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Python Full-Stack Software Engineering & Introduction to AI Development

The Python Full-Stack Software Engineering & AI Development Program is a comprehensive, practical training program designed to take students from programming fundamentals to the development and deployment of modern full-stack and AI-powered applications.

Students will learn Python as their primary programming language while developing the frontend, backend, databases, APIs, cybersecurity, testing, cloud deployment, and AI skills required to build complete, production-ready software products.

The program is strongly project-based, enabling students to apply programming concepts continuously through hands-on exercises, real-world projects, and practical application development.

By the end of the program, students will be able to design, develop, test, secure, deploy, and maintain modern full-stack and AI-powered applications.

Course Design Brief

Course Title: Python Full-Stack Software Engineering & Introduction to AI Development
Duration: 6 months instructor-led Training
Level: Beginner to Advance Level
Format: Online Training with Series of Projects
Regular Assignments & Case Studies

COURSE SCHEDULES

Days: Monday – Friday
Duration: 2hr Everyday
Time: 6pm (CST)

COURSE OBJECTIVES

By the end of this program, students will be able to:

Program professionally with Python.
Build responsive websites and modern web interfaces.
Develop backend applications using Django.
Build REST APIs using Django REST Framework and FastAPI.
Design and manage relational databases using PostgreSQL.
Develop modern frontend applications using React.
Connect frontend applications to Python backend APIs.
Implement authentication and authorization.
Apply web application security principles.
Test Python, backend and frontend applications.
Use Git and GitHub for professional software development.
Containerize applications using Docker.
Work with Linux development and production environments.
Deploy applications to cloud platforms.
Integrate AI capabilities into web applications.
Build AI-powered applications using LLM APIs.
Develop RAG-based applications.
Design and build complete production-ready applications.

WHO SHOULD TAKE THIS COURSE?

This program is suitable for:

Beginners interested in software development
Students and graduates
Aspiring software developers
Web developers
IT professionals transitioning into software engineering
Entrepreneurs building technology products
Freelancers
Professionals interested in AI application development
Anyone interested in becoming a Python Full-Stack Developer

No previous professional programming experience is required.

CAREER PATHS

Graduates can pursue roles such as:

Python Developer
Python Full-Stack Developer
Backend Developer
Django Developer
FastAPI Developer
Web Application Developer
Software Developer
Junior Software Engineer
API Developer
Full-Stack Engineer
AI Application Developer
Python Automation Developer
Cloud Application Developer

SYLLABUS

MODULE 1: INTRODUCTION TO SOFTWARE DEVELOPMENT

Students are introduced to the foundations of modern software development.

Topics include:

What is software?
What is web development?
What is full-stack development?
Frontend vs backend
Client-server architecture
Web browsers
Web servers
Databases
APIs
HTTP and HTTPS
Domains and DNS
Web hosting
Cloud computing
Software development lifecycle

Practical Project

Personal Developer Website

Students create and publish their first website.

MODULE 2: PYTHON FUNDAMENTALS

Students learn the foundations of Python programming.

Topics include:

Python syntax
Variables
Data types
Strings
Numbers
Boolean values
Lists
Tuples
Sets
Dictionaries
Operators
Input and output
Comments

Practical Projects

Calculator
Temperature converter
Grade calculator
Currency converter
Billing application

MODULE 3: PYTHON PROGRAMMING LOGIC

Topics include:

Conditional statements
if / elif / else
for loops
while loops
Nested loops
break
continue
Logical operators
Comparison operators

Practical Projects

Student grading system
ATM simulation
Simple inventory system

MODULE 4: PYTHON FUNCTIONS

Topics include:

Creating functions
Parameters
Arguments
Return values
Default parameters
Keyword arguments
Variable scope
Lambda functions
*args
**kwargs

Practical Project

Python Utility Application

Students build a reusable collection of Python functions.

MODULE 5: PYTHON DATA STRUCTURES

Topics include:

Lists
Dictionaries
Tuples
Sets
Nested data structures
List comprehensions
Dictionary comprehensions
Sorting
Searching
Filtering
Mapping

Practical Project

Employee Management System

MODULE 6: OBJECT-ORIENTED PROGRAMMING WITH PYTHON

Students learn how professional Python applications are structured.

Topics include:

Classes
Objects
Constructors
Attributes
Methods
Inheritance
Encapsulation
Polymorphism
Abstraction
Class methods
Static methods

Practical Project

Banking Management Application

Students design a banking system containing customers, accounts and transactions.

MODULE 7: PROFESSIONAL PYTHON DEVELOPMENT

Topics include:

Python modules
Packages
Imports
Virtual environments
pip
Dependency management
requirements files
Environment variables
Exception handling
Error handling
Logging
Debugging
Type hints
Docstrings
Code organization
Python coding standards

Practical Project

Professional Python Application

Students transform a basic Python application into a properly structured software project.

