Advanced Data Science & AI Training
in Chennai
Linkplux offers expert-led Data Science and AI training covers Python, Data Analytics, Machine Learning, Deep Learning, Generative AI, SQL, and Data Visualization. Our Data Science and AI course focuses on hands-on learning, real-time projects and industry-relevant skills to help beginners and professionals build job-ready expertise for today's evolving technology landscape.
Hands-On Data Science Projects
Python, ML & AI Training
Career & Placement Support
Portfolio Development
Industry Expert Mentorship
AI & Data Science Certification
Course Highlights
Hands-On Data Science Training in Chennai
Develop practical expertise through real-world datasets, guided exercises, industry case studies, and project-based Data Science Training in Chennai covering the data science workflow.
AI & Machine Learning Training
Learn machine learning algorithms, artificial intelligence concepts, predictive analytics, deep learning, and modern AI techniques used to build intelligent and data-driven solutions.
Industry-Ready Data Science Certification
Strengthen your professional profile with a Data Science and AI course certification that validates your practical knowledge of Python, machine learning, data analytics, and data-driven problem solving.
Career & Placement Support
Prepare for Data Scientist, Data Analyst, Machine Learning Engineer, and AI Engineer careers with resume assistance, interview preparation, mock interviews, and career-focused placement support.
Real-Time Data Science & AI Projects
Apply Python, SQL, statistics, data visualization, machine learning, and predictive analytics to practical projects using real-world datasets and industry-focused AI and Data Science use cases.
Expert-Led Data Science Learning
Learn from experienced trainers through structured sessions covering Python for Data Science, statistics, data analytics, ML, deep learning, and advanced artificial Intelligence techniques.
Data Science Portfolio Development
Create a strong Data Science portfolio with Python projects, analytics reports, ML models, AI applications, dashboards, and capstone projects that showcase your technical skills.
Data Science & AI Interview Preparation
Improve your technical interview skills with Python coding practice, AI questions, mock interviews, problem-solving sessions, and career guidance for Data Science and AI roles.
How You'll Learn
Data Science & AI Training Course Syllabus in Chennai
Paper 1: Python Programming for Data Science & Artificial Intelligence
- Unit 1: Python Basics, Syntax, Variables, Data Types, Operators and Expressions
- Unit 2: Conditional Statements, Loops, Functions, Modules and OOPs
- Unit 3: Lists, Tuples, Sets, Dictionaries and Essential Python Data Structures
- Unit 4: File Operations, Exception Handling, Regular Expressions and Debugging
- Unit 5: Applying Python Programming to Data Science and AI Projects
Tools used in this Paper: Python, Jupyter Notebook
Paper 2: Data Analysis with NumPy & Pandas
- Unit 1: Fundamentals of Data Science, Data Analytics and Data-Driven Decision Making
- Unit 2: NumPy Arrays, Numerical Operations, Indexing and Scientific Computing
- Unit 3: Pandas Series, DataFrames, Filtering and Data Manipulation
- Unit 4: Data Cleaning, Data Transformation and Missing Data Treatment
- Unit 5: Importing and Analysing CSV, Excel, JSON and Real-World Datasets
Tools used in this Paper: NumPy, Pandas, Jupyter Notebook
Paper 3: Statistics, Probability & Data Visualization
- Unit 1: Statistical Fundamentals, Data Distribution and Exploratory Data Analysis
- Unit 2: Measures of Central Tendency, Variability and Statistical Interpretation
- Unit 3: Probability, Probability Distributions and Hypothesis Testing
- Unit 4: Correlation, Regression Analysis and Statistical Relationships
- Unit 5: Data Visualization, Interactive Charts, Reports and Business Insights
Tools used in this Paper: Python, Matplotlib, Seaborn
