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Backend AI Development Bootcamp (Offline)

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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 (Python Fundamentals)

  • Environment Setup
  • Data Type
  • Variable & Constants
  • Data Types
  • Type Conversion
  • Input/Output Operations
  • Operators
  • Conditional Statements (if-else)
  • Loops (for. while)
  • Functions
  • Lambda Functions
  • List Comprehension
  • String Manipulation
  • List
  • Tuple
  • Dictionary
  • Set
  • Exception Handling
  • File Handling
  • Module & Package
  • Virtual Environment
  • pip & Dependency Management

Milestone 2 (Python Object Oriented Programming)

  • Class & Object
  • Constructor (init)
  • Instance & Class Variables
  • Methods (Instance. Class. Static)
  • Encapsulation
  • Inheritance
  • Polymorphism
  • Abstraction
  • Magic Methods (__str__.__repr__)
  • Object-Oriented Design Practice

Milestone 3 (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 4 (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 5 (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 6 (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 7 (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 8 (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

Evaluation

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Tasfiq Kamran

Aminul Mahi

Shaiful Islam

MD Asadullah Shibli

Obaydullah Hasib

Nirban Mitra Joy

Md Maniruzzaman Manir

Md Anower Hossain

Mehedi Azad

Alomghir Hossain

Video Feedback

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Key Topics:

  • 1 Python Programming Lanugage
  • 2 Database & SQL
  • 3 Django Rest Framework
  • 4 FAST API
  • 5 Machine Learning Model Development
  • 6 Generative AI
  • 7 Deployment

Price

25000

Discount Price

15000

Duration

48 Classes (Weekly 2 Days) |Evening Batch: 6.00-9.00 | Day: Sunday & Tuesday

Available Seats

20

Class Type

Live

Access

Lifetime
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