AI & ML Training in Puducherry. | Hands-On Courses & Projects

ai/ml TRAINING IN CHENNAI & aWS CERTIFICATION TRAINING

Machine Learning Engineer Training, AI Developer Training, Industry-Ready AI & ML Professional Training

INTRO TO Ai and ml

Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries across the globe, making intelligent systems capable of learning, reasoning, and decision-making from data. AI & ML technologies are widely used in real-world applications such as healthcare, finance, e-commerce, autonomous systems, recommendation engines, and natural language processing. Today, organizations of all sizes—including startups, enterprises, and government sectors—are adopting AI & ML solutions to improve efficiency, accuracy, and innovation. Learn AI & Machine Learning from the best AI & ML Training Institute in Puducherry with real-time, project-based training designed to meet industry standards.

AI & Machine Learning combine data science, statistics, programming, and advanced algorithms to build intelligent applications. The AI & ML ecosystem includes supervised learning, unsupervised learning, deep learning, neural networks, natural language processing, and computer vision. These technologies enable systems to analyze large datasets, identify patterns, and make data-driven decisions. With hands-on training using Python, industry-recognized libraries, and real-world projects, learners gain practical experience in building, training, and deploying AI & ML models used across modern industries.

Using Artificial Intelligence and Machine Learning, enterprises can transform operations by harnessing big data, intelligent algorithms, predictive insights, and automation to achieve scalable and sustainable growth.

AI & Machine Learning Course – 30 Sessions Curriculum

Session 1: Introduction to AI & Machine Learning

What is Artificial Intelligence?
Types of AI (Narrow, General, Super AI)
Introduction to Machine Learning
Real-world AI & ML use cases
Career paths in AI & ML

Session 2: Python Basics for AI

Python installation & setup
Variables & data types
Operators
Conditional statements
Loops

Session 3: Python Functions & Data Structures

Functions & modules
Lists, Tuples
Dictionaries & Sets
Practical coding exercises

Session 4: NumPy for Numerical Computing

NumPy arrays
Array operations
Indexing & slicing
Mathematical functions
Hands-on practice

Session 5: Pandas for Data Analysis

ASeries & DataFrames
Data importing (CSV, Excel)
Data selection & filtering
Data cleaning basics

Session 6: Data Preprocessing Techniques

Handling missing values
Handling duplicates
Encoding categorical data
Feature scaling
Practical preprocessing task

Session 7: Data Visualization

Introduction to Matplotlib
Seaborn basics
Line, bar, scatter plots
Visualizing datasets

Session 8: Statistics for Machine Learning

Mean, median, mode
Variance & standard deviation
Probability basics
Correlation & covariance

Session 9: Mathematics for ML

Linear algebra basics
Vectors & matrices
Dot product
Importance of math in ML models

Session 10: Introduction to Machine Learning

ML workflow
Types of ML
Supervised
Unsupervised
Reinforcement Learning
Model training overview

Session 11: Supervised Learning – Regression

Linear regression
Multiple linear regression
Model evaluation
Practical regression project

Session 12: Supervised Learning – Classification

Logistic regression
K-Nearest Neighbors (KNN)
Decision Trees
Hands-on classification model

Session 13: Advanced Classification Algorithms

Support Vector Machines (SVM)
Naive Bayes
Performance metrics
Confusion matrix

Session 14: Unsupervised Learning

Clustering concepts
K-Means clustering
Hierarchical clustering
Practical clustering project

Session 15: Feature Engineering & Selection

Feature importance
Removing irrelevant features
Dimensionality reduction
Practical implementation

Session 16: Model Evaluation & Optimization

Train-test split
Cross-validation
Overfitting & underfitting
Hyperparameter tuning

Session 17: Introduction to Deep Learning

What is Deep Learning?
Neural networks basics
Activation functions
Loss functions

Session 18: Artificial Neural Networks (ANN)

Building ANN using TensorFlow/Keras
Training neural networks
Evaluation techniques
ANN project

Session 19: Convolutional Neural Networks (CNN)

Image data basics
CNN architecture
Image classification
Practical CNN implementation

Session 20: Recurrent Neural Networks (RNN)

Sequential data
RNN basics
LSTM & GRU overview
Time-series example

Session 21: Natural Language Processing (NLP)

Text preprocessing
Tokenization
Stop words
Stemming & Lemmatization

Session 22: NLP Applications

Sentiment analysis
Text classification
Chatbot basics
Practical NLP project

Session 23: Computer Vision Applications

Image preprocessing
Feature extraction
Object detection basics
Practical CV use case

Session 24: Model Deployment Basics

Saving ML models
Introduction to Flask
Creating ML APIs
Deploying simple ML models

Session 25: Real-Time Project – Phase 1

Problem statement selection
Dataset understanding
Data preprocessing
Feature engineering

Session 26: Real-Time Project – Phase 2

Model building
Training & testing
Performance improvement
Model optimization

Session 27: Real-Time Project – Phase 3

Model deployment
API integration
End-to-end pipeline
Project documentation

Session 28: Industry Use Cases

AI in healthcare
AI in finance
AI in e-commerce
Case study discussions

Session 29: Interview Preparation

AI & ML interview questions
Coding test preparation
Resume building
Mock interviews

Session 30: Final Review & Certification

Course recap
Doubt clarification
Project presentation
Certification guidance
Placement assistance discussion

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Ai/ml FAQ

What is Artificial Intelligence (AI) and Machine Learning (ML)?

Artificial Intelligence is the simulation of human intelligence in machines that can think, learn, and make decisions. Machine Learning is a subset of AI that enables systems to automatically learn and improve from data without being explicitly programmed.

Who can enroll in the AI & ML training course?

This course is suitable for students, fresh graduates, working professionals, software developers, data analysts, and anyone interested in building a career in AI and Machine Learning. Basic knowledge of programming and mathematics is helpful but not mandatory.

What are the prerequisites for learning AI & ML?

Basic understanding of Python programming, statistics, and mathematics (linear algebra & probability) is recommended. However, our training starts from fundamentals, making it beginner-friendly.

What topics are covered in the AI & ML course?

The course covers Python for AI, data preprocessing, statistics, Machine Learning algorithms, Deep Learning, Neural Networks, NLP, Computer Vision, real-time projects, and deployment techniques.

Is this AI & ML course practical or theoretical?

This is a 100% practical, project-based training. Students work on real-world datasets, live use cases, hands-on labs, and industry-relevant projects.

Will I get real-time project experience?

Yes. You will work on multiple real-time projects such as predictive analytics, recommendation systems, image classification, chatbots, and sentiment analysis.

What tools and technologies are used in this course?

You will learn Python, NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch, Jupyter Notebook, OpenCV, NLP libraries, and deployment tools.

Do you provide placement assistance?

Yes, we provide 100% placement assistance, including resume preparation, interview training, mock interviews, and job referrals.

Will I get a certification after course completion?

Yes, you will receive an industry-recognized AI & ML course completion certificate, which adds value to your resume.

Is online and classroom training available?

Yes, we offer both online and classroom training with flexible batch timings.

About Us

Industry-oriented AI & Machine Learning training with continuous access to a dedicated student portal, including study resources, recorded sessions, real-time datasets, and top MNC interview questions. End-to-end guidance for certification preparation, subject mastery, and pre & post training support. Learn from 8+ years of experienced AI & ML professionals with extensive hands-on exposure. Get interview-ready through practical AI & ML projects and case studies. Recognized as one of the leading AI & ML training institutes in Chennai and Puducherry, offering an affordable fee structure with an industry-aligned curriculum. Enroll now for the upcoming AI & ML batch starting this week.