🔥 Next Batch starts on 18th Oct 2026
Why Choose Linkplux?

Advanced AI-Powered Data Science Training in Bangalore with Practical Learning

Linkplux provides artificial intelligence-driven data science education in Bangalore initiative consisting of Python, SQL, machine learning, deep learning, Generative AI, predictive modelling and data visualisation through various methods including hands-on experiences, portfolio building and training aimed at enhancing one’s professional skills.

Data Science Projects
Python, SQL, ML & Generative AI
AI Interview & Career Support
AI-Powered Data Science Training in Bangalore
Industry-Based AI Portfolio
Expert Data Science Mentorship
Data Science Certification
Premium Features

Course Highlights

Practical AI Data Science Learning

Work with real-world datasets, data exploration tasks, predictive exercises, and AI-driven case studies to understand modern data science workflows.

Advanced AI & Data Science Tools

Learn Python, SQL, Machine Learning, Deep Learning, Generative AI, and data visualisation for developing intelligent data-driven solutions.

Data Science Course Certification

Get hands-on assignments and practical projects to earn a Data Science certification demonstrating knowledge of AI and Machine learning concepts.

AI Career Development Support

Prepare for emerging technology roles with resume assistance, interview preparation, and career guidance for Data Scientist and AI positions.

Machine Learning Project Practice

Build machine learning models, predictive solutions, visual analytics, and Python applications using datasets inspired by industry use cases.

Expert-Led Technical Mentoring

Gain practical direction from experienced trainers while exploring feature engineering, model evaluation, data preprocessing, and AI problem-solving techniques.

AI Project Portfolio Development

Create a career-ready portfolio featuring machine learning models, Python notebooks, predictive analyses, AI applications, and data science projects.

Technical Interview Preparation

Improve your interview readiness through technical question practice, project discussions, problem-solving sessions, and AI data science career mentoring.

Roadmap

How You'll Learn

Psychometric Assessment
Technical Skill Development
20% Theory
Communication Skill Development
80% Practical
Aptitude Skill Development
Webinars/Seminars by Experts
Learning Management System
Discussion Forum
Work on Live Projects
Placement Training
Resume Building
Interview Prep
Assessment MCQs
Mock Interviews
Portfolio Building
Certification
Curriculum

Career-Focused AI-Powered Data Science Course Syllabus

Paper 1: Data Science Fundamentals & Statistical Thinking

  • Unit 1: Data Science Lifecycle, Applications and Industry Use Cases
  • Unit 2: Data Types, Sources and Data Collection Techniques
  • Unit 3: Descriptive Statistics, Probability and Distribution Analysis
  • Unit 4: Hypothesis Testing, Correlation and Statistical Relationships
  • Unit 5: Mathematics, Business Problems and Analytical Decision-Making

Practical AI Tools: ChatGPT, Google Gemini, Microsoft Copilot, Claude

Paper 2: Python Programming & Data Science Libraries

  • Unit 1: Python Fundamentals, Variables, Operators and Control Flow
  • Unit 2: Functions, Lists, Tuples, Dictionaries, Sets and Exception Handling
  • Unit 3: Object-Oriented Programming, Modules and File Operations
  • Unit 4: NumPy Arrays, Pandas DataFrames and Scientific Computing
  • Unit 5: Matplotlib, Seaborn and Exploratory Data Visualisation

Practical AI Tools: GitHub Copilot, ChatGPT, Google Gemini, Claude

Paper 3: SQL, Databases & Data Engineering Essentials

  • Unit 1: Relational Databases, Tables, Keys and Data Relationships
  • Unit 2: SQL Queries, Filtering, Grouping, Aggregation and Sorting
  • Unit 3: Joins, Nested Queries, CTEs and Window Functions
  • Unit 4: Database Connectivity and Data Extraction with Python
  • Unit 5: Data Warehousing Concepts and Analytical Data Pipelines

