🎓 Internship AI & Data Science

AI & Machine Learning - 15 Days Internship Training Program

Join 15 Days AI & Machine Learning Internship Training Program at NextVision Infotech. Learn Python, NumPy, Pandas, Scikit-learn, ML algorithms, model deployment. ₹199 only with certificate.

15 Days
Anywhere in India • Patna • (Offline & Online)
INT-AIDS-ML-15D
AI & Machine Learning - 15 Days Internship Training Program Banner

Program Description

NextVision Infotech presents a comprehensive AI & Machine Learning Internship Training Program spanning 15 days. This intensive program is designed for students across all disciplines - B.Tech, B.E., BCA, MCA, B.Sc., Diploma, and other technical streams - who want to build a strong foundation in Artificial Intelligence and Machine Learning. The program covers the complete AI/ML lifecycle from Python basics to building and deploying machine learning models. Students will learn Python programming, NumPy, Pandas, data preprocessing, data visualization, supervised learning, unsupervised learning, model evaluation, and a mini project. Over two weeks, the program progresses from fundamentals to practical machine learning. Week 1 introduces Python for data science and data preprocessing. Week 2 covers machine learning algorithms, model evaluation, and a live mini project. The program follows industry-standard workflows used by professional data scientists and AI engineers across India. Students work on real-world datasets, build ML models, evaluate performance, and complete a mini project. The curriculum draws inspiration from premier technical institutions across India and follows professional AI/ML standards used in the tech industry. Students gain practical skills that prepare them for careers in data science, machine learning, and AI. This program is delivered both online and offline, allowing students from any state or city across India to enroll and benefit. The institute is ISO 9001:2015 certified, and the internship certificate is accepted by universities, colleges, and companies throughout the country. Upon successful completion, students receive an Internship Certificate, Industrial Training Certificate, Project Completion Certificate, and an Offer Letter. Learning outcomes include mastering Python for data science, building ML models, evaluating model performance, and creating a professional portfolio.

Skills You'll Learn

Python
NumPy
Pandas
Matplotlib
Seaborn
Scikit-learn
Machine Learning
Supervised Learning
Unsupervised Learning
Feature Engineering
Model Evaluation
Hyperparameter Tuning
Jupyter Notebook
Google Colab
Git & GitHub

Projects You'll Work On

Complete AI & Machine Learning Mini Project

Students will complete a mini ML project including data collection, preprocessing, exploratory data analysis, feature engineering, model building, hyperparameter tuning, model evaluation, and complete project documentation as per industry standards.

Program Modules

1

W1: Week 1: Python for Data Science and Data Preprocessing

Introduction to AI and Machine Learning, AI vs ML vs DL, types of machine learning - supervised, unsupervised, reinforcement learning, applications of AI/ML, Python for data science, Python data types, control flow, functions, NumPy fundamentals, NumPy arrays, indexing, slicing, reshaping, broadcasting, mathematical operations, statistical operations, Pandas fundamentals, Series, DataFrame, data loading (CSV, Excel, JSON), data inspection, data selection, filtering, sorting, grouping, aggregation, merging, joining, data cleaning, handling missing values, outlier detection, feature scaling (normalization, standardization), encoding categorical variables (label encoding, one-hot encoding), Matplotlib fundamentals, line plots, bar plots, histograms, scatter plots, Seaborn, data visualization best practices, Jupyter Notebook, Google Colab.

2

W2: Week 2: Machine Learning Algorithms, Model Evaluation, and Live Mini Project

Supervised learning fundamentals, regression - linear regression, polynomial regression, ridge regression, lasso regression, logistic regression, classification - k-nearest neighbors (KNN), decision trees, random forests, support vector machines (SVM), naive Bayes, model evaluation metrics - regression metrics (MSE, RMSE, MAE, R²), classification metrics (accuracy, precision, recall, F1-score, ROC-AUC, confusion matrix), cross-validation, k-fold cross-validation, hyperparameter tuning - grid search, random search, unsupervised learning - k-means clustering, hierarchical clustering, PCA, model saving and loading (pickle, joblib), introduction to model deployment - Flask API, Streamlit, live mini project - house price prediction, customer churn prediction, iris classification, complete documentation, viva-voce examination, certificate distribution.

Key Features

15 Days Comprehensive Training
Industry-Standard Curriculum
Live ML Mini Project
Professional Portfolio Development
ISO 9001:2015 Certified Institute
Offer Letter Provided
Internship Certificate Included
Industrial Training Certificate
Project Report Guidance
Viva-Voce Preparation
Online & Offline Mode
Pan-India Enrollment

What You'll Learn

Master Python for data science
Work with NumPy and Pandas
Perform data visualization and EDA
Preprocess and engineer features
Build supervised learning models
Build unsupervised learning models
Evaluate and tune ML models
Build a professional ML portfolio
Prepare for data science jobs across India

Examination Details

Exam Name Full Marks Pass Marks
Module-wise Assessment 100 40
Project Evaluation 100 50
Final Presentation 50 25
Viva-Voce 50 25
AI & Machine Learning - 15 Days Internship Training Program

Internship Details

Duration 15 Days
Location Anywhere in India • Patna • (Offline & Online)
Available Seats 100
Course Code INT-AIDS-ML-15D
Apply Now — ₹199

Prerequisites

  • Pursuing or completed B.Tech/B.E./BCA/MCA/B.Sc. in Computer Science, IT, or related field
  • Basic knowledge of programming concepts
  • Basic mathematics and statistics knowledge
  • Interest in AI and machine learning

Who Can Enroll ?

  • B.Tech Computer Science students (1st to 8th semester)
  • B.E. IT students
  • BCA students (1st to 6th semester)
  • MCA students
  • B.Sc. Computer Science students
  • Data science aspirants
  • Working professionals wanting to upskill
  • Students from all over India seeking practical training

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