Module 1: Introduction to Python & AI

• Introduction to Python programming
• Features and applications of Python
• Python installation and setup
• IDEs and code editors
• Introduction to Artificial Intelligence
• Role of Python in AI
• AI, Machine Learning and Deep Learning overview
• Setting up an AI development environment

Module 2: Python Fundamentals

• Variables and constants
• Data types
• Type conversion
• Input and output
• Comments
• Operators
• Basic Python programs

Module 3: Conditional Statements

• if, elif, else
• Nested conditions
• Logical and comparison operators
• Practical decision-making programs

Module 4: Loops & Iterations

• for loop
• while loop
• Nested loops
• break, continue, pass
• Pattern and number programs

Module 5: Python Data Structures

• Strings
• Lists
• Tuples
• Sets
• Dictionaries
• List and dictionary methods
• List/dictionary comprehension

Module 6: Functions & Modules

• Creating functions
• Parameters and arguments
• Return values
• Lambda functions
• Scope of variables
• Modules and packages
• Installing Python packages using pip

Module 7: File Handling & Exception Handling

• Reading and writing files
• CSV and JSON files
• Exception handling
• try, except, else, finally
• Creating custom exceptions

Module 8: Object-Oriented Programming

• Classes and objects
• Constructors
• Attributes and methods
• Inheritance
• Polymorphism
• Encapsulation
• Abstraction

Module 9: NumPy for AI

• Introduction to NumPy
• Arrays and dimensions
• Array operations
• Indexing and slicing
• Mathematical operations
• Statistical functions
• Working with multidimensional data

Module 10: Pandas for Data Processing

• Introduction to Pandas
• Series and DataFrame
• Importing datasets
• Data selection and filtering
• Handling missing data
• Sorting and grouping
• Data cleaning
• Reading CSV/Excel datasets

Module 11: Data Visualization

• Introduction to data visualization
• Matplotlib
• Line charts
• Bar charts
• Pie charts
• Histograms
• Scatter plots
• Introduction to Seaborn
• Visualizing AI/ML datasets

Module 12: AI & Machine Learning Fundamentals

• What is Machine Learning?
• Types of Machine Learning
• Supervised Learning
• Unsupervised Learning
• Training and testing datasets
• Features and labels
• Model training
• Model prediction
• Model evaluation

Module 13: Machine Learning with Python

• Introduction to Scikit-learn
• Linear Regression
• Multiple Regression
• Logistic Regression
• Decision Trees
• Random Forest
• K-Nearest Neighbors
• Clustering
• Model evaluation

Module 14: Generative AI with Python

• Introduction to Generative AI
• Large Language Models (LLMs)
• AI text generation
• Working with AI APIs
• Sending prompts through Python
• Receiving AI-generated responses
• Building AI-powered Python applications

Module 15: Prompt Engineering

• Introduction to Prompt Engineering
• Writing effective prompts
• Role-based prompting
• Context-based prompting
• Few-shot prompting
• Structured output
• Prompt optimization
• AI-assisted coding

Module 16: Python with ChatGPT & AI Tools

• Using ChatGPT for programming
• Generating Python code with AI
• Debugging code using AI
• Code explanation and optimization
• Generating documentation
• Creating prompts for development tasks
• AI-assisted project development

Module 17: AI Chatbot Development

• Chatbot fundamentals
• Designing conversation flow
• Python-based chatbot
• Connecting chatbot with AI models
• User input and AI response handling
• Basic chatbot interface
• Building an AI-powered chatbot

Module 18: AI Image & Text Applications

• Text generation applications
• Text summarization
• Text classification
• Sentiment analysis
• Image generation concepts
• Image analysis concepts
• AI-powered content applications

Module 19: Python Automation with AI

• Automating repetitive tasks
• File and folder automation
• Excel automation
• Data processing automation
• Email automation concepts
• Web automation basics
• AI-assisted automation workflows

Module 20: Advanced AI Projects

Students will work on practical projects such as:

• 🤖 AI Chatbot using Python
• 📊 AI-based Data Analysis System
• 📝 AI Text Summarizer
• 😊 Sentiment Analysis Application
• 📄 AI Resume Analyzer
• 🔍 AI-based Document Search
• 💬 AI Question-Answering System
• 📧 AI Email Generator
• 📚 AI Study Assistant
• 🧠 Machine Learning Prediction System