Practical AI Tools: ChatGPT, Microsoft Copilot, Google Gemini, GitHub Copilot

Paper 4: Data Cleaning, EDA & Feature Engineering

  • Unit 1: Data Inspection, Quality Assessment and Profiling
  • Unit 2: Missing Values, Duplicates, Outliers and Inconsistent Records
  • Unit 3: Data Transformation, Scaling, Encoding and Normalisation
  • Unit 4: Exploratory Data Analysis, Trends, Correlations and Patterns
  • Unit 5: Feature Selection, Feature Creation and Dataset Preparation

Practical AI Tools: ChatGPT, Google Gemini, Microsoft Copilot, Jupyter AI

Paper 5: Machine Learning & Predictive Modelling

  • Unit 1: Machine Learning Workflow, Training Data and Model Selection
  • Unit 2: Linear Regression, Logistic Regression and Decision Trees
  • Unit 3: Random Forest, Support Vector Machines and Ensemble Techniques
  • Unit 4: K-Means, Hierarchical Clustering and Dimensionality Reduction
  • Unit 5: XGBoost, Predictive Analytics and Real-World Model Applications

Practical AI Tools: Scikit-learn, ChatGPT, Google Gemini, Microsoft Copilot

Paper 6: Model Evaluation, NLP & Deep Learning

  • Unit 1: Cross-Validation, Confusion Matrix and Performance Metrics
  • Unit 2: Accuracy, Precision, Recall, F1 Score, ROC-AUC and Regression Metrics
  • Unit 3: Neural Networks, Activation Functions and Deep Learning Fundamentals
  • Unit 4: Natural Language Processing, Text Processing and Sentiment Analysis
  • Unit 5: TensorFlow, PyTorch and Practical Deep Learning Applications

Practical AI Tools: TensorFlow, PyTorch, Hugging Face, ChatGPT

Paper 7: Generative AI, LLMs & AI Application Development

  • Unit 1: Generative AI Concepts, Foundation Models and LLM Architecture
  • Unit 2: Prompt Engineering, Structured Outputs and AI-Assisted Analysis
  • Unit 3: OpenAI, Gemini and Claude APIs for Intelligent Applications
  • Unit 4: Embeddings, Vector Databases, Semantic Search and RAG
  • Unit 5: LangChain, AI Agents and Data Science Automation Workflows

Practical AI Tools: ChatGPT, Google Gemini, Claude, LangChain, OpenAI APIs

Paper 8: Big Data, Cloud AI & MLOps

  • Unit 1: Big Data Characteristics, Hadoop Ecosystem and Distributed Computing
  • Unit 2: Apache Spark, PySpark and Large-Scale Data Processing
  • Unit 3: AWS, Microsoft Azure and Google Cloud for Data Science
  • Unit 4: Git, Docker, MLflow and Machine Learning Deployment Basics
  • Unit 5: Model Serving, Monitoring and Production-Oriented AI Workflows

Practical AI Tools: Apache Spark, PySpark, AWS SageMaker, Azure AI, Google Vertex AI

Paper 9: Industry Projects, AI Portfolio & Career Preparation

  • Unit 1: End-to-End Data Science Project Planning and Solution Development
  • Unit 2: Customer Churn, Fraud Detection, Recommendation and Forecasting Projects
  • Unit 3: NLP, Generative AI and Intelligent Business Application Projects
  • Unit 4: GitHub Portfolio, Technical Documentation and Project Presentation
  • Unit 5: Resume Building, Mock Interviews, Technical Assessments and Career Readiness

Practical AI Tools: ChatGPT, Google Gemini, Microsoft Copilot, Claude, NotebookLM

Let's Get Started

Skills Covered

Python
NumPy
Pandas
Jupyter Notebook
SQL
Scikit-learn
Data Cleaning
Exploratory Data Analysis
Feature Engineering
Descriptive Statistics
Probability
Statistical Inference
Hypothesis Testing
Regression Analysis
Correlation
Supervised Learning
Decision Trees
Random Forest
SVM
K-Means Clustering
XGBoost
Hyperparameter Tuning
Model Evaluation
Neural Networks
CNN
RNN & LSTM
TensorFlow
Keras
NLP
Matplotlib
Seaborn
Plotly
Tableau
Interactive Dashboards
Data Storytelling
Generative AI
Prompt Engineering
Large Language Models
RAG Applications
Docker
Git & GitHub
MLflow
Cloud Deployment
Industry Tools

