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 :
Key Highlights :
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Fundamentals of Full Stack Web Development from Beginner to Advanced
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HTML5, CSS3, JavaScript & Modern Responsive Design
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React.js, Next.js & TypeScript Development
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Backend Development with Node.js & Express.js
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MongoDB Database Design & Mongoose
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REST API Development & Authentication
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AI-Powered Development using ChatGPT & Modern AI Tools
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Large Language Models (LLMs) & Prompt Engineering
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Retrieval-Augmented Generation (RAG)
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AI Agents with LangChain & LangGraph
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Multi-Agent Systems & MCP (Model Context Protocol)
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AI Automation using n8n & Workflow Design
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Building AI SaaS Applications from Scratch
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System Design & Scalable Application Architecture
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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)
Softwares You'll Learn:
(AI Driven)
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
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| Class 5 | Lab (Practical) | Enterprise AI SaaS Development (Phase 2) |
N/A
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| Class 6 | Lab (Practical) | Deployment, Testing & Production Release |
N/A
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| Class 7 | Lab (Practical) | Portfolio Website, GitHub Optimization & Documentation |
N/A
|
| Class 8 | Lab (Practical) | Resume Building, LinkedIn Optimization & Freelancing Guide |
N/A
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| Class 9 | Lab (Practical) | Final Project Presentation, Viva & Mock Technical Interview |
N/A
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| Class 10 | Offline (Theory) | Career Roadmap, Job Preparation, Industry Q&A & Course Wrap-up |
N/A
|
Admission Is Going On
Enroll now to any of our Offline Courses (On- Campus)
Course Fee Offline
BDT. 95000
Online (Live Class) courses as per your suitable time.
Course Fee Online
BDT. 50000
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.
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.


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