MODULE 8: PYTHON FILES, JSON & EXTERNAL APIS

Topics include:

File handling
CSV
JSON
Data serialization
Data deserialization
Reading and writing files
HTTP requests
Consuming external APIs
Working with JSON APIs

Practical Project

Weather & Public API Application

MODULE 9: HTML5

Students learn how web pages are structured.

Topics include:

HTML structure
Semantic HTML
Headings
Paragraphs
Links
Images
Tables
Forms
Input fields
Buttons
Audio and video
Accessibility fundamentals

Practical Project

School/Business Website

MODULE 10: CSS3 & RESPONSIVE WEB DESIGN

Topics include:

CSS selectors
Colors
Typography
Box model
Margins
Padding
Positioning
Flexbox
CSS Grid
Responsive design
Media queries
Animations
Transitions
Mobile-first development

Practical Project

Responsive Business Website

Students build a website that works across desktop, tablet and mobile devices.

MODULE 11: JAVASCRIPT

Students learn the JavaScript required for modern frontend development.

Topics include:

Variables
Data types
Functions
Arrays
Objects
Conditions
Loops
DOM manipulation
Events
Forms
Validation
JSON
Fetch API
Promises
Async/await
API requests

Practical Project

Interactive Student Dashboard

MODULE 12: DATABASE FUNDAMENTALS

Topics include:

What is a database?
Relational databases
Tables
Records
Fields
Primary keys
Foreign keys
Relationships
Constraints
Database normalization
Entity relationships

MODULE 13: SQL

Students learn to communicate directly with relational databases.

Topics include:

SELECT
INSERT
UPDATE
DELETE
WHERE
ORDER BY
GROUP BY
JOIN
HAVING
Aggregate functions
Subqueries
Transactions
Indexes
Constraints

Practical Project

Student Information Database

MODULE 14: POSTGRESQL

Topics include:

PostgreSQL installation
Database creation
Users
Roles
Permissions
Tables
Relationships
Indexes
Database backup
Database restoration
PostgreSQL administration

Practical Project

Complete School Database

MODULE 15: DJANGO FUNDAMENTALS

Students begin building professional Python web applications.

Topics include:

Django installation
Django projects
Django applications
Project structure
Settings
URL routing
Views
Templates
Static files
Media files

Practical Project

Django Business Website

MODULE 16: DJANGO MODELS & ORM

Topics include:

Django models
Model fields
Relationships
ForeignKey
One-to-One
Many-to-Many
QuerySets
CRUD operations
Database migrations
ORM queries

Practical Project

Employee Management System

MODULE 17: DJANGO FORMS

Topics include:

Django forms
ModelForms
Form validation
Custom validation
File uploads
Image uploads
Secure form handling

Practical Project

Online Registration System

MODULE 18: DJANGO AUTHENTICATION & AUTHORIZATION

Topics include:

User registration
Login
Logout
Password management
Password reset
User profiles
Groups
Permissions
Roles
Administrative users

Practical Project

Student Portal

MODULE 19: ADVANCED DJANGO DEVELOPMENT

Topics include:

Class-based views
Middleware
Sessions
Cookies
Signals
Email
Pagination
Searching
Filtering
Sorting
Caching
Custom management commands

Major Project

Complete School Management System

PHASE 6 — REST API DEVELOPMENT

MODULE 20: API DEVELOPMENT FUNDAMENTALS

Topics include:

What is an API?
REST architecture
HTTP methods
GET
POST
PUT
PATCH
DELETE
HTTP status codes
JSON
API endpoints
Headers
Request/response lifecycle

MODULE 21: DJANGO REST FRAMEWORK

Students build professional REST APIs.

Topics include:

Serializers
API views
ViewSets
Routers
CRUD APIs
API validation
Authentication
Permissions
Pagination
Filtering
Searching
API documentation

Practical Project

School Management REST API

MODULE 22: FASTAPI

Students are introduced to modern high-performance Python API development.

Topics include:

FastAPI architecture
Routes
Path parameters
Query parameters
Request bodies
Pydantic
Data validation
Dependency injection
Authentication
Async programming
OpenAPI
Swagger documentation
API testing

Practical Project

High-Performance Python API

MODULE 23: REACT FUNDAMENTALS

Topics include:

React architecture
Components
JSX
Props
State
Events
Conditional rendering
Lists
Forms
Component structure

Practical Project

React Student Dashboard

MODULE 24: ADVANCED REACT

Topics include:

React Hooks
useState
useEffect
useContext
Custom Hooks
React Router
Forms
API integration
Authentication
Protected routes
Error handling
Loading states
Reusable components

MODULE 25: REACT + PYTHON INTEGRATION

Students combine all major components into a complete full-stack system.

Architecture

React Frontend
↓
REST API
↓
Django / FastAPI
↓
PostgreSQL

Topics include:

Connecting React to Python APIs
Fetch
Axios
JSON
CORS
Authentication
JWT
CRUD operations
User roles
Protected routes
File uploads

Major Project

Full-Stack School Management Application

MODULE 26: WEB APPLICATION SECURITY

Topics include:

Authentication
Authorization
Password security
JWT security
Session security
CORS
CSRF
XSS
SQL injection
Broken access control
Input validation
Secure API development
HTTPS
Security headers
Secrets management
OWASP Top 10

Practical Project

Secure an Existing Web Application

Students identify and fix common application vulnerabilities.