AI-Powered Data Science Tools You'll Master in Chennai

Python & Data Science Tools "Work with Industry-Standard Tools for Data Analysis, Programming & AI-Assisted Data Science Workflows"

Python Data Science Tool
PythonData Science Programming
Jupyter Notebook Data Science Tool
Jupyter NotebookInteractive Data Analysis
NumPy Data Science Tool
NumPyNumerical Computing
Pandas Data Analysis Tool
PandasData Manipulation
Google Colab Data Science Tool
Google ColabCloud Data Analysis
ChatGPT Data Science Tool
ChatGPTAI-Assisted Data Analysis
Google Gemini Data Science Tool
Google GeminiAI Research & Analysis
GitHub Copilot Data Science Tool
GitHub CopilotAI Coding Assistance

SQL & Database Tools "Use Popular Database Platforms and Query Tools for Efficient Data Storage, Retrieval & Management"

MySQL Data Science Tool
MySQLRelational Database
PostgreSQL Data Science Tool
PostgreSQLAdvanced Database
SQLite Data Science Tool
SQLiteLightweight Database
SQLData Querying
Database ToolsData Management
SQL WorkbenchDatabase Querying

Machine Learning Tools "Gain Hands-On Experience with Widely Used Libraries for Building, Evaluating & Optimising Machine Learning Models"

Scikit-learn Data Science Tool
Scikit-learnMachine Learning Library
XGBoost Machine Learning Tool
XGBoostGradient Boosting
SciPy Data Science Tool
SciPyScientific Computing
Model EvaluationML Performance Analysis
Hyperparameter TuningModel Optimisation
Feature EngineeringFeature Preparation

Deep Learning & AI Tools "Explore Modern Frameworks for Neural Networks, Artificial Intelligence, Natural Language Processing & Computer Vision"

TensorFlow Data Science Tool
TensorFlowDeep Learning Framework
PyTorch Data Science Tool
PyTorchAI Model Development
Keras Deep Learning Tool
KerasNeural Network API
OpenCV Data Science Tool
OpenCVComputer Vision Library
Hugging Face AI Tool
Hugging FaceNLP & AI Models
NLP ToolsLanguage Data Processing

Generative AI Tools "Use Leading AI Platforms and Frameworks to Enhance Research, Coding, Automation & Data Science Workflows"

ChatGPT Generative AI Tool
ChatGPTGenerative AI Assistant
Google Gemini AI Tool
GeminiMultimodal AI Platform
LangChain AI Development Tool
LangChainLLM Development
OpenAI Data Science AI Tool
OpenAIAI & LLM Platform
Prompt ToolsAI Interaction
Vector DatabasesAI Data Retrieval
RAG ToolsAI Knowledge Retrieval
AI AgentsAI Workflow Automation

Data Visualization Tools "Create Clear Visual Reports and Interactive Dashboards with Popular Business Intelligence & Python Visualization Platforms"

Power BI Data Science Tool
Power BIBusiness Intelligence
Tableau Data Science Tool
TableauData Visualisation
Matplotlib Data Science Tool
MatplotlibPython Charts
Seaborn Data Visualization Tool
SeabornStatistical Graphics
Plotly Data Visualization Tool
PlotlyInteractive Charts
Dashboard ToolsInteractive Reporting

MLOps & Cloud Tools "Work with Deployment and Collaboration Tools Used to Manage, Package, Monitor & Scale Data Science Solutions"

MLflow Data Science Tool
MLflowML Lifecycle Management
Docker Data Science Tool
DockerModel Containerisation
Git Data Science Tool
GitVersion Control
GitHub Data Science Tool
GitHubCode Collaboration
AWS Data Science Tool
AWSCloud Computing
FastAPI Data Science Tool
FastAPIModel API Deployment
Cloud PlatformsData Science Deployment

Analytics & Professional Tools "Use Practical Tools for Analytics, Documentation, Project Collaboration & Building a Strong Data Science Portfolio"

Analytics ToolsBusiness Data Analysis
GitHub ProjectsProject Collaboration
Jupyter ReportsData Documentation
BI ToolsBusiness Reporting
Data ToolsData Preparation
GitHub Data Science Portfolio Tool
GitHubPortfolio & Collaboration
Qualifications

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

Career Growth

Why AI-Powered Data Science Training in Bangalore
Can Shape Your Career

AI-driven Data Science integrates programming, statistical-related subjects, machine learning, automation, and numerous intelligent technologies. The AI-Powered Data Science Course in Bangalore consists of Python, SQL, Deep Learning, Generative AI, NLP, Predictive Modeling, and numerous applications for industries to acquire necessary knowledge in working with modern technology.

