33 Weeks | Live + Recorded + Workshops

IIIT Bangalore
Professional Certificate Programme in Data Science & Agentic AI

The Professional Certificate Programme in Data Science & Agentic AI, powered by upGrad and IIIT Bangalore, is a 33-week industry-oriented programme designed to transform learners into AI-augmented Data Scientists. The curriculum combines Python programming, SQL, data engineering, business intelligence, machine learning, MLOps, Generative AI, Retrieval-Augmented Generation (RAG), Agentic AI and end-to-end AI engineering. Learners gain practical exposure through 120+ hours of live learning, 10+ workshops, 10+ masterclasses, 30+ industry cases, seven hands-on projects and a real-world capstone project while building a portfolio that is interview-ready and deployment-ready.

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IIIT Bangalore Professional Certificate Programme in Data Science & Agentic AI

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University Rankings & Accreditation

IIIT Bangalore — recognition that matters

IIIT Bangalore Professional Certificate Programme

33 Weeks Industry-focused Learning Journey

120+ Live Hours Faculty-led Interactive Sessions

7 Industry Projects Portfolio-based Learning

End-to-End Capstone AI-powered Business Solution

Microsoft Certified Advantage Integrated Microsoft Learn Modules

Programme Certificate Professional Certificate Programme in Data Science & Agentic AI

Program Highlights

Everything that matters — at a glance

⏱
Programme Duration
33 Weeks
📋
Learning Format
Live + Recorded + Workshops
💰
Weekly Effort
10–12 Hours
💻
Live Learning
120+ Hours
🏦
Masterclasses
10+ Live Deep Dives
🤝
Hands-on Workshops
10+ Workshops
🌍
Industry Cases
30+ Real-world Case Studies
📜
Projects
7 Industry Projects + Capstone
🎓
Certification
Professional Certificate from IIIT Bangalore
🏆
Career Outcome
Industry-ready Data Scientist & AI Practitioner

How You Learn Online

UGC-compliant 4-Quadrant learning model — structured for working professionals

Video & E-Tutorial

Animated video lectures, virtual labs, audio content and full transcriptions — available 24/7

E-Content & Resources

Digital study material, e-books, case studies, web references and reading material uploaded weekly

Live Discussion Forum

Weekly live sessions with course coordinators for doubt-clearing and peer interaction

Assessments

Weekly quizzes, assignments, MCQs and project evaluations — structured and timely feedback

Program Curriculum

Industry-aligned, application-based — built for career outcomes

Course 1 - Python & AI-Powered Programming (Weeks 1-5)

Business Mathematics for Analytics