Gen AI and LLM Course

Learn Generative AI & Data Science

Learn to utilize the power of Gen AI to drive innovation and solve complex data science problems with our comprehensive Generative AI Course in Kolkata. Our world-class instructors will guide you through Generative AI, RAG architecture, Prompt Engineering and AI applications in Computer Vision, Deep Learning, Image Cognition, Conversational Chatbot and Voice. Enroll now to get your dream job in AI !

New Batch Starting:

15th, Nov, 2026

For Prebooking Call - 9903376367

And get a free AI toolkit

Generative AI & Data Science Course in Kolkata

Are you seeking an opportunity to build a successful career in Data Science and Generative AI? You’re at the right place! Our comprehensive Data Science with Gen AI program will equip you with the skills and knowledge you need to harness the power of AI in real-world applications.

Gain deep insight into Artificial Intelligence and how it can be used along with Data Science techniques in real-world to solve business problems. In this course, you’ll become a master in data exploration, manipulation, and visualization using different tools and techniques. You’ll also gain in-depth knowledge and technical expertise in Deep Learning and AI applications such as Generative AI, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Prompt Engineering, and Image Cognition.

Our course is designed in such a way that you’ll become industry-ready after completion. We understand the importance of practical knowledge and therefore, we’ve focused on hands-on learning through real-world industry use cases and internships. You’ll not only learn theoretical concepts but also know practical applications.

Our faculty consists of world-class industry leaders as mentors who will guide you throughout your journey. This is the best Generative AI course as you not only learn the theory of LLMs, SLMs, RAG etc. but also work on practical industry problems during your internship using GenAI.

With the rapid growth of Data Science and AI applications, our course provides an opportunity to establish your career in this emerging field. Be a part of Data Brio Academy and dive into the future of AI with our Data Science and Generative AI course. Learn to harness the power of LLMs and AI copilots like GPT-4, Mistral, Claude, Gemini, Prompt Engineering and RAG to create innovative AI solutions.

Why Data Brio Academy?

Get individual attention from faculties who are successful industry practitioners/leaders in data science and passionate about your learning
Go beyond using only functions and standard libraries of R/Python/SAS. Understand fundamentals of ML/AI for working in projects. Work hands-on real-life cases and industry projects on Gen AI with mentoring/guidance and create your project portfolio.

Get mentored by Expert AI Panel member for European Observatory of ICT AI Standards by EU; Editor of 1st international assessment standard on Big Data Analytics, Chair of ISO AI sub-committee; Patent owners in AI
Attend classes online from your home or face-to-face at the academy as per your convenience
Access video recording of live classes if you missed a session or for revisiting a topic whether you attend online or in classroom at the academy

Who this course is for:

Students and early-career professionals
Freshers and working Professionals in IT, DW, MIS, reporting, etc. who work with data
Business professionals in marketing, Finance, HR, Supply chain, etc. from the industry verticals of Manufacturing, Telecom, IT, Banking & Financial Services, FMCG, Hospitality, Healthcare, etc. who want to use data for decision-making
Professionals who want to start or shift to a career in data analytics

Eligibility

Training and Placement

Subsequent to the completion of our Gen AI Certification course, assignments, projects, and placement assistance will kick start with resume building. Mock Interviews will be conducted for a better understanding of their interview readiness, one-to-one discussion on job description during interview calls, etc. This helps the participant to retrospect and understand their capability to improve the readiness. Participants can attend and successfully crack the interviews with complete confidence.

Students Successfully Placed in Companies:

Is the Data Brio Academy AI and Data Science course fee affordable?

Course fee:

₹ 52,000

+ GST applicable

With Money Back Guarantee**

What's included:

Registration fee:

₹ 7,000

+ GST applicable

Discount* and EMI option available.

What real-world projects will I work on during the course?

Build a professional portfolio in Data Science, AI, Gen AI and Data Engineering through real-world projects with industry experts, guided by mentorship and internship.
Showcase your work through an industry-ready portfolio that strengthens your profile for top career opportunities.