Rising Demand for Skilled AI & Data Professionals

Build Skills for Emerging Technology Roles

Explore Machine Learning & AI Career Paths

Apply Advanced AI Skills Across Multiple Industries

Stay Current with Evolving AI Technologies

Career Insights

AI-Powered Data Science Job Roles and Annual Salary Range

Intern (0 - 6 Months)
Entry (0 - 2 Years)
Mid (2 - 5 Years)
Senior (5+ Years)
Stage 01

Data Science Intern

Intern ₹2 LPA – ₹4 LPA
Entry ₹4 LPA – ₹6 LPA
  • Data Science Intern
  • Junior Data Scientist
  • Data Science Trainee
  • AI Research Trainee
  • Junior Data Associate
  • Machine Learning Trainee
Stage 02

Data Scientist

Entry ₹5 LPA – ₹9 LPA
Mid ₹9 LPA – ₹16 LPA
Senior ₹16 LPA – ₹25+ LPA
  • Data Scientist
  • Applied Data Scientist
  • Predictive Analytics Specialist
  • Statistical Data Scientist
  • Decision Scientist
  • Data Science Consultant
Stage 03

Machine Learning Engineer

Entry ₹6 LPA – ₹10 LPA
Mid ₹10 LPA – ₹18 LPA
Senior ₹18 LPA – ₹30+ LPA
  • Machine Learning Engineer
  • ML Model Developer
  • AI Solutions Engineer
  • Predictive Modelling Engineer
  • Applied Machine Learning Specialist
  • ML Platform Engineer
Stage 04

AI & Generative AI Specialist

Entry ₹6 LPA – ₹11 LPA
Mid ₹11 LPA – ₹20 LPA
Senior ₹20 LPA – ₹35+ LPA
  • AI Engineer
  • Generative AI Engineer
  • LLM Application Developer
  • NLP Engineer
  • AI Solutions Specialist
  • Applied AI Consultant
Stage 05

Senior Data Science Professional

Mid ₹12 LPA – ₹20 LPA
Senior ₹20 LPA – ₹35+ LPA
  • Senior Data Scientist
  • Senior Machine Learning Engineer
  • Senior AI Engineer
  • Lead Data Scientist
  • ML Solutions Architect
  • Senior Applied AI Specialist
Stage 06

AI & Data Science Leadership

Mid ₹18 LPA – ₹28 LPA
Senior ₹28 LPA – ₹50+ LPA
  • Data Science Manager
  • AI Engineering Manager
  • Head of Data Science
  • AI Practice Lead
  • Director of AI & Data
  • Chief Data & AI Officer
Career Path

AI-Powered Data Science Training in Bangalore Career Roadmap

01
Foundation Level
  • Data Science Trainee
  • Junior Data Associate
  • Python Data Analyst
02
Professional Level
  • Data Scientist
  • Machine Learning Analyst
  • Predictive Analytics Specialist
03
Advanced Level
  • Machine Learning Engineer
  • AI Application Developer
  • NLP Specialist
04
Strategic Leadership
  • Data Science Manager
  • AI Solutions Lead
  • Head of Data & AI
BUILD YOUR AI & DATA SCIENCE CAREER IN BANGALORE

Ready to Grow Your Data Science Career?

Develop practical expertise in Python, SQL, machine learning, deep learning, Generative AI, NLP, predictive modelling, and intelligent application development.

Enroll Now

● Practical Projects · AI-Focused Learning

Our Alumni Work at

Inspiration

Success Stories from Our Students

See how Linkplux's IT training programs have helped students land top jobs through hands-on learning and expert guidance.