Paper 4: Machine Learning & Predictive Modelling
- Unit 1: Machine Learning Fundamentals, Algorithms and End-to-End ML Workflow
- Unit 2: Supervised Learning, Linear Regression, Logistic Regression and Classification
- Unit 3: Decision Trees, Random Forest, K-Nearest Neighbors and Support Vector Machines
- Unit 4: Unsupervised Learning, Clustering, PCA and Dimensionality Reduction
- Unit 5: Model Evaluation, Cross-Validation, Feature Selection and Hyperparameter Optimization
Tools used in this Paper: Scikit-learn, Python, Jupyter Notebook
Paper 5: Deep Learning & Neural Network Applications
- Unit 1: Deep Learning Concepts, Neural Networks and AI Model Architecture
- Unit 2: Perceptrons, Activation Functions, Loss Functions and Optimization
- Unit 3: Building, Training and Evaluating Artificial Neural Networks
- Unit 4: Convolutional Neural Networks for Image Recognition and Computer Vision
- Unit 5: Recurrent Neural Networks, Sequence Models and Deep Learning Use Cases
Tools used in this Paper: TensorFlow, Keras, Python
Paper 6: Natural Language Processing & Artificial Intelligence
- Unit 1: NLP Fundamentals, Language Models and Real-World AI Applications
- Unit 2: Text Cleaning, Tokenization, Stemming, Lemmatization and Preprocessing
- Unit 3: Feature Extraction, TF-IDF, N-Grams and Text Classification
- Unit 4: Sentiment Analysis, Named Entity Recognition and Text-Based Analytics
- Unit 5: Large Language Models, Conversational AI and Modern NLP Applications
Tools used in this Paper: Python, NLP Libraries, Jupyter Notebook
Paper 7: Generative AI, LLMs & Prompt Engineering
- Unit 1: Generative AI Fundamentals, Large Language Models and AI Ecosystems
- Unit 2: Prompt Design, Prompt Engineering Methods and AI-Assisted Workflows
- Unit 3: Transformers, LLM Architectures and Generative AI Applications
- Unit 4: Retrieval-Augmented Generation, Embeddings and AI Application Development
- Unit 5: Developing Practical Generative AI Solutions for Industry Use Cases
Tools used in this Paper: Generative AI Tools, Python, LLM APIs
Paper 8: SQL, Data Engineering & AI Data Preparation
- Unit 1: SQL Fundamentals, Database Concepts, Queries and Data Retrieval
- Unit 2: Joins, Subqueries, Aggregations, Views and Advanced SQL Queries
- Unit 3: Data Extraction, Transformation, Cleaning and Feature Preparation
- Unit 4: Managing Structured, Semi-Structured and Unstructured Data
- Unit 5: Creating Data Pipelines for Analytics, Machine Learning and AI Workloads
Tools used in this Paper: SQL, MySQL, Python
Paper 9: Real-Time Data Science & AI Capstone Projects
- Unit 1: Complete Data Science Project Lifecycle from Problem Definition to Deployment
- Unit 2: Exploratory Data Analysis, Feature Engineering and Business Problem Solving
- Unit 3: Machine Learning Model Building, Testing, Evaluation and Optimization
- Unit 4: Implementing Deep Learning, AI and Generative AI Solutions for Practical Use Cases
- Unit 5: Model Deployment, Project Documentation, Presentation and Professional Portfolio Building
Tools used in this Paper: Python, Pandas, Scikit-learn, TensorFlow, Jupyter Notebook
Let's Get Started
Skills Covered











Industry-Ready Data Science & AI Tools You'll Master in Chennai
Eligibility & Criteria
Everything you need to know to join and qualify for placement.
Who Can Apply?
Eligibility Year of Passing
2018 and After
Graduates
Any Graduate / Diploma
Academic Percentage
Min 60%
Placement Eligibility
Attendance
Min 90%
Assessment Marks
Min 75%
Live Projects
100% Completion
Why Data Science & Artificial Intelligence
Training is a Great Career Choice
Data Science and AI are among the most in-demand technology skills, helping businesses turn data into insights, predictions, and intelligent solutions. With practical Data Science and AI training in Chennai, learners can build skills in Python, SQL, ML, Deep Learning, Generative AI, data analytics, and modern AI technologies.
