Containerize a Next.js application with Docker Define AWS infrastructure using Terraform Build an automated CI/CD pipeline with GitHub Actions Deploy a containerized application to AWS Configure a custom domain and HTTPS for a cloud application Debug real application, infrastructure, IAM, and deployment problems with an AI agentRequirements
Basic understanding of web application development Basic familiarity with Docker and containers Basic familiarity with AWS Basic understanding of Terraform and Infrastructure as Code Basic familiarity with Git and GitHub No previous experience with Cursor or AI coding agents is requiredDescription
What does it actually look like to go from an empty folder to a real application running in the cloud while letting an AI coding agent do the coding?
This hands-on workshop takes a different approach from a traditional course.
Instead of learning one technology in isolation, we'll bring multiple tools together and use an AI coding agent inside Cursor to take a project through the entire journey from code to cloud.
And there's another important difference: we won't hand-write the application or infrastructure code ourselves.
We'll start with an empty folder and direct an AI agent to scaffold a Next.js application. From there, we'll containerize it with Docker, define its AWS infrastructure using Terraform, push everything to GitHub, and create a GitHub Actions CI/CD pipeline that automatically builds and deploys the application.
Finally, we'll connect our own domain and configure HTTPS so that our application is accessible through a real URL with a valid certificate.
Throughout the workshop, we'll work with
AI-assisted development with Cursor Next.js Docker and containerization Terraform and Infrastructure as Code AWS cloud infrastructure GitHub GitHub Actions CI/CD DNS and custom domains HTTPS and certificates Automated application deploymentsBut this workshop isn't really about watching an AI agent generate code.
The important part is learning how to direct it.
You'll see how to describe requirements, review generated code and infrastructure, verify what the agent is doing, and decide whether its proposed approach actually makes sense.
And things will go wrong.
We'll encounter real issues and instead of editing everything manually or hiding those problems, we'll work through them with the AI agent.
That's an important part of the workshop.
AI coding agents are non-deterministic. They can make different decisions, misunderstand requirements, and generate solutions that don't work on the first attempt. Learning how to recognize those problems, provide additional context, and guide the agent toward a working solution is part of modern AI-assisted development.
By the end of the workshop, we'll have taken a project from an empty folder to a complete cloud deployment with an automated CI/CD pipeline, custom domain, and HTTPS.
More importantly, you'll have seen what it actually looks like to use an AI coding agent across application development, containers, Infrastructure as Code, CI/CD, and cloud infrastructure while remaining in control of the process.
This workshop is a great fit if you are
A developer exploring AI-assisted software development A cloud or DevOps engineer interested in coding agents A full-stack developer wanting to connect development and infrastructure Someone already familiar with individual cloud and DevOps tools who wants to see how they work together Anyone interested in using AI agents for more than generating isolated pieces of codeThis workshop assumes basic familiarity with technologies such as Docker, Terraform, AWS, GitHub, and web development. We won't teach each technology from scratch. Instead, we'll focus on combining them into one complete workflow.
If you're looking for individual technology fundamentals, my Hands-On Introduction courses cover those topics separately.
If you're ready to put the pieces together and see how far an AI coding agent can take a real project, let's start with an empty folder and move from code to cloud.
Who this course is for
A developer exploring AI-assisted software development A cloud or DevOps engineer interested in coding agents A full-stack developer wanting to connect development and infrastructure Someone already familiar with individual cloud and DevOps tools who wants to see how they work together Anyone interested in using AI agents for more than generating isolated pieces of codeHomepage
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