Background
Background

1600 Students enrolled in the course

689 Reviews

Fullstack AI Development

Delivery Mode

Theory

Lab Based

Online Live Class

Recorded Video

By combining Full Stack Development with Artificial Intelligence, this course prepares students to build modern AI-powered web applications from scratch. Starting with HTML, CSS, JavaScript, React, Node.js, Express.js, and MongoDB, learners gradually move into Large Language Models (LLMs), Prompt Engineering, RAG, AI Agents, MCP, LangGraph, AI Automation, and Fullstack AI SaaS development.

12 Months

Course Duration

57

Industrial Project

130

Classes

34

Bonus Track

Exclusive Solutions That Set Us Apart :

Review Class

Practice Lab Support

Class Videos

Corporate Access Program (CAP)

Job Preparation Support

Mentor Support

Key Highlights :
  • Fundamentals of Full Stack Web Development from Beginner to Advanced

  • HTML5, CSS3, JavaScript & Modern Responsive Design

  • React.js, Next.js & TypeScript Development

  • Backend Development with Node.js & Express.js

  • MongoDB Database Design & Mongoose

  • REST API Development & Authentication

  • AI-Powered Development using ChatGPT & Modern AI Tools

  • Large Language Models (LLMs) & Prompt Engineering

  • Retrieval-Augmented Generation (RAG)

  • AI Agents with LangChain & LangGraph

  • Multi-Agent Systems & MCP (Model Context Protocol)

  • AI Automation using n8n & Workflow Design

  • Building AI SaaS Applications from Scratch

  • System Design & Scalable Application Architecture

  • Git, GitHub & Professional Development Workflow

Career Outcome:

Full Stack AI Developer

MERN Stack Developer

Frontend Developer (React.js / Next.js)

Backend Developer (Node.js / Express.js)

AI Application Developer

Generative AI Developer

AI Agent Developer

AI Automation Engineer

Prompt Engineer

Full Stack Software Engineer

Technical Instructor

Freelance AI Developer

Class Structure & Distribution of Total 130 Classes:

(For Offline Course)

Offline Class - Onsite in Campus: 96 Class


On Campus (Theory)

65 Classes - Per Class 2 Hrs

On Campus (Lab)

31 Classes - Per Class 2 Hrs

Extra Online & Recorded Class: 34 Class


Online Extra Live Class

24 Classes - Per Class 1+ Hrs

Required Recorded Videos

10 Classes - Duration Variable

Course Prerequisite:

Basic Knowledge of Using Computer

Desktop / Laptop

Internet Connection

This Course is Designed for

(Everyone)

Job seekers

Students

Homemakers

Entrepreneurs

Software Engineers

Tech Learners

Freelancers

Softwares You'll Learn:

(AI Driven)

VS Code

VS Code

Git & GitHub

Git & GitHub

Postman

Postman

Figma

Figma

Chrome DevTools

Chrome DevTools

ChatGPT

ChatGPT

Claude

Claude

Google Gemini

Google Gemini

OpenRouter

OpenRouter

n8n

n8n

Vercel

Vercel

Course Outline Structure

Provide required PDF + Class Recordings to ensure the best learning for our students.

14 Modules

147 Classes

79 Projects

138 Topics

147 Resources

Our Diploma Program is Divided into 0 Semesters.

Duration: 15 Classes

Focus:

Website Structure, Website Styling, Static Website Making

Class Type Breakdown:

  • Offline (Theory): 10 Classes
  • Lab (Practical): 3 Classes
  • Lab (Exam): 1 Class
  • Recorded Video: 1 Class

Projects Included: 12 Projects

Career Path:   HTML/CSS Developer

Prerequisites:   N/A


Key Highlights:

  •   Fundamental principles of Frontend Development
  •   Understanding HTML5 Structure & Semantic Elements
  •   Modern CSS3 Styling & Layout Techniques
  •   Responsive Design using Flexbox & CSS Grid
  •   Pixel Perfect Figma to HTML Conversion
  •   Bootstrap & Tailwind CSS Frameworks
  •   Git & GitHub Version Control
  •   Professional Frontend Development Workflow

Projects:

  •   Figma to HTML CSS with Flexbox (3)
  •   Figma to HTML CSS with CSS Grid (3)
  •   Figma to HTML CSS with Bootstrap (3)
  •   Figma to HTML CSS with Tailwind CSS (3)

Class No. Class Type Topic/Lesson Resource Type
Class 1 Offline (Theory) Introduction to HTML
Class Video
Class 2 Offline (Theory) Introduction to CSS Properties
Class Video
Class 3 Offline (Theory) CSS Position
Class Video
Class 4 Offline (Theory) Introduction to Flexbox & How Flexbox Works
Class Video
Class 5 Offline (Theory) Flexbox Project
Class Video
Class 6 Lab (Practical) Use of Flexbox Properties with Project
Class Video
Class 7 Offline (Theory) CSS Grid Layout + Grid Project
Class Video
Class 8 Offline (Theory) Introduction to Bootstrap
Class Video
Class 9 Offline (Theory) Bootstrap Project
Class Video
Class 10 Lab (Practical) Bootstrap Components with Project
N/A
Class 11 Offline (Theory) Introduction to Tailwind CSS
Class Video
Class 12 Offline (Theory) Tailwind CSS Project
Class Video
Class 13 Lab (Practical) Tailwind Utilities with Project
N/A
Class 14 Lab (Exam) MCQ + Project
N/A
Class 15 Recorded Video Git & GitHub
Recorded Video

Duration: 12 Classes

Focus:

JavaScript Fundamentals, Logic Building & Interactive Web Development

Class Type Breakdown:

  • Offline (Theory): 7 Classes
  • Lab (Practical): 4 Classes
  • Lab (Exam): 1 Class

Projects Included: 10 Projects

Career Path:   JavaScript Developer

Prerequisites:   HTML, CSS


Key Highlights:

  •   JavaScript Fundamentals (Variables, Data Types, Operators)
  •   Control Flow, Functions & Loops
  •   Arrays, Objects & Modern ES6+ Features
  •   DOM Manipulation & Event Handling
  •   Asynchronous JavaScript (Promises & Async/Await)
  •   Logic Building & Problem Solving
  •   Debugging & Clean Code Practices
  •   Interactive Web Application Development

Projects:

  •   Todo List
  •   Typing Speed Tester
  •   Counter App
  •   Interactive Calculator
  •   Theme Switcher
  •   Rock–Paper–Scissors Game
  •   Tic-Tac-Toe
  •   Multiplication Quiz
  •   Weather App
  •   Digital Clock

Class No. Class Type Topic/Lesson Resource Type
Class 1 Offline (Theory) JavaScript Variables, Operators & Data Types
Class Video
Class 2 Offline (Theory) JavaScript Conditions & Decision Making
Class Video
Class 3 Offline (Theory) JavaScript Objects & Arrays
Class Video
Class 4 Lab (Practical) Previous Class Practice
N/A
Class 5 Offline (Theory) JavaScript Functions, JavaScript Loops & Iteration + Project
Class Video
Class 6 Offline (Theory) JavaScript Mini Project
Class Video
Class 7 Lab (Practical) Previous Class Practice
N/A
Class 8 Offline (Theory) JavaScript DOM Manipulation, JavaScript Events & Event Delegation
Class Video
Class 9 Offline (Theory) Asynchronous JavaScript (Callback, Promise, Async/Await)
Class Video
Class 10 Lab (Practical) Previous Class Practice
N/A
Class 11 Lab (Practical) JavaScript Mini Project Practice
N/A
Class 12 Lab (Exam) MCQ + Project
N/A

Duration: 16 Classes

Focus:

Interactive UI Development, Component-Based Architecture & Modern Frontend Applications

Class Type Breakdown:

  • Offline (Theory): 9 Classes
  • Lab (Practical): 3 Classes
  • Lab (Exam): 1 Class
  • Recorded Video: 3 Classes

Projects Included: 10 Projects

Career Path:   React.js Developer, Frontend Developer, UI Developer, Next.js Developer (Junior)

Prerequisites:   HTML, CSS, JavaScript


Key Highlights:

  •   React Fundamentals & Component-Based Development
  •   Props, State & Event Handling
  •   React Hooks & Custom Hooks
  •   React Router & Navigation
  •   API Integration using Fetch & Axios
  •   State Management with Context API, Redux Toolkit & Zustand
  •   Next.js & TypeScript Introduction
  •   Building Production-Ready React Applications

Projects:

  •   HTML to React Conversion
  •   React Counter App
  •   Typing Speed Tester
  •   Todo List Application
  •   Single Vendor Ecommerce UI
  •   Multi Vendor Ecommerce UI
  •   Messaging Website
  •   Event Calendar
  •   Task Management App
  •   Weather Application

Class No. Class Type Topic/Lesson Resource Type
Class 1 Offline (Theory) React Installation, JSX, Components & Props
Class Video
Class 2 Offline (Theory) State, Conditional Rendering & React Hooks
Class Video
Class 3 Offline (Theory) React Forms, Events & Project
Class Video
Class 4 Lab (Practical) Previous Class Practice
N/A
Class 5 Offline (Theory) Context API & State Management
Class Video
Class 6 Offline (Theory) Redux Toolkit
Class Video
Class 7 Offline (Theory) Zustand State Management
Class Video
Class 8 Lab (Practical) Previous Class Practice
N/A
Class 9 Offline (Theory) API Integration (Fetch & Axios) + Project Development
Class Video
Class 10 Offline (Theory) React Project Development
Class Video
Class 11 Lab (Practical) Project Development
N/A
Class 12 Offline (Theory) React Project Finalization
Class Video
Class 13 Lab (Exam) MCQ + Project
N/A
Class 14 Recorded Video Next.js Fundamentals
Recorded Video
Class 15 Recorded Video React Native Fundamentals
Recorded Video
Class 16 Recorded Video TypeScript
Recorded Video

Duration: 6 Classes

Focus:

Backend Fundamentals, Server-Side Development & Node.js Core Modules

Class Type Breakdown:

  • Offline (Theory): 5 Classes
  • Lab (Practical): 1 Class

Projects Included: 2 Projects

Career Path:   Node.js Developer, Backend Developer, API Developer

Prerequisites:   JavaScript, ES6+, Asynchronous JavaScript


Key Highlights:

  •   Backend Development Fundamentals
  •   Node.js Runtime & Event-Driven Architecture
  •   Core Modules (FS, Path, OS, Buffer, Events)
  •   HTTP Server Development
  •   Streams & File Handling
  •   Environment Variables & Configuration
  •   Multithreading with Worker Threads
  •   Building Secure & Scalable Backend Applications

Projects:

  •   File Streaming Application
  •   Secure REST API

Class No. Class Type Topic/Lesson Resource Type
Class 1 Offline (Theory) Introduction to Node.js, Event Emitter & Buffer
Class Video
Class 2 Offline (Theory) Buffer, File System (FS Module)
Class Video
Class 3 Offline (Theory) Streams & File Streaming
Class Video
Class 4 Offline (Theory) HTTP Module & Creating a Web Server
Class Video
Class 5 Lab (Practical) Previous Class Practice
N/A
Class 6 Offline (Theory) Multithreading with Worker Threads
Class Video

Duration: 4 Classes

Focus:

Building RESTful APIs, Backend Architecture & Express.js Fundamentals

Class Type Breakdown:

  • Offline (Theory): 3 Classes
  • Lab (Practical): 1 Class

Projects Included: 2 Projects

Career Path:   Express.js Developer, Backend Developer, REST API Developer

Prerequisites:   Node.js, HTTP Fundamentals


Key Highlights:

  •   Express.js Fundamentals & Project Structure
  •   Routing & Middleware
  •   Request & Response Handling
  •   MVC Architecture Basics
  •   REST API Development
  •   API Security & Validation
  •   API Documentation
  •   Clean & Scalable Backend Development

Projects:

  •   Secure REST API
  •   API Documentation with Swagger

Class No. Class Type Topic/Lesson Resource Type
Class 1 Offline (Theory) Express.js Introduction, Server Setup & Routing
Class Video
Class 2 Offline (Theory) Middleware, Controllers & Request Lifecycle
Class Video
Class 3 Offline (Theory) Secure API Development, Validation & API Documentation
Class Video
Class 4 Lab (Practical) Build REST API & Previous Class Practice
N/A