Projects and Application

Analytics Dashboard using Power BI and SQL

Beginner to Intermediate

Learn how to perform HR analytics using SQL and Power BI with a real‑world case study. Cover data cleaning, exploratory analysis, HR KPIs, and interactive dashboard building for data‑driven workforce decisions.

Power BI

EDA

HR Dashboard

SQL

Data Cleaning

Data Visualization

Feature Selection

HR KPIs

Predicting User Behaviour through AI Based Clickstream Analysis

Advanced

Learn how to analyze customer clickstream data using AI and machine learning to understand and predict user behavior. This project focuses on data wrangling and sequence analysis using advanced techniques such as LSTM‑based deep learning, enabling learners to model user journeys and uncover meaningful marketing insights.

Clickstream Analysis

Data wrangling

LSTM

Machine Learning

Marketing Analytics

Customer Behaviour

Deep Learning

Manufacturing Disc Brakes – defect reduction using machine learning

Intermediate

Learn how to apply machine learning in a manufacturing context through a real world disc brake production case study. This project focuses on analyzing manufacturing and quality data to identify defect patterns and predict failure risks.

Manufacturing

Feature engineering

Defect patterns

Predictive model

Logistic Regression

SVM

Anomaly detection

Industry Capstone Projects

Every student is required to complete a comprehensive capstone project that involves working with real-world data and solving actual business challenges in collaboration with our industry partners. These projects not only demonstrate practical expertise but also significantly enhance a candidate’s resume and provide strong, credible discussion points during job interviews.

Forecasting Project – Product & SKU Level Demand Prediction

Intermediate

A hands on forecasting project where learners apply time series and machine learning methods to predict future sales, covering the complete lifecycle from data cleaning and model training to evaluation and forecast generation for data driven business planning.

ARIMA Model

Window Functions

CTE

Data Cleaning

AI Chatbot for Insurance – Customer Support using LLMs and RAG

Advanced

Build an intelligent insurance chatbot using LLMs, RAG, computer vision models for document understanding and agentic AI to automate customer support and policy related queries.

Feature Engineering

ARIMA Model

Window Functions

CTE

Data Cleaning

Product Recommendation using AI

Advanced

Apply machine learning and GenAI to design intelligent, personalized product recommendations and optimize marketing campaign performance.

Feature Engineering

ARIMA Model

Window Functions

CTE

Data Cleaning

Accredition & Affiliation

Data Science with Gen AI Course Curriculum

Duration – 120 Hours

AI – Methods and Models

Analytics Fundamentals

Population and Sample
Elementary Probability, Correlation
Point & Interval Estimation
Hypothesis Testing, Type I & Type II Error, P-Value
Basics of Inferential analytics

Inferential Statistics

Normality, HOV, ANOVA, Moods Median Test, Chi-square test etc
Assignments with data sets

Modelling

Linear Regression
Assumptions and Diagnostics
Interactions and indicator variables
Descriptive & predictive models
Logistic Regression

Machine Learning Techniques

Clustering technique
Decision Tree
Case studies

Dimension Reduction

Multivariate Analysis
Factor Analysis
Case studies

Business Forecasting

Time Series data
Methods – MA, Exponential Smoothening, ARIMA
Evaluating best forecasts

Deep Learning, AI, & Generative AI

What is Generative AI?
What is Deep Learning?
Definition and core concepts
How Generative AI differs from traditional AI
Generative AI (Gen AI) – Large Language Models (LLM)
RAG Architecture and Prompt Engineering
Different LLMs like GPT-4, Gemini, Claude 2, Llama 2 etc.
Image Cognition (Video, Image) – image segmentation and classification
Object detection and information extraction using Azure Computer Vision and Amazon Rekognition

R Programming for Data Science

Introduction to the R language and the computing environment

The R console, and the command interpreter
R scripts and running R scripts
The RStudio GUI and R Packages
Getting help in R and R functions

Data Structures

Basic object – Vector & operations
Data structures – matrices, lists, arrays, data frames
Manipulating data structures
Reading and writing data from and to different file formats

Data Management

The apply family of functions and its uses in efficient data processing
Basic string and date processing
Generating and using (pseudo) random samples

Writing R Functions

Basic R built-in functions
Recycling, Control flow, Recursion
Conditions, loops
Vectorization & vector Operation
Writing and using user-defined functions

Visualization in R

Simple charts and graphs – histograms, scatter diagrams
Line plots, boxplots, pareto charts, etc.
Plot function

Data Science applications using built-in R functions

Descriptive statistics
Hypothesis tests and ANOVA
Linear Regression including interactions and indicator variables
Machine learning algorithms

Python Programming

Python Fundamentals

Getting, installing & navigating the software
Anaconda IDE, Jupyter, Spider, Pycharm, Google colab
Statements and comments
Input, Output and Import
Python operators, variables

Data Types

Python numbers, string
Python list, Tuple, String, Set, Dictionary etc.
Dataframes, Modules, Packages
Conversion between data types

Data Structure

Troubleshooting and error handling
Conditionals
Functions – new and built-in function
Flow Control – If – Else, For loop, while loop etc.
Break & control

Data Management & Visualization

Data Management, Visualization and Basic analytics using libraries – Pandas, Numpy, Scipy, Scikitlearn, Matplotlib, Seaborn, Plotly etc.

Data Science & ML algorithms in Python

Descriptive statistics
Linear Regression including interactions and indicator variables
Machine learning algo in python – Classification & Regression, Decision Tree
Time-series forecasting

Analytics & Visualisation

Data and AI Paradigm

What is analytics, data science, ML, AI?
Data – Different perspectives and types
Sources of Data – public data, business data
Structured and unstructured data

Summaries and Visualizations

Central tendency, dispersion, cross tabulations
Association, covariance, correlation
Trend, seasonality, line chart
Histogram, boxplot, scatter plot, pareto chart etc.
Derived metrics & KPI

MS Excel for Analytics

Using formula & data validation
Pivot table and charts, Conditional formatting
Lookups, error handling
Numerical and graphical summaries

Power BI or Tableau for dashboard

Power BI or Tableau workspace – dimensions & measures
Tables & charts, various data source connectivity
Filters – slicing & dicing of multi-dimensional data
GIS-based visualization, time-series data
Calculated fields, Interactive dashboards

SQL for Querying and Databases

Basics of RDBMS
Tables & queries (select queries – group by, order by, having etc.)
Keys & joins (left, right, inner, outer)

S/W tools

Python, Google colab, Jupyter Notebook, VS Code
MS Excel or equivalent
Tableau / PowerBI
MySQL or equivalent
Azure Computer Vision
GPT, Claude
Amazon AWS AI Services / Azure AI

Our Certificates

Gain Industry-Recognized Certificates in Gen AI and Data Science

Our Student Testimonials

See why participants trust us to deliver on our promises

The course has the right balance…

The course has the right balance between theory and practical which is valuable for understanding. This course provided me exposure to real-time projects and also gave me the first job in my data science career.

Souvik Saha, (B.Com)

Data Analyst, UST Global

Anybody looking for a career…

Anybody looking for a career in data science, I would suggest them to go to Data Brio Academy not only for their expertise in the subject but because of the industry exposure the team has and the eco-system they provide for learning data science and AI.

Prosun Sikdar, (MBA)

Senior Advisor - Dell Technologies

DBA provided ample exposure…

DBA provided ample exposure to practical projects in data science with emphasis on understanding the project life cycle. This course helped me shift into data science role in one of the ‘big’ consulting firms from telecom networking.

Sumit Singh, (B.Tech)

Senior Analyst, EY

Very knowledgeable instructors…

Very knowledgeable instructors with real-world experience, which is very important for anyone interested in moving into the data science field.

Rajiv Menon

Project Manager, IBM

Overall experience is great…

Overall experience is great. Interaction with faculties helped me gain knowledge and motivated me towards pursuing a career in analytics and data science.

Soumil Mukherjee, (B.Tech)

Data Analyst - Koch Industries, USA

I am a scientist. My every day research…

I am a scientist. My every day research work involves lot of data analysis including quite involved statistical techniques and even in that context the data science course at DBA has been very useful for me. The faculty who took the bulk of the course is a brilliant teacher.