Training Type

Select faculty

Select Date

Dur:
Course fee : /-

Download Curriculum

Internship Program on Python

Course Overview

The Internship on Python with AI Virtual Lab is a structured, hands-on program designed for aspiring programmers, data analysts, and AI enthusiasts. This 45-day internship focuses on Python, NumPy, and Pandas, providing real-world project experience using an advanced AI Virtual Lab. Participants will gain expertise through practical sessions, module-wise assessments, and dedicated mentor support while working on live challenges and capstone projects.

Description

This internship offers comprehensive Python training with hands-on exposure to data manipulation, analysis, and automation using NumPy and Pandas. The AI Virtual Lab enables interactive coding, performance tracking, and real-time collaboration, ensuring an industry-aligned learning experience.

The course includes daily practical sessions, real-world case studies, and a capstone project, helping participants build confidence in Python programming. Learners will acquire problem-solving skills, logical thinking abilities, and experience in handling structured and unstructured data.

Course Objectives

By the end of this internship, participants will be able to:

Master Python programming fundamentals
Work with NumPy and Pandas for data analysis
Implement real-world data processing solutions
Utilize AI Virtual Lab for coding, debugging, and performance tracking
Develop automation scripts for data manipulation and processing
Gain expertise in module-wise assessments and project-based learning
Complete a capstone project for hands-on experience
Earn an Internship Certificate for career enhancement

Prerequisites

To enroll in this internship, participants should have:
- Basic understanding of Python programming
- Familiarity with NumPy and Pandas (recommended but not mandatory)
- Interest in Data Analysis and Automation

Enroll Now

Course Curriculum

Installation
IDE Setup
Basics of Python
PoC: Hello World Program

Strings
Lists
Tuples
Dictionaries
PoC: Simple Calculator

If-Else
Loops
PoC: Prime Number Checker

Defining Functions
Lambda Expressions
Built-in Modules
PoC: Factorial Calculator

Reading Files
Writing Files
PoC: Read CSV File

Classes & Objects
Inheritance
Polymorphism
PoC: Bank Account Simulation

Try-Except Block
Custom Exceptions
PoC: Divide by Zero Handling

Lists
Stacks
Queues
Linked Lists
PoC: Stack Implementation

Arrays
Operations
Indexing
PoC: Matrix Multiplication

DataFrames
Reading/Writing Files
PoC: Data Cleaning

Visualization
Graphs
Charts
PoC: Sales Data Visualization

CRUD Operations
Joins
PoC: Employee Database

Supervised & Unsupervised Learning
PoC: Linear Regression
Mini Project: Spam Email Detector

BeautifulSoup
Requests
PoC: Scraping Weather Data

Data Cleaning | Data wrangling
PoC: Eda Project

Real-World Use Case
Mini Project: E-commerce Analysis

Full-Fledged AI/ML/Web Project
Final Project: AI Chatbot Using Python

APPLY NOW !

Who can learn this course

This internship is ideal for:

Students & Graduates aspiring to learn Python for Data Science and Software Development
Software Engineers & Developers looking to strengthen their Python skills
Data Analysts & Business Professionals working with data-driven insights
AI & Machine Learning Enthusiasts seeking hands-on experience with Python libraries
Job Seekers & Career Changers aiming to build expertise in Python programming
Researchers & Academicians interested in automating workflows and data handling