Duration: 8 Classes

Focus:

Database Design, Data Modeling & Backend Data Management with MongoDB

Class Type Breakdown:

  • Offline (Theory): 7 Classes
  • Lab (Practical): 1 Class

Projects Included: 3 Projects

Career Path:   MongoDB Developer, Backend Developer, Database Developer, MERN Stack Developer

Prerequisites:   Node.js, Express.js


Key Highlights:

  •   MongoDB Fundamentals & NoSQL Database Concepts
  •   CRUD Operations & Query Optimization
  •   Data Modeling with Mongoose
  •   Schema Design & Validation
  •   Relationships using Referencing & Population
  •   Aggregation Framework & Indexing
  •   Database Security & Performance Optimization
  •   MongoDB Integration with Express.js APIs

Projects:

  •   Smart Inventory Manager
  •   User Authentication & Profile Database
  •   Task Tracker API with Categories & Status Filtering

Class No. Class Type Topic/Lesson Resource Type
Class 1 Offline (Theory) MongoDB CRUD Operations Basics
Class Video
Class 2 Offline (Theory) Schema Design, Relationships & Data Modeling
Class Video
Class 3 Offline (Theory) Advanced CRUD Operations
Class Video
Class 4 Offline (Theory) Indexing & Query Optimization
Class Video
Class 5 Offline (Theory) Aggregation Framework
Class Video
Class 6 Offline (Theory) Introduction to Mongoose & Schema Implementation
Class Video
Class 7 Offline (Theory) Advanced Mongoose (Models, Middleware, Populate, Validation)
Class Video
Class 8 Lab (Practical) Previous Class Practice
N/A

Duration: 5 Classes

Focus:

Building Production-Ready Backend Applications with Authentication, Payment Integration & AI-Assisted Development

Class Type Breakdown:

  • Offline (Theory): 5 Classes

Projects Included: 3 Projects

Career Path:   Backend Developer, MERN Stack Developer, API Developer, Full Stack Developer

Prerequisites:   Node.js, Express.js, MongoDB & Mongoose, REST API Development


Key Highlights:

  •   Authentication & Authorization using JWT
  •   Role-Based Access Control (RBAC)
  •   Payment Gateway Integration
  •   Product Variant & Inventory Management
  •   Secure Backend Development
  •   AI-Powered Coding & Debugging
  •   GraphQL Fundamentals
  •   Real-World Backend Project Development

Projects:

  •   Full Authentication & Authorization System
  •   Payment Gateway Integration (Stripe, PayPal & SSLCOMMERZ)
  •   E-commerce Product Management with Variants

Class No. Class Type Topic/Lesson Resource Type
Class 1 Offline (Theory) Full Authentication & Authorization (JWT, RBAC)
Class Video
Class 2 Offline (Theory) Authentication & Authorization (Refresh Token, Email Verification)
Class Video
Class 3 Offline (Theory) Payment Gateway Integration (Stripe, PayPal & SSLCOMMERZ)
Class Video
Class 4 Offline (Theory) E-commerce Product Upload with Variants
Class Video
Class 5 Offline (Theory) Product Variants, Inventory & Media Upload
Class Video

Duration: 8 Classes

Focus:

Scalable Backend Architecture, Distributed Systems & Real-World System Design

Class Type Breakdown:

  • Offline (Theory): 7 Classes
  • Lab (Exam): 1 Class

Projects Included: 10 Projects

Career Path:   Backend Developer, Software Engineer, System Design Engineer, Solution Architect (Junior), Technical Architect

Prerequisites:   Node.js, Express.js


Key Highlights:

  •   Computer Networking Fundamentals
  •   HTTP, HTTPS & Web Protocols
  •   Monolithic vs Microservices Architecture
  •   Scalable System Design Principles
  •   Caching, Storage & Performance Optimization
  •   Security, Load Balancing & Fault Tolerance
  •   Designing Production-Ready Backend Systems
  •   Real-World System Design Case Studies

Projects:

