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
Industry-Based AI Portfolio
Expert Data Science Mentorship
Data Science Certification
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.
How You'll Learn
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
AI-Powered Data Science 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 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
AI-Powered Data Science Job Roles and Annual Salary Range
Data Science Intern
- Data Science Intern
- Junior Data Scientist
- Data Science Trainee
- AI Research Trainee
- Junior Data Associate
- Machine Learning Trainee
Data Scientist
- Data Scientist
- Applied Data Scientist
- Predictive Analytics Specialist
- Statistical Data Scientist
- Decision Scientist
- Data Science Consultant
Machine Learning Engineer
- Machine Learning Engineer
- ML Model Developer
- AI Solutions Engineer
- Predictive Modelling Engineer
- Applied Machine Learning Specialist
- ML Platform Engineer
AI & Generative AI Specialist
- AI Engineer
- Generative AI Engineer
- LLM Application Developer
- NLP Engineer
- AI Solutions Specialist
- Applied AI Consultant
Senior Data Science Professional
- Senior Data Scientist
- Senior Machine Learning Engineer
- Senior AI Engineer
- Lead Data Scientist
- ML Solutions Architect
- Senior Applied AI Specialist
AI & Data Science Leadership
- Data Science Manager
- AI Engineering Manager
- Head of Data Science
- AI Practice Lead
- Director of AI & Data
- Chief Data & AI Officer
AI-Powered Data Science Training in Bangalore Career Roadmap
- Data Science Trainee
- Junior Data Associate
- Python Data Analyst
- Data Scientist
- Machine Learning Analyst
- Predictive Analytics Specialist
- Machine Learning Engineer
- AI Application Developer
- NLP Specialist
- Data Science Manager
- AI Solutions Lead
- Head of Data & AI
Our Alumni Work at
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.
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