Professional Certificate Program in Data Science with Generative AI

Where Data Science and Business Analytics meet Generative AI. From dashboards to predictive models to GenAI automation, master it all.

Duration
6 Months

Mode
Online

Certification
Professional

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For enquiries call: +91 84899 00332

Introduction to PCP in DS with GenAI

30+

Case Studies & projects

20+

Workshops & Masterclass

25+

Programming Tools

24-week structured journey from data to GenAI.
10+ workshops & 30+ industry cases for hands-on learning.
10+ masterclasses with daily support & mentorship.
Cutting-edge tools: Python, SQL, Power BI, scikit-learn, MLflow, OpenAI, LangChain.
Capstone project + portfolio to showcase business-ready skills.
Earn Microsoft Certification

The Power of This Program

Master Data Science, Business Analytics + Generative AI applications in a single program.

Duration: 24 weeks
Format: Live + recorded + labs
IIIT-B: 5+ masterclasses
Workshops: 15+ Hands on workshops
30+ industry cases, 6+ Projects
Capstone: 1 to 1 capstone mentorship
Daily support sessions
Peer community

Gain a 360° skillset spanning Data Science, Analytics, and Generative AI.

Build strong foundations in Python, SQL, statistics, and BI.
Apply ML to solve business problems like churn, forecasting, and pricing.
Explore Generative AI for automated analysis, RAG, and business Q&A systems.

Hands-on with Python, SQL, Power BI/Tableau, AutoML, GPT APIs, LangChain, LlamaIndex, and RAG.

Work with industry-standard analytics & ML tools: pandas, scikit-learn, MLflow.
Explore AutoML platforms like Vertex AI and Azure ML for faster deployment.
Use GPT APIs, LangChain, and LlamaIndex to create GenAI-powered workflows.

6+ projects and a capstone designed around customer analytics, forecasting, and AI-augmented BI solutions.

Solve projects on sales pipelines, churn prediction, and revenue dashboards.
Build ML models for demand forecasting and customer segmentation.
Create GenAI-powered analytics assistants and reporting systems.

Prepare for roles like Data Analyst, Business Analyst, BI Specialist, Data Scientist and GenAI Consultant.

Showcase your portfolio with dashboards, ML models, and GenAI workflows.
Gain skills that blend analytics, ML, and GenAI that are highly valued by employers.
Unlock opportunities across domains like BFSI, Retail, Healthcare, Tech, Product, Consulting, etc.

PCP in DS with GenAI Syllabus: What You’ll Learn

Foundations of Applied Data Science

Duration: Weeks 1–5

Topics Covered

Pandas loading/cleaning
Merges
KPI aggregations
Reusable pipelines
SQL joins/CTEs/windows
Query optimisation

Sample Projects

Weekly sales & margin pipeline
Cohort table (retention)
SQL backend for revenue dashboard

Technologies Used

Python

Pandas

NumPy

SQL

Jupyter

Git

Statistical Intelligence & Business Analytics

Duration: Weeks 6–9

Topics Covered

Probability and Statistics - The Building Blocks of Data Science
Linear Algebra and Calculus - The Building Blocks of Machine Learning
Python Programming for Data Science and Machine Learning
Data Analysis and Visualization for Insight Generation

Sample Projects

A/B test plan & results
Cohort retention study
Exec insight report (2 pages)

Technologies Used

Python

Pandas

Plotly

Statsmodels

SQL

Matplotib

Seaborn

Scipy

Business Intelligence & Visual Storytelling

Duration: Weeks 10–13

Topics Covered

Visual theory (chart choice, colour/accessibility, Gestalt, mobile)
BI modelling
Calculated fields
Parameters/filters
Drill-through & RLS
Performance optimisation
Python viz & automation (Plotly, scheduled email)
Style guide
Pyramid Principle

Sample Projects

C-suite revenue dashboard
Operations KPI board
Automated weekly distribution

Technologies Used

Excel

SQL

Plotly

Power BI

Looker Studio

Machine Learning

Duration: Weeks 14–17

Topics Covered

When ML vs rules
Feature engineering
Supervised/unsupervised
Business evaluation (cost of error, ROI)
Model cards
AutoML(PyCaret/Vertex/Azure)
Deployment endpoints
MLflow tracking
Monitoring dashboards & A/B Testing of models

Sample Projects

Churn prediction & playbook
Demand forecast with CIs
Price elasticity & optimisation

Technologies Used

Python

Pandas

SQL

Sci-kit Learn

MlFlow

Vertex Ai

Notebook Ai

Generative AI

Duration: Weeks 18–20

Topics Covered

SQL/code generation
Automated EDA
Anomaly explanations
NL Q&A for dashboards
RAG over company knowledge
Workflow automation(orchestration)
Governance: validation, bias, privacy, cost control

Sample Projects

AI-augmented analysis pipeline
RAG Q&A over metrics
Time-reduction evidence note

Technologies Used

Python

Pandas

SQL

Lang Chain

Open AI

Capstone

Duration: Weeks 21–24

Topics Covered

W21 charter/data
W22 analysis & model
W23 BI build + GenAI + user test
W24 exec presentation, adoption & monitoring plan
Customer Intelligence / Revenue Optimisation / Operational Excellence tracks

Technologies Used

Python

Github

Power BI

SQL

Sci-kit Learn

MlFlow

PCP in DS with GenAI Certification

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