  •   Simple URL Shortener Service
  •   Todo List API System
  •   Basic Blog Platform
  •   Notes Sharing Service
  •   Online Quiz Platform
  •   E-Commerce Backend System
  •   Chat Application Backend
  •   Ride-Sharing Backend System
  •   Video Streaming Platform Architecture
  •   Social Media Backend System

Class No. Class Type Topic/Lesson Resource Type
Class 1 Offline (Theory) Computer Networking Fundamentals
Class Video
Class 2 Offline (Theory) HTTP, HTTPS, TCP/IP & Web Protocols
Class Video
Class 3 Offline (Theory) Software Architecture Patterns (MVC, Layered, Microservices)
Class Video
Class 4 Offline (Theory) Scalability, Storage & Performance Optimization
Class Video
Class 5 Offline (Theory) Security, Load Balancing & Fault Tolerance
Class Video
Class 6 Offline (Theory) System Design Case Study: E-Commerce Backend
Class Video
Class 7 Offline (Theory) Designing Scalable APIs & Backend Architecture
Class Video
Class 8 Lab (Exam) MCQ + System Design Project
N/A

Duration: 11 Classes

Focus:

Building Production-Ready Full Stack Applications with React, Node.js, Express & MongoDB

Class Type Breakdown:

  • Offline (Theory): 7 Classes
  • Recorded Video: 4 Classes

Projects Included: 5 Projects

Career Path:   MERN Stack Developer, Full Stack Developer, Frontend Developer, Backend Developer, Software Engineer

Prerequisites:   React.js, Node.js, Express.js, MongoDB & Mongoose, Authentication & Authorization, System Design Fundamentals


Key Highlights:

  •   Complete Full Stack Application Development
  •   Frontend & Backend Integration
  •   REST API Integration
  •   Authentication & Authorization Implementation
  •   State Management & Protected Routes
  •   Production-Ready Project Structure
  •   Deployment Best Practices
  •   Real-World Portfolio Development

Projects:

  •   Single Vendor Ecommerce
  •   Multi Vendor Ecommerce
  •   Real-Time Messaging Website
  •   Event Calendar Application
  •   Task Management System

Class No. Class Type Topic/Lesson Resource Type
Class 1 Offline (Theory) Single Vendor Ecommerce – Project Planning & Architecture
Class Video
Class 2 Offline (Theory) Authentication, User Management & Project Setup
Class Video
Class 3 Offline (Theory) Product, Category & Inventory Management
Class Video
Class 4 Offline (Theory) Shopping Cart, Wishlist & Checkout
Class Video
Class 5 Offline (Theory) Order Management & Payment Integration
Class Video
Class 6 Offline (Theory) Admin Dashboard, Analytics & Role Management
Class Video
Class 7 Offline (Theory) Project Testing, Optimization & Deployment
Class Video
Class 8 Recorded Video Multi Vendor Ecommerce
Recorded Video
Class 9 Recorded Video Real-Time Messaging Website (Socket.io)
Recorded Video
Class 10 Recorded Video Event Calendar Application
Recorded Video
Class 11 Recorded Video Task Management System
Recorded Video

Duration: 11 Classes

Focus:

Understanding Large Language Models (LLMs), Prompt Engineering & Building AI Chatbot Applications

Class Type Breakdown:

  • Offline (Theory): 10 Classes
  • Lab (Exam): 1 Class

Projects Included: 3 Projects

Career Path:   Generative AI Developer, Prompt Engineer, AI Application Developer, LLM Engineer, AI Chatbot Developer

Prerequisites:   JavaScript, React.js, Node.js, REST API Fundamentals


Key Highlights:

  •   Introduction to Large Language Models (LLMs)
  •   Tokens, Context Window & Inference
  •   Prompt Engineering Techniques
  •   Zero-shot, Few-shot & Chain-of-Thought Prompting
  •   Working with LLM APIs
  •   Structured Outputs & Tool Calling
  •   Building AI Chatbots
  •   Retrieval-Augmented Generation (RAG) Basics

Projects:

  •   ChatGPT Clone
  •   Company Internal Chatbot using RAG
  •   AI Document Assistant