MODULE 27: SOFTWARE TESTING

Python Testing

Unit testing
Integration testing
pytest
unittest
Fixtures
Mocking

Backend Testing

Django testing
API testing
Authentication testing

Frontend Testing

Component testing
End-to-end testing

Practical Requirement

Students must implement automated tests for their major applications.

MODULE 28: GIT & GITHUB

Topics include:

Version control
Git repositories
Commits
Branches
Merging
Pull requests
Merge conflicts
Code reviews
GitHub Issues
GitHub Projects
Repository management
README documentation

Practical Requirement

Every student's projects must be maintained in GitHub repositories.

MODULE 29: LINUX FOR DEVELOPERS

Topics include:

Linux fundamentals
Linux filesystem
Terminal
Files and directories
Users
Groups
Permissions
Processes
Services
SSH
Package management
Environment variables
Bash fundamentals
Logs
Server administration

Practical Project

Configure a Linux Server for a Python Application

MODULE 30: DOCKER & CONTAINERIZATION

Topics include:

Containers
Images
Dockerfile
Docker commands
Docker Compose
Volumes
Networks
Environment variables
Containerized databases
Container security

Practical Project

Containerize:

React + Python + PostgreSQL + Redis

MODULE 31: CLOUD COMPUTING

Students learn the fundamentals of cloud application hosting.

Topics include:

Cloud computing
IaaS
PaaS
SaaS
Cloud regions
Availability zones
Compute
Storage
Databases
Networking
IAM
Cloud security

Cloud Platforms

Students receive practical exposure to:

AWS
Azure

MODULE 32: PRODUCTION DEPLOYMENT

Topics include:

Domain names
DNS
HTTPS
SSL certificates
Nginx
Gunicorn
Uvicorn
Production configuration
Environment variables
Database deployment
Static files
Media files
Backups
Logging
Monitoring

Practical Project

Deploy a Full-Stack Application to the Cloud

Students must successfully deploy an application that can be accessed through the Internet.

MODULE 33: ARTIFICIAL INTELLIGENCE FUNDAMENTALS

Topics include:

Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
AI APIs
Prompt engineering
AI application architecture
Structured AI responses
Function calling
Tool use

MODULE 34: BUILDING AI-POWERED APPLICATIONS

Students learn how to integrate AI into normal web applications.

Applications include:

AI chatbot
AI content generator
AI document analyzer
AI search
AI recommendation system
AI customer support assistant
AI school assistant

Practical Project

AI-Powered Web Application

MODULE 35: RETRIEVAL-AUGMENTED GENERATION

Topics include:

What is RAG?
Embeddings
Document processing
Text chunking
Vector search
Semantic search
Retrieval
Context
Vector databases
PostgreSQL + pgvector
RAG application architecture

Major Project

AI Knowledge Base

Students build an AI system that can process organizational documents and answer questions based on those documents.

MODULE 36: AGENTIC AI APPLICATION DEVELOPMENT

Topics include:

What is an AI agent?
AI agents vs chatbots
Tools
Function calling
Agent workflows
Memory
Planning
Multi-step tasks
Human-in-the-loop
Agent security
Agent evaluation

Practical Project

AI Business Assistant

Students build an AI agent capable of interacting with authorized tools and APIs to perform multi-step tasks.

MODULE 37: SOFTWARE ARCHITECTURE

Topics include:

MVC
MVT
Layered architecture
Service layer
Repository pattern
SOLID principles
Clean code
Design patterns
Modular applications
Monolithic architecture
Microservices introduction

MODULE 38: SYSTEM DESIGN

Students learn how to design applications before writing code.

Topics include:

Requirements gathering
Application architecture
Database architecture
API architecture
Scalability
Caching
Load balancing
Queues
Security
Reliability
Performance

Practical Exercise

Students design systems such as:

E-commerce platform
School management platform
Ride-hailing platform
Social media platform

MODULE 39: PROFESSIONAL DEVELOPMENT PRACTICES

Topics include:

Software development lifecycle
Agile development
Scrum
User stories
Requirements
Technical specifications
Code reviews
Documentation
Debugging
Collaboration
Project management
Version control workflows
Professional coding standards

FINAL PROJECT

MODULE 40: PRODUCTION FULL-STACK APPLICATION

The final stage of the program is an intensive, finishing-touch project.

Students select a real-world problem and develop a complete software product from concept to deployment.

Required Components

The final application should include:

User authentication
Authorization
Responsive frontend
Python backend
REST API
PostgreSQL database
CRUD functionality
Search and filtering
Security controls
Automated tests
GitHub repository
Docker containerization
Cloud deployment
Documentation

Advanced Capstone Option

Students may integrate:

AI assistant
LLM API
RAG
Vector database
AI-powered search
AI recommendations
AI agent