📘 Course Details

🚀 Python + AI/ML Complete Full-Stack Mastery Program (12 Months)

Program Duration: 12 Months (Industry-Oriented | Job-Focused)

📘 Month 1: Programming Fundamentals & Python Basics

• Introduction to Programming Concepts

• Python Installation & Environment Setup

• Variables, Data Types, Operators

• Conditional Statements & Loops

• Functions & Modules

• Basic Problem Solving

📘 Month 2: Core Python & Object-Oriented Programming

• Lists, Tuples, Sets, Dictionaries

• String Handling & File I/O

• Exception Handling

• Object-Oriented Programming (OOP)

  • Classes & Objects

  • Inheritance, Polymorphism, Encapsulation

• Mini Project

📘 Month 3: Advanced Python & Libraries

• Advanced Functions & Decorators

• Regular Expressions

• Multithreading & Multiprocessing

• Working with Virtual Environments

• Python Libraries (NumPy, Pandas – Basics)

📘 Month 4: Database & Backend Development

• Database Fundamentals

• SQL (MySQL / PostgreSQL)

  • CRUD Operations

  • Joins, Indexing, Optimization

• NoSQL Basics (MongoDB)

• Python Database Connectivity

📘 Month 5: Web Development with Python

• HTML5, CSS3, Bootstrap

• JavaScript Basics

• Python Web Framework (Django / Flask)

• MVC / MVT Architecture

• Authentication & Authorization

• CRUD Web Applications

📘 Month 6: Full-Stack Development & APIs

• RESTful API Development

• API Authentication (JWT, Token)

• Frontend–Backend Integration

• AJAX & JSON

• Deployment Basics (Server, Hosting)

• Full-Stack Mini Project

📘 Month 7: Data Analysis & Visualization

• NumPy (Advanced)

• Pandas for Data Analysis

• Data Cleaning & Preprocessing

• Data Visualization (Matplotlib, Seaborn)

• Exploratory Data Analysis (EDA)

📘 Month 8: Machine Learning Fundamentals

• Introduction to AI & Machine Learning

• Types of Machine Learning

• Supervised & Unsupervised Learning

• Linear & Logistic Regression

• Decision Trees & Random Forest

• Model Evaluation & Optimization

📘 Month 9: Advanced Machine Learning

• Support Vector Machines (SVM)

• KNN & Naive Bayes

• Feature Engineering

• Hyperparameter Tuning

• Real-Time ML Project

📘 Month 10: Deep Learning & Neural Networks

• Introduction to Deep Learning

• Neural Network Fundamentals

• TensorFlow & Keras

• Artificial Neural Networks (ANN)

• Convolutional Neural Networks (CNN)

• Image Classification Project

📘 Month 11: NLP, AI Tools & Deployment

• Natural Language Processing (NLP)

• Text Processing & Sentiment Analysis

• Chatbots & AI Tools Integration

• Model Deployment (Flask/Django)

• Cloud Basics (AWS / Azure Overview)

📘 Month 12: Industry Projects & Career Support

• Capstone Full-Stack AI Project

• Real-Time Industry Case Studies

• Git & GitHub

• Resume & Portfolio Building

• Interview Preparation (Python, AI/ML)

• Placement Assistance / Internship Support

🎁 Benefits
🎓 Industrial Training Certificate + 🏆 Internship Letter
💼 Two Projects + Two Live Projects
📄 Resume + LinkedIn Support
🎯 Mock Interview Practice
🤝 Free Career Counseling
🏆 Placement + Internship Assistance
🧠 Personality Development & Communication Skills
🔧 Git & GitHub Training + Machine Round Coding Prep