Class No. Class Type Topic/Lesson Resource Type
Class 1 Offline (Theory) Introduction to LLMs, AI Models & Capabilities
Class Video
Class 2 Offline (Theory) Tokens, Context Window & Inference
Class Video
Class 3 Offline (Theory) Prompt Engineering, Zero-shot, Few-shot, Chain-of-Thought & Best Practices
Class Video
Class 4 Offline (Theory) Working with LLM APIs & System Prompts
Class Video
Class 5 Offline (Theory) Prompt Message Structure & LLM Settings
Class Video
Class 6 Offline (Theory) Tool Calling Implementation
Class Video
Class 7 Offline (Theory) Build ChatGPT Clone – UI & Server
Class Video
Class 8 Offline (Theory) Integrate Chatbot with Backend & Memory
Class Video
Class 9 Offline (Theory) Loading State, Memory & Infinite Loop Prevention
Class Video
Class 10 Offline (Theory) Company Internal Chatbot using RAG
Class Video
Class 11 Lab (Exam) Build an AI Chatbot Application
N/A

Duration: 17 Classes

Focus:

Building Intelligent AI Agents, Advanced RAG Systems & Multi-Agent Applications using LangChain, LangGraph and MCP

Class Type Breakdown:

  • Offline (Theory): 16 Classes
  • Online Theory: 1 Class

Projects Included: 8 Projects

Career Path:   AI Agent Developer, LLM Engineer, Generative AI Developer, AI Application Developer, AI Solutions Engineer, AI Platform Engineer

Prerequisites:   Generative AI Fundamentals, Prompt Engineering, JavaScript, Node.js, REST APIs


Key Highlights:

  •   Retrieval-Augmented Generation (RAG)
  •   Agentic AI Fundamentals
  •   LangChain & LangGraph
  •   ReAct Agents
  •   Multi-Agent Systems
  •   MCP (Model Context Protocol)
  •   Human-in-the-Loop Workflows
  •   Production AI Applications

Projects:

  •   Company Internal Chatbot using RAG
  •   ReAct AI Agent
  •   Customer Support Chatbot
  •   AI LinkedIn Post Writer
  •   AI Research Agent (Perplexity Clone)
  •   Multi-Agent System
  •   Next Gen AI Image Editor
  •   AI Language Tutor

Class No. Class Type Topic/Lesson Resource Type
Class 1 Offline (Theory) Retrieval-Augmented Generation (RAG) Fundamentals
Class Video
Class 2 Offline (Theory) Vector Embeddings, Vector Store & Document Chunking
Class Video
Class 3 Offline (Theory) Company Internal Chatbot using RAG
Class Video
Class 4 Offline (Theory) Agentic AI, LangChain & LangGraph Fundamentals
Class Video
Class 5 Offline (Theory) Building ReAct Agents with Custom Tools
Class Video
Class 6 Offline (Theory) ReAct Agent using LangGraph
Class Video
Class 7 Offline (Theory) Build Google Calendar AI Agent
Class Video
Class 8 Offline (Theory) Agent Observability with LangSmith & Langfuse
Class Video
Class 9 Offline (Theory) Advanced RAG (Corrective RAG & Self-RAG)
Class Video
Class 10 Offline (Theory) Build Customer Support Chatbot
Class Video
Class 11 Offline (Theory) AI LinkedIn Post Writer
Class Video
Class 12 Offline (Theory) AI Research Agent
Class Video
Class 13 Offline (Theory) Multi-Agent System with Supervisor Agents
Class Video
Class 14 Offline (Theory) Human-in-the-Loop
Class Video
Class 15 Offline (Theory) Model Context Protocol (MCP) – Local & Remote Server
Class Video
Class 16 Offline (Theory) Build Next Gen AI Image Editor & AI Language Tutor
Class Video
Class 17 Online Theory AI Application Optimization
Class Video

Duration: 16 Classes

Focus:

Building AI Automation Systems, AI Workflows, AI SaaS Applications & Production-Ready AI Solutions

Class Type Breakdown:

  • Offline (Theory): 14 Classes
  • Recorded Video: 2 Classes

Projects Included: 6 Projects

Career Path:   AI Automation Engineer, Full Stack AI Developer, AI Solutions Engineer, AI Workflow Developer, AI SaaS Developer, AI Integration Engineer