High Demand for Data Science & AI Professionals
Strong Career & Earning Opportunities in AI
Diverse Careers: Data Scientist, ML Engineer & AI Developer
Global Opportunities in Data & Artificial Intelligence
Continuous Growth with AI & Data Science Trends
Data Science & AI Job Roles and Annual Salary Range
Data Analytics & AI Entry Roles
- Data Science Intern
- Data Analyst
- Junior Data Analyst
- Business Intelligence Analyst
- Junior Business Analyst
- AI Data Analyst
Data Science & Machine Learning Specialist
- Data Scientist
- Machine Learning Engineer
- Data Science Associate
- Machine Learning Specialist
- Predictive Analytics Specialist
- Applied Data Scientist
AI & Deep Learning Specialist
- AI Engineer
- Deep Learning Engineer
- Computer Vision Engineer
- NLP Engineer
- AI/ML Engineer
- Artificial Intelligence Specialist
Gen AI & LLM Specialist
- Generative AI Engineer
- LLM Engineer
- Prompt Engineer
- AI Application Developer
- RAG Developer
- AI Agent Developer
MLOps & AI Engineering
- MLOps Engineer
- AI Platform Engineer
- ML Operations Engineer
- ML Infrastructure Engineer
- AI Deployment Engineer
- Machine Learning Architect
Senior Data Science & AI Leadership
- Lead Data Scientist
- Lead AI Engineer
- Principal Data Scientist
- AI Solutions Architect
- Head of Data Science
- Artificial Intelligence & ML Engineering Manager
Data Science & AI Career Roadmap
- Data Analyst
- Data Science Intern
- Business Intelligence Analyst
- Data Scientist
- Machine Learning Engineer
- BI Developer
- Senior Data Scientist
- Machine Learning Architect
- Data Engineer
- Data Science Manager
- AI Director
- Head of Data Science
Our Alumni Work at
Get Advanced Data Science and AI Course
Certification
A Data Science and AI course certification from Linkplux validates your practical skills in Python, SQL, statistics, Machine Learning, Deep Learning, data visualization, Generative AI, and predictive analytics. It strengthens your resume, showcases hands-on project experience, and demonstrates job-ready expertise for Data Scientist, Data Analyst, AI Engineer, ML Engineer, and Data Engineer roles in Chennai's growing IT sector.
Reviews from Our Successful Students
See how our AI-powered IT training institute has helped students succeed.
"Perfect for Beginners"
Hi, I'm Priya.S . I completed my undergraduate degree in 2021. Then I decided to change my career to the IT field. The trainers were very friendly and cleared all my doubts. My special thanks to Ashok sir for his guidance. I learned to create a website very easily. The real-time project gave me the confidence to crack the interview.
"Hands-On Learning That Built My Confidence"
The MERN Stack training at Linkplux gave me practical experience in building real-world web applications. Every concept was explained clearly with hands-on coding sessions, making it easy to understand both frontend and backend development. The trainers were supportive throughout the course, and the live projects helped me gain the confidence to attend interviews and start my career as a Full Stack Developer.
"A Perfect Start to My Digital Marketing Career"
The Digital Marketing program at Linkplux gave me the confidence to work on real-world projects and understand industry practices. The trainers explained every concept with practical examples, and the live assignments helped me improve my skills. I truly appreciate the guidance and support I received throughout the course and would recommend Linkplux to anyone looking to build a successful career in Digital Marketing.
"A Career-Changing Learning Experience"
The practical assignments and live projects at Linkplux helped me gain real-world experience in Data Analytics. The trainers explained every concept clearly and guided me throughout the learning journey. The hands-on approach boosted my confidence and prepared me for industry challenges. I highly recommend Linkplux to anyone looking to build a successful career in the IT field.

4.8 / 5 Rating