PYTHON

Course Duration: 2 – 4 Months (Flexible) | Mode: Offline/Online

Goals:

Understand the concepts of Generative AI, Foundation Models, Transformers, and Agentic AI architectures.
Study how large language models (LLMs) work internally, including attention, embeddings, and tokenization.
Learn agent architectures, multi-agent systems, tool-use, planning, and autonomous workflows.
Use and fine-tune LLMs (LLaMA, GPT, Mistral).
Build AI agents capable of reasoning, planning, tool-use, memory, and environment interaction.
Create generative AI applications for text, images, audio, video, and multimodal tasks.
Integrate LLMs with databases, APIs, RPA, and external tools.

MODULE 1 — INTRODUCTION TO PYTHON (Week 1)

What is Python? Features & applications
Installing Python & IDEs (PyCharm, VS Code, Jupyter Notebook)
First Python program
Input/Output
Comments, indentation, structure

MODULE 2 — VARIABLES, DATATYPES & OPERATORS (Week 2)

Numbers, strings, booleans
Type casting
Arithmetic, relational, logical, assignment operators
String slicing & operations

MODULE 3 — PYTHON COLLECTIONS (Week 3)

Lists (CRUD operations)
Tuples
Sets
Dictionaries
List comprehensions

MODULE 4 — CONTROL FLOW (Week 4)

if, elif, else
Nested conditions
Loops (for, while)
Break, continue, pass
Range()

MODULE 5 — FUNCTIONS & LAMBDA (Week 5)

Defining and calling functions
Arguments & return values
Scope: local vs global
Lambda functions
Recursion basics

MODULE 6 — MODULES, PACKAGES & FILE HANDLING (Week 6)

Importing modules
Creating modules
Reading & writing files (txt, csv, json)
Exception handling
Try-except-finally

MODULE 7 — OBJECT ORIENTED PROGRAMMING (Week 7)

Class & objects
Constructor (init)
Inheritance, multiple inheritance
Polymorphism
Encapsulation
Abstraction

MODULE 8 — PYTHON LIBRARIES FOR REAL-WORLD USE (Week 8)

Data Science (Basics)

NumPy basics
Pandas (DataFrames, operations)
Matplotlib (plots, charts)

Other Libraries

DateTime
OS & Sys
Random
Requests (API calls)

MODULE 9 — WEB SCRAPING & AUTOMATION (Week 9)

Web scraping with BeautifulSoup
API integration with requests
Automation scripts
Sending emails using Python
Scheduling tasks

MODULE 10 — GUI PROGRAMMING / APPLICATION DEVELOPMENT (Week 10)

Tkinter basics
Windows, buttons, entries
Event-driven programming
Simple GUI applications

MODULE 11 — INTRODUCTION TO DATABASES (Week 11)

SQL basics
SQLite with Python
CRUD operations
Connecting GUI/Python app with database