Prerequisites:   LangChain & LangGraph, MCP (Model Context Protocol)


Key Highlights:

  •   Workflow Automation using n8n
  •   AI-Powered Business Automation
  •   Computer Use Agents
  •   AI Memory Systems
  •   AI CRM & Email Automation
  •   AI SaaS Development
  •   AI Deployment & Production Best Practices
  •   Building Enterprise AI Solutions

Projects:

  •   AI Email Automation System
  •   AI CRM Assistant
  •   AI Workflow Automation Pipeline
  •   Browser Automation Agent
  •   AI SaaS Application
  •   Autonomous AI Agent

Class No. Class Type Topic/Lesson Resource Type
Class 1 Offline (Theory) Introduction to AI Automation & Workflow Design
Class Video
Class 2 Offline (Theory) Enterprise AI Automation Architecture
Class Video
Class 3 Offline (Theory) n8n Fundamentals & Workflow Builder
Class Video
Class 4 Offline (Theory) AI Integration with n8n
Class Video
Class 5 Offline (Theory) AI Email, Calendar & Task Automation
Class Video
Class 6 Offline (Theory) Computer Use Agents & Browser Automation
Class Video
Class 7 Offline (Theory) AI Memory Systems (Working, Episodic & Semantic Memory)
Class Video
Class 8 Offline (Theory) Build AI Automation Pipeline (Email Triage + CRM Agent)
Class Video
Class 9 Offline (Theory) AI Workflow Monitoring & Error Handling
Class Video
Class 10 Offline (Theory) Build AI SaaS Backend with Authentication
Class Video
Class 11 Offline (Theory) Build AI SaaS Frontend (React + AI Integration)
Class Video
Class 12 Offline (Theory) Subscription, Usage Tracking & Billing
Class Video
Class 13 Recorded Video Deploy Full Stack AI SaaS Application
Recorded Video
Class 14 Recorded Video Performance Optimization & Security
Recorded Video
Class 15 Offline (Theory) Interview Project Review & Portfolio Optimization
Class Video
Class 16 Offline (Theory) Build an Autonomous AI Agent
Class Video

Duration: 8 Classes

Focus:

Preparing Students for Jobs, Freelancing & Production Deployment

Class Type Breakdown:

  • Offline (Theory): 8 Classes

Projects Included: 1 Project

Career Path:   Full Stack AI Developer, MERN Stack Developer, AI Automation Engineer, Freelance AI Developer, Software Engineer

Prerequisites:   Completion of All Previous Modules


Key Highlights:

  •   Portfolio Development
  •   GitHub Optimization
  •   Resume & LinkedIn Optimization
  •   AI Interview Preparation
  •   Freelancing & Client Hunting
  •   Application Deployment
  •   Industry Best Practices
  •   Career Roadmap

Projects:

  •   Build Professional Developer Portfolio

Class No. Class Type Topic/Lesson Resource Type
Class 1 Offline (Theory) GitHub Portfolio & Project Showcase
Class Video
Class 2 Offline (Theory) Resume, LinkedIn & Personal Branding
Class Video
Class 3 Offline (Theory) Deploy MERN Application (Vercel + Render)
Class Video
Class 4 Offline (Theory) Deploy AI Application & Environment Variables
Class Video
Class 5 Offline (Theory) Build Professional Portfolio Website
Class Video
Class 6 Offline (Theory) Mock Interview & Capstone Presentation
Class Video
Class 7 Offline (Theory) CV Review, GitHub Review & Interview Preparation
Class Video
Class 8 Offline (Theory) Career Guideline, Freelancing & Job Preparation Session
Class Video

Duration: 10 Classes

Focus:

Building Production-Ready AI Applications, Team Collaboration, Deployment & Career Preparation

Class Type Breakdown:

  • Offline (Theory): 4 Classes
  • Lab (Practical): 6 Classes

Projects Included: 4 Projects

Career Path:   Full Stack AI Developer, Software Engineer, AI Solutions Engineer, AI Automation Engineer, Technical Consultant, Freelance AI Developer

