1. Introduction to Python
Why Python?
Installation & Environment Setup
Working with IDEs (PyCharm, VS Code, Jupyter Notebook)
Python Syntax, Variables, Data Types
Input/Output Operations
Type Conversion & Type Casting
2. Python Basics
Conditional Statements
Looping (for, while)
Functions & Lambda Functions
Modules & Packages
Exception Handling
File Handling (Text, CSV, JSON)
3. Data Structures in Python
Lists, Tuples, Sets, Dictionaries
List Comprehension
Iterators & Generators
String Manipulation
4. Object-Oriented Programming (OOP)
Classes & Objects
Constructors
Inheritance
Polymorphism
Encapsulation
Abstract Classes & Interfaces
5. Advanced Python
Decorators
Multithreading & Multiprocessing
Regular Expressions
Virtual Environments
Working with APIs
Python Packaging & Pip
6. SQL & Database Integration
Introduction to SQL
CRUD Operations
Connecting Python with MySQL / PostgreSQL
ORM Basics (SQLAlchemy)
7. Data Analysis & Visualization
NumPy – Arrays, Broadcasting
Pandas – DataFrames, Merging, Grouping, Cleaning
Matplotlib & Seaborn – Charts & Graphs
Exploratory Data Analysis (EDA)
8. Machine Learning with Python
Introduction to Machine Learning
Types of ML (Supervised, Unsupervised, Reinforcement)
Scikit-Learn Basics
Data Preprocessing
Feature Engineering
Regression Algorithms
Classification Algorithms
Clustering Algorithms
Model Evaluation & Hyperparameter Tuning
9. Deep Learning & AI
Introduction to Neural Networks
TensorFlow & Keras Basics
Building ANN Models
CNN – Computer Vision
RNN – Time Series & NLP Basics
Image Classification Projects
Chatbot Development Overview
10. AI Tools & Integrations
Using OpenAI / Gemini / HuggingFace APIs
Prompt Engineering Basics
Automation with AI
Integrating AI into Web or Mobile Apps
11. Real-Time Projects
Python Automation Projects
Data Analysis End-to-End Project
Machine Learning Deployment Project
AI Mini Projects (Chatbot, Image Classifier, Recommendation System)
12. Deployment & Version Control
Git & GitHub
Streamlit / Flask for Model Deployment
Docker Basics
Cloud Deployment Overview (AWS/GCP/Azure)
13. Interview Preparation & Placement Support
Resume Building for Python/AI Roles
Interview Questions: Python, SQL, ML, AI
Mock Interviews
Placement Assistance until you get a job
Why Choose Vagdevi Technologies (Ameerpet)?
Online & Offline Training Options
Dedicated Lab Access for hands-on practice
Experienced Industry Faculty
Real-Time Projects & Assignments
100% Placement Guarantee
Affordable Fees + Flexible Timings
Contact us:
VAGDEVI TECHNOLOGIES,
Call: 95 1590 1571,91 3375 7367
Website: www.vagdevitechnologies.com
Email: vagdevitechnologies@gmail.com
