Python Full Stack with AI Integration & DSA

Program Overview
This program is designed to prepare students for modern software
development and AI-driven roles. The curriculum focuses on five core
competencies: Problem Solving, Data Analytics, Web Development,
Artificial Intelligence, and Writing Fast & Efficient Code.
1. Problem Solving Skills
• Python: variables, data types, operators, loops, data structures
• Functions, recursion, modular programming
• Object-Oriented Programming concepts
• Exception handling and file handling
• Basic Data Structures: arrays, strings, stacks, queues, linked list
concepts
• Searching and sorting algorithms (basic level)
• Time and space complexity (intro level)
• Interview-oriented coding patterns
2. Data Analytics
• Database fundamentals: tables, keys, relationships
• SQL queries, joins, subqueries, aggregations
• Index basics and query optimization awareness
• NumPy for numerical operations
• Pandas for data cleaning and transformation
• Handling CSV and JSON data
• Data visualization using Matplotlib
• Exploratory Data Analysis (EDA) techniques
3. Web Development
Frontend Development
• HTML5, semantic structure, forms
• CSS3 and responsive design principles
• JavaScript fundamentals, DOM manipulation
• Asynchronous programming and API handling
• React: components, hooks, routing, API integration using axios
Backend Development (Django)
• Django architecture and project structure
• Models and ORM
• CRUD operations
• Authentication and authorization
• Django REST Framework for API development
• Frontend and backend integration flow
Version Control & Workflow
• Git fundamentals: init, commit, push, pull
• Branching basics
• GitHub project management workflow
4. Artificial Intelligence
• AI vs ML vs Deep Learning
• Linear algebra, probability, statistics basics
• Supervised learning: regression, decision trees, random forest
• Unsupervised learning: k-means clustering
• Model evaluation metrics
• Integrating ML models with Django APIs
• Displaying AI predictions in React applications
5. Writing Fast & Efficient Code
• Time and space optimization basics
• Choosing correct data structures
• Single-pass and optimized logic building
• List comprehensions and generators
• Efficient string and dictionary operations
• Clean, modular, maintainable code practices
Deployment Basics (Conceptual)
• How web applications go live
• Frontend and backend deployment concepts
• Environment variables
• Basic cloud awareness
Interview Preparation Module
• Python coding interview questions
• SQL interview preparation
• Problem-solving patterns
• Project explanation techniques
• Mock interview guidance
Capstone Projects
• Full stack web application
• Data analytics project
• Machine learning prediction system
• AI-integrated web application
Final Skill Outcomes
• Strong problem-solving ability
• Data analysis and visualization skills
• Full stack web development capability
• Machine learning model development
• AI-powered web application building
• Professional coding and workflow practices