Prerequisites:   Completion of All Previous Modules


Key Highlights:

  •   Agile & Scrum Workflow
  •   Git Team Collaboration
  •   Production Deployment
  •   Code Review & Best Practices
  •   Portfolio & GitHub Optimization
  •   Resume & LinkedIn Branding
  •   Technical Interview Preparation
  •   Freelancing & Client Acquisition
  •   Industry Case Studies
  •   Capstone Presentation & Viva

Projects:

  •   Enterprise AI SaaS Platform
  •   Team-Based Client Project
  •   Production Deployment
  •   Professional Portfolio Website

Class No. Class Type Topic/Lesson Resource Type
Class 1 Offline (Theory) Agile, Scrum & Software Development Lifecycle (SDLC)
Class Video
Class 2 Offline (Theory) Git Team Workflow, Code Review & Pull Request Strategy
Class Video
Class 3 Offline (Theory) Team Formation, Sprint Planning & Project Architecture
Class Video
Class 4 Lab (Practical) Build Enterprise Full Stack AI SaaS Application (Phase 1)
N/A
Class 5 Lab (Practical) Enterprise AI SaaS Development (Phase 2)
N/A
Class 6 Lab (Practical) Deployment, Testing & Production Release
N/A
Class 7 Lab (Practical) Portfolio Website, GitHub Optimization & Documentation
N/A
Class 8 Lab (Practical) Resume Building, LinkedIn Optimization & Freelancing Guide
N/A
Class 9 Lab (Practical) Final Project Presentation, Viva & Mock Technical Interview
N/A
Class 10 Offline (Theory) Career Roadmap, Job Preparation, Industry Q&A & Course Wrap-up
N/A

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Course Related FAQ

Answer : No. We Don't. We will not make you earn, but we can make you capable of earning. Earning will depend entirely on your subject-specific knowledge, skills, and qualifications. We will help you with training and proper guidance on specific courses, related marketplaces, and how to get jobs in the marketplace. You have to make your earning journey smooth by sharpening your skills through time, effort, and patience. And how much you earn will depend on how much effort and time you put into your job. And remember one thing; freelancing is not the only option for earning money. You can also earn by hunting local clients, doing remote jobs, or running your own business.

Answer : Please click on this link to register for the seminar https://www.creativeitinstitute.com/free-seminar You will be notified regarding the date and time through a phone call before the seminar.

Answer : Please bring a recent copy of your passport-size photo, your NID/ birth certificate, and one of your academic certificates (S.S.C/ H.S.C).

Answer : Yes, you will receive a certificate if you successfully complete the course. You can also get a certification from the Govt Board of Technical Education by attending an assessment exam.

Answer : It's your choice. You can either pay the entire course fee in one go or in 4 installments at intervals of 25-30 days. The number of Installments will vary in your course duration.

Answer : Earning depends on your own subject skills and qualifications. At the end of the course, we refer our students to various companies through our Career Placement Department. If you attend classes regularly and complete the course with all the projects and exams, you have a great chance of getting a job after the course through our career placement department.

Answer : Our course fee is high for the additional services that we provide to all of our students. Paying once you get a lifetime opportunity to seek any career advice or help from us. With the course module, you get lab facilities and 24/7 online support so that you can reach us at your convenient time. In addition, we provide you with internship facilities for hands-on experience.

Course Services

Job Placement Support

Creative IT offers students an exclusive gateway to their dream careers through its Job Placement Support. Throughout the course, learners receive targeted training in CV crafting, portfolio development, and essential soft skills, ensuring they are industry-ready. Upon completion, students are strategically referred to companies that match their skills and potential.

Practice Lab

Our modern lab lets students practice, complete assignments, and explore creativity with the latest software, building real experience and confidence.

Backup Class

A Backup Class is a special facility where students can revisit lessons missed due to illness or emergencies. It helps maintain learning continuity and ensures that students’ progress is not interrupted. However, the number of backup classes may vary depending on the course. Therefore, it is advisable not to miss classes unless absolutely necessary.

Extra Class

Students who need extra practice can attend additional classes to clear doubts, revise lessons, and strengthen practical skills with dedicated trainer support.

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