Student Success Story Main
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Trilochana found her path with Linkplux and landed the dream job.

#Datascience
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Krithika transformed her career with Linkplux and secured a Data Analyst role with a 4.5 LPA package. 🚀

#DataAnalytics
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Students shared how Linkplux's practical training and live projects helped him confidently start his Digital Marketing career.

#DigitalMarketing
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Krithika built her Full Stack Development skills at Linkplux and secured a 7 LPA Software Developer role. 🚀

#FullStackDevelopment
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Oviya Shree developed strong Data Analytics skills at Linkplux and launched her career as a Data Analyst. 📊

#DataAnalytics
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From a small town to a top tech firm, learn how our hands-on projects helped.

#Inspiration
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From a small town to a top tech firm, learn how our hands-on projects helped.

#Inspiration
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From a small town to a top tech firm, learn how our hands-on projects helped.

#Inspiration
Thumbnail

From a small town to a top tech firm, learn how our hands-on projects helped.

#Inspiration
Thumbnail

From a small town to a top tech firm, learn how our hands-on projects helped.

#Inspiration
Thumbnail

From a small town to a top tech firm, learn how our hands-on projects helped.

#Inspiration
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    Linkplux Certification

    Earn Professional AI-Powered Data Science Course
    Certification in Bangalore

    Complete your AI-Powered Data Science Training in Bangalore with a professional course certification that reflects your learning across Python, SQL, statistics, machine learning, deep learning, Generative AI, NLP, predictive modelling, and intelligent data applications. At Linkplux, practical assignments and project-based learning help you demonstrate your ability to apply modern data science techniques to industry-oriented problems. The certification can complement your resume, technical portfolio, and applications for data science, machine learning, and AI-focused roles.

    AI Data Science Certificate Logo
    Data Science Course Certificate Logo
    AI-Powered Data Science Certification Logo

    Reviews from Our Successful Students

    See how our AI-powered IT training institute has helped students succeed.

    Support

    Frequently Asked Questions

    AI-Powered Data Science combines statistical analysis, programming, machine learning, and artificial intelligence to extract value from complex datasets. It also introduces modern approaches such as Generative AI, large language models, automation, and intelligent data-driven applications.
    The program can be suitable for graduates, students, software professionals, analysts, engineers, and career switchers interested in data and artificial intelligence. Beginners can start with foundational programming, statistics, and data concepts before progressing to advanced topics.
    The AI-Powered Data Science Course in Bangalore can cover Python, SQL, NumPy, Pandas, statistics, machine learning, deep learning, NLP, Generative AI, LLMs, data visualization, and cloud technologies. Practical exposure may also include tools and frameworks used for model development and AI application workflows.
    Depending on your skills and experience, possible career paths include Data Scientist, Machine Learning Engineer, AI Engineer, NLP Specialist, Data Science Consultant, Applied AI Developer, and other data-focused technology positions.
    A course completion certificate may be provided based on the applicable training requirements. It can document your participation in structured learning covering data science, machine learning, artificial intelligence, practical assignments, and project-based activities.
    Career-oriented assistance can include resume improvement, technical interview preparation, project discussions, mock interview practice, and guidance on presenting data science skills to prospective employers.
    Yes. Beginners can learn progressively by starting with Python fundamentals, basic mathematics, statistics, and data handling before moving into machine learning and AI concepts. Regular coding exercises and guided projects can help build confidence throughout the learning process.
    Project work can include customer churn prediction, recommendation systems, fraud detection, sales forecasting, sentiment analysis, image classification, and Generative AI applications. These exercises provide opportunities to apply data preparation, modelling, evaluation, and AI techniques to realistic scenarios.
    Yes. Working professionals can use the training to strengthen their Python, machine learning, AI, and analytical capabilities or prepare for a transition into data-focused roles. Batch schedules and learning formats can be selected according to the available training options.
    Learners can develop portfolio projects involving Python analysis, machine learning models, predictive solutions, NLP applications, dashboards, and Generative AI use cases. Documenting these projects with code, methodology, results, and business context can demonstrate practical technical abilities.