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Gen AI Agent Skills Lab for Full Stack Web Deployment Basic!
New
Rating: 4.0 out of 5(1 rating)
26 students

Gen AI Agent Skills Lab for Full Stack Web Deployment Basic!

Beginner lab for Gen AI code generation with agent skills FastAPI HTTP Nginx Docker Ubuntu VM full stack app testing lab
Last updated 7/2026
English
English [Auto],

What you'll learn

  • AI Code Generation Agent Skills Lab Full Stack Deployment AI
  • Basic practical lab for agent AI skill code generation FastAPI HTTP Nginx Docker full stack deployment Ubuntu VM testing
  • Beginner Gen AI Skills Lab for FastAPI Web App Deployment AI
  • Learn Gen AI agent skills for code generation FastAPI HTTP Nginx Docker web app deployment Ubuntu VM verification test OK
  • Gen AI Agent Skills Lab for Full Stack Web Deployment Basic
  • Beginner lab for Gen AI code generation with agent skills FastAPI HTTP Nginx Docker Ubuntu VM full stack app testing lab
  • Basic Gen AI Agent Skills Lab Full Stack Web Deployment AI
  • Short basic lab using Gen AI code generation agent skills FastAPI HTTP Nginx Docker full stack app verification test lab

Course content

2 sections19 lectures2h 1m total length
  • Gen AI Agent Skills Lab for Full Stack Web Deployment Basic!57:08
  • New to Linux Virtualization? Start Here First0:22
  • Advantages And Use Cases0:16
  • Disadvantages0:10
  • Problems And Solutions0:27
  • Frequently Asked Questions FAQ0:51
  • DOWNLOAD >> code_gen_lab_ai_agent_webapp_deploy.zip - LAB GUIDE

Requirements

  • This is a beginner level course requiring basic computer knowledge only. Students should have access to a computer capable of running a virtual machine using VirtualBox or VMware with Ubuntu Linux desktop installed. Basic understanding of operating systems files folders web browsers and command line usage is helpful but not mandatory. No advanced programming experience is required. Learners should have internet access for installing software packages and AI coding tools. A basic understanding of HTML Python programming concepts or web applications can be helpful but beginners can learn through the practical lab approach. Students need access to an AI coding agent such as Devin AI Windsurf AI or another compatible AI assistant that supports code generation workflows. The course focuses on learning practical AI assisted development methods rather than becoming an advanced programmer.

Description


This course is a basic practical lab for beginners who want to learn how to use Gen AI coding agents with agent skills files to create test deploy and verify a simple full stack web application. The lab focuses on using AI agents such as Devin AI Windsurf AI or other coding agents to support code generation automation testing troubleshooting and deployment tasks.

Students will build a simple task management web application using beginner friendly technologies including Python FastAPI backend JavaScript frontend HTML PostgreSQL Redis HTTP Nginx Docker. The application will be developed tested and deployed inside an Ubuntu Linux desktop virtual machine environment using VirtualBox or VMware. The same lab concepts can be practiced on Windows Linux or macOS systems.

The course teaches how to prepare an AI assisted development lab install required tools configure the environment generate application code verify functionality troubleshoot issues and automate testing using AI agent skills.

Why Is This Course Important?

Modern software development is changing with the growth of Generative AI code generation tools. Developers can now use AI agents to create code review problems suggest solutions generate tests automate deployment steps and improve productivity.

Understanding how to work with AI agent skills files helps beginners learn practical workflows instead of only learning programming theory. This course introduces how humans can collaborate with AI agents to build simple applications faster while maintaining control over testing verification security and deployment.

Advantages Of Learning This Course

  • Learn practical AI assisted web development workflow

  • Understand how AI agents use skill files for automation

  • Practice full stack application deployment basics

  • Learn Docker based application testing

  • Understand FastAPI backend deployment concepts

  • Practice HTTP Nginx web server configuration

  • Learn database testing with PostgreSQL Redis

  • Build confidence using modern development tools

Who Should Learn This Course?

This course is designed for beginners students IT professionals system administrators developers testers cloud learners and anyone interested in learning AI assisted application development.

Future Benefits

AI assisted development will become an important skill for software developers and IT professionals. Learning how to guide AI agents create applications verify results automate tasks and troubleshoot systems will help learners adapt to future software development environments.

This foundation can help learners continue into advanced areas such as cloud deployment DevOps automation Kubernetes CI/CD AI engineering and professional full stack development.



Who this course is for:

  • Beginners interested in AI coding Learn how Gen AI agents can help create applications generate code automate tasks and support software development without requiring years of programming experience.
  • Students and new developers Practice real full stack development workflows using FastAPI JavaScript HTML Docker PostgreSQL Redis and Nginx in a controlled beginner lab environment.
  • IT professionals and system administrators Understand how AI agents can assist with application deployment configuration testing verification and troubleshooting activities.
  • Anyone interested in future technology skills Build practical knowledge of AI assisted development workflows that are becoming important across software engineering cloud computing and automation.