Innovative Skills

Course Description

Join our Backend AI Development Bootcamp (Offline) to master Python, Django REST Framework, FastAPI, SQL, and real-world Machine Learning problem with NLP & Computer Vision—designed for aspiring backend engineers to build intelligent, production-ready APIs.

Milestone 1 (Database Management System & SQL)

Introduction to DBMS
Relational Database Concepts
Primary Key & Foreign Key
Normalization
ER Diagram
SQL Basics
CREATE TABLE(INSERT. SELECT. UPDATE. DELETE. WHERE Clause. ORDER BY. GROUP BY. HAVING.JOINS (INNER. LEFT. RIGHT. FULL))
Subqueries
Indexes
Views
Transactions
ACID Properties
Constraints
PostgreSQL Setup
Connecting Database with Python

Milestone 2 (Django with REST API)

Introduction to Django
Project & App Structure
URL Routing
Views
Templates
Models
Migrations
Admin Panel
Static & Media Files
Form Handling
User Authentication
Class-Based Views
Custom User Model
Django Signals
Introduction to DRF
Serializer
ModelSerializer
APIView
GenericAPIView
ViewSet
Router
Request & Response
CRUD Operations
Authentication & Permissions
JWT Authentication
Pagination
Filtering & Searching
Throttling
Versioning
Caching
File Upload API
Nested Serializer
DRF with PostgreSQL
API Testing with Postman & Swagger

Milestone 3 (FAST API)

Introduction to FastAPI
Installation & Project Structure
Path Parameters & Query Parameters
Request Body & Pydantic Models
Data Validation
CRUD Operations
Dependency Injection
Response Models
Handling Errors & Exceptions
Authentication & Authorization
JWT Token Implementation
FastAPI with PostgreSQL
Async & Await Basics
Using SQLAlchemy with FastAPI
File Upload & Download
Background Tasks
Middleware
FastAPI with Frontend (CORS)
Testing with Pytest
Automatic Docs (Swagger & ReDoc)

Milestone 4 (Machine Learning, Deep Learning, Generative AI for NLP)

Introduction to NLP
ETL in NLP
Traditional Machine Learning Algorithm for NLP
Deep Neural Network
Backpropagation
RNN
LSTM
Transformer
LLM Model Development
Fine Tuning
API Integration

Milestone 5 (Deep Learning in Computer Vision)

Introduction to Computer Vision
Image Basics (Pixels. Channels. Color Spaces)
Image Processing with OpenCV
Image Resizing & Normalization
Filtering & Edge Detection
Data Augmentation
Convolutional Neural Networks (CNN)
Architecture of CNN (Conv. Pooling. Fully Connected)
Activation Functions
Image Classification with CNN
Transfer Learning (VGG. ResNet. MobileNet)
Custom Dataset Training
Evaluation Metrics (Accuracy. Confusion Matrix)
Object Detection Basics (YOLO. SSD)
Face Detection
Real-time Detection with OpenCV
Image Segmentation Concepts
Semantic Segmentation with U-Net
Mask R-CNN

Milestone 6 (AI + Backend + Deployment)

Introduction to Model Deployment
Saving & Loading Models (Pickle/Joblib)
Model Inference Script
Creating REST API with FastAPI/DRF
Docker Basics for AI Projects
Dockerizing ML/DL Applications
Creating Dockerfile & .dockerignore
Testing Locally with Docker
Introduction to Cloud Deployment
Environment Setup on EC2
Serving Models with Gunicorn & Nginx
Setting up HTTPS with SSL
Postman & Swagger for API Testing
Model Versioning
Monitoring & Logging
CI/CD Basics for AI Projects

Project List (NLP + LLM + Computer Vision + Backend + Deployment)

Build a Recommendation Engine
Build a AI Agent Chatbot
Build a Intelligent Vision Security System

Salman Md Sultan

Education

M.Sc. in Information and Communication Engineering, Chosun University, Gwangju, South Korea. CGPA: 4.25 out of 4.50, passing year: 2021., CGPA: 4.25 out of 4.50,
B.Sc. in Computer Science and Engineering, University of Asia Pacific, Dhaka, Bangladesh. CGPA: 3.75 out of 4.00, passing year: 2017., CGPA: 3.75 out of 4.00,
Higher Secondary Certificate (HSC): Science, Government Laboratory High School, Dhaka. GPA: 4.40 out of 5, passing year: 2013., GPA: 4.40 out of 5,
Secondary School Certificate (SSC): Science, Government Laboratory High School, Dhaka. GPA: 4.69 out of 5, passing year: 2011., GPA: 4.69 out of 5,

IT Industrial Experience (6 Years)

No.	Institution	Designation	Duration
1	Innovative Skills Ltd.	Chief Executive Officer (CEO)	2023-Continue
2	Gachon University	External AI Researcher	01/05/2023-Continue
3	European IT	Team Leader (R&D)	01/02/22-30/04/2023
4	TISCON	Python Developer	01/10/21-31/01/22
5	Chosun University	AI Research Programmer	03/09/19-31/08/21
6	Robi Axiata Limited	Report Analyst	10/04/18-30/09/18

Project/Research

2022-2023: Development of Collective Collaboration Intelligence Framework for Internet of Autonomous Things, South Korea. [RSSI, Localization, Data Analysis, Supervised Learning]
2023 [Running]: Geobag Counting using Deep Learning. [Yolov3, Django, MySQL, Bootstrap], jQuery]
2022-2023: Employee Attendance System using Computer Vision [OpenCV, Yolov3, Django, Firebase]
2021-2022: Intelligent platform for Indoor Spatial Data Infrastructure Based on Crowd-sourcing Behavior, South Korea. [RSSI, Localization, Data Analysis, Supervised Learning]
2020-2022: Smart city urban infrastructure air quality real-time monitoring and prediction platform technology development, South Korea. [Tensorflow, Deep Reinforcement Learning, LSTM, Drone Navigation, AQI Data Analysis]
2021: Employee Attendance System using Computer Vision [Dlib, Face_recognition API]
2021: Exam Proctoring System using Computer Vision [Dlib, Face_recognition, Yolov3]
2019-2021: Development of Autonomous Collaborative Swarm Intelligence Technologies, South Korea. [Tensorflow, Google Dev. Board, Deep Reinforcement Learning, LSTM, Dense, IoT]