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Machine Learning & AI Internship - 1 Month Online Training Program

Join 1 Month Machine Learning & AI Online Internship at NextVision Infotech. Master Python, NumPy, Pandas, Supervised Learning, Unsupervised Learning, Model Evaluation. ₹599 only with certificate.

30 Days
Online • Anywhere in India
INT-AIDS-MLAI-30D-ONL
Machine Learning & AI Internship - 1 Month Online Training Program Banner

Program Description

NextVision Infotech presents a comprehensive Machine Learning & AI Internship - 1 Month Online Training Program. Machine Learning (ML) aur Artificial Intelligence (AI) ka matlab hai computers ko aisa banana ki wo data se seekh sake aur decisions le sake bina explicit programming ke. Ye program students ko Python, data preprocessing, supervised learning, unsupervised learning, model evaluation, deep learning basics aur deployment ki practical training deta hai. The program covers the complete ML/AI lifecycle from Python fundamentals to data preprocessing, exploratory data analysis, supervised learning algorithms, unsupervised learning, model evaluation, and a full project. Over four weeks, the program progresses from fundamentals to practical ML/AI. Week 1 covers Python for ML, NumPy, Pandas, and data visualization. Week 2 covers data preprocessing, feature engineering, and supervised learning. Week 3 focuses on unsupervised learning, model evaluation, and hyperparameter tuning. Week 4 covers deep learning basics, live projects, and certification. The program follows industry-standard workflows used by professional ML engineers across India. Students work on real-world datasets, build ML models, evaluate performance, and complete documentation. 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 machine learning, data science, and AI engineering. This program is delivered 100% online, allowing students from any state or city across India to enroll and benefit. Live sessions, recorded lectures, virtual labs, and datasets are provided. 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 ML, data preprocessing, supervised and unsupervised learning, model evaluation, and building ML models.

Skills You'll Learn

AI
Machine Learning
Python
NumPy
Pandas
Matplotlib
Seaborn
Data Preprocessing
Feature Engineering
Linear Regression
Logistic Regression
Decision Trees
Random Forest
SVM
KNN
K-Means
PCA
Model Evaluation
Cross-Validation
GridSearchCV
scikit-learn
TensorFlow
Keras
PyTorch

Projects You'll Work On

Complete Machine Learning & AI Project (1 Month Online)

Students will complete an ML/AI project including data preprocessing, exploratory data analysis, model building (supervised and unsupervised), model evaluation, hyperparameter tuning, deep learning basics, and complete project documentation.

Program Modules

1

W1: Week 1: Python for ML, NumPy, Pandas & Data Visualization

Introduction to AI and Machine Learning, AI vs ML vs DL, types of ML - supervised, unsupervised, reinforcement learning, Python fundamentals for ML, Python syntax, data types, control flow, functions, lists, dictionaries, NumPy fundamentals, NumPy arrays, indexing, slicing, reshaping, broadcasting, mathematical operations, Pandas fundamentals, Series, DataFrame, data loading - CSV, Excel, JSON, data inspection, data selection, filtering, sorting, grouping, aggregation, merging, joining, data visualization - Matplotlib, line plots, bar plots, histograms, scatter plots, box plots, heatmaps, Seaborn, statistical data visualization.

2

W2: Week 2: Data Preprocessing, Feature Engineering & Supervised Learning

Data cleaning, handling missing values, imputation techniques, outlier detection, feature scaling - normalization, standardization, encoding categorical variables - label encoding, one-hot encoding, feature engineering, feature selection, train-test split, cross-validation, supervised learning fundamentals, regression - linear regression, multiple regression, polynomial regression, regularization - Ridge, Lasso, classification - logistic regression, K-Nearest Neighbors (KNN), decision trees, random forests, support vector machines (SVM), Naive Bayes, confusion matrix, precision, recall, F1-score, ROC-AUC, scikit-learn, Jupyter Notebook, Google Colab.

3

W3: Week 3: Unsupervised Learning, Model Evaluation & Hyperparameter Tuning

Unsupervised learning fundamentals, clustering - K-Means, hierarchical clustering, DBSCAN, dimensionality reduction - PCA (Principal Component Analysis), t-SNE, association rules - Apriori, model evaluation techniques, regression metrics - MSE, RMSE, MAE, R-squared, classification metrics - accuracy, precision, recall, F1-score, ROC curve, AUC, cross-validation techniques - K-Fold, Stratified K-Fold, Leave-One-Out, hyperparameter tuning - GridSearchCV, RandomizedSearchCV, bias-variance tradeoff, overfitting and underfitting, regularization techniques.

4

W4: Week 4: Deep Learning Basics, Live Projects & Certification

Introduction to deep learning, neural networks basics, perceptron, multilayer perceptron, activation functions - ReLU, sigmoid, tanh, loss functions, backpropagation, gradient descent, optimization algorithms - SGD, Adam, TensorFlow, Keras, PyTorch basics, live projects - house price prediction, customer churn prediction, iris flower classification, sales forecasting, complete documentation, resume building, interview preparation, viva-voce examination, certificate distribution.

Key Features

30 Days Comprehensive Training
100% Online Mode
Live Sessions & Recorded Lectures
Python for Machine Learning
NumPy & Pandas
Data Preprocessing
Supervised Learning
Unsupervised Learning
Model Evaluation
Hyperparameter Tuning
Deep Learning Basics
Live ML Projects
Professional Documentation
ISO 9001:2015 Certified Institute
Offer Letter Provided
Internship Certificate Included
Industrial Training Certificate
Viva-Voce Preparation
Pan-India Enrollment

What You'll Learn

Master Python for Machine Learning
Work with NumPy and Pandas
Perform data preprocessing and EDA
Build supervised learning models
Apply unsupervised learning techniques
Evaluate and tune ML models
Understand deep learning basics
Build a professional ML portfolio
Prepare for AI/ML 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
Machine Learning & AI Internship - 1 Month Online Training Program

Internship Details

Duration 30 Days
Location Online • Anywhere in India
Available Seats 200
Course Code INT-AIDS-MLAI-30D-ONL
Apply Now — ₹499

Prerequisites

  • Pursuing or completed B.Tech/B.E./BCA/MCA/B.Sc./B.Com/MBA in any discipline
  • Basic knowledge of Python programming
  • Basic knowledge of mathematics and statistics
  • Interest in AI and Machine Learning
  • Laptop/PC with internet connection

Who Can Enroll ?

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

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