AI-Powered IT Support Agent Project-Based Training

💡 FeesWorth helps you build real-world AI solutions — automate IT support, process emails, create tickets, and control GitHub with real-time insights.

10 Hours Total
4–5 Sessions

Course Overview

Objective

Build an AI-powered IT support automation system that processes email-based IT requests, identifies intents, creates tickets, and performs GitHub actions.

Target Audience

Students with basic programming knowledge in Python, JavaScript/TypeScript, HTML/CSS looking to build practical AI automation systems.

Technologies

Python (backend), TypeScript/React (frontend), WebSocket for real-time updates, GitHub API, and mock ticketing systems.

Project Scope

Focus on general IT requests and GitHub access/revoke functionalities. The system will process emails, identify intents, automate GitHub actions, and display real-time activity logs through a modern web interface.

⭐ AI Project Based Training

Master AI Development with Hands-On Projects

Build real-world IT support automation systems using Agentic AI principles. Learn Python, React, and modern AI tools through practical experience.

Start Learning Now ▶ Watch Demo
10+
Hours of Content
4–5
Live Sessions
100%
Project-Based

What You'll Build & Learn

This intensive course empowers you to build a real-world IT support automation system powered by Agentic AI principles.

🧑‍💻

Full IT Automation System

Build a complete automation system that processes emails, creates tickets, and shows real-time logs.

🔗

GitHub API Integration

Learn to integrate with real APIs and work with modern development workflows.

⚡

Real-Time Dashboard

Create a React-based activity log UI using modern tools like Python, WebSocket, and TypeScript.

🎓

Certificate Ready

Walk away with a portfolio-ready project and certificate to showcase your skills.

🛠️

Practical Experience

Gain hands-on experience with real APIs, workflows, and Agentic AI concepts.

🤖

Modern AI Tools

Build confidence working with modern AI-powered automation tools and frameworks.

By the end of the course, you'll walk away with:

  • ✅ A fully functional mini IT automation system
  • ✅ Experience using real APIs and real workflows
  • ✅ A solid foundation in Agentic AI concepts
  • ✅ A certificate and portfolio-ready project
Whether you're a student, a job-seeker, or a junior developer — this project-based training gives you the skills, exposure, and confidence to work with modern AI-powered automation tools.

🧠 AI PROJECT BASED TRAINING

AI Powered IT Ticketing System using Multi-Agent Architecture, MLOps & Deep Learning

Build a real-world IT support automation system using Agentic AI. Work hands-on with Python, GitHub APIs, and a React-based dashboard. Gain practical skills, a portfolio project, in just 10 hours.

⏱️ 10-hour intensive course ⭐ Hands-on project approach 📁 Portfolio-ready project

By the end of the course, you'll walk away with:

  • ✅ A fully functional mini IT automation system
  • ✅ A solid foundation in Agentic AI concepts
  • ✅ Experience using real APIs and real workflows
  • ✅ A certificate and portfolio-ready project
SYLLABUS
Enrollment Guide

Enrollment Guide

👤 Who Should Enroll

Ideal for learners who have completed foundational programming and are ready to build real-world projects.

Beginners interested in MLOps, automation, and real-world AI applications.

Anyone wanting to learn practical IT automation using AI agents.

🎯 Learning Objectives

Build a multi-agent AI system for IT support

Use NLP for email intent detection

Automate GitHub access/revoke via APIs

Create and update IT tickets in a mock system

Deploy a frontend dashboard with real-time activity logs

Understand MLOps practices like CI/CD & retraining

📘 Prerequisites

Python Programming Intermediate-level

Machine Learning & Deep Learning Intermediate-level

Artificial Intelligence Intermediate-level

MySQL / SQL Basics

🛠 Tools & Tech Stack

Backend: Python GitHub API FastAPI
Frontend: React (TypeScript) WebSockets
Automation: Multi-agent logic Mock ticketing system
AI NLP: Rule-based or lightweight NLP model for intent detection
Dev Ops: Versioning Retraining triggers (basic)
Whether you're a student, a job seeker, or a junior developer — this project-based training gives you the skills, exposure, and confidence to work with modern AI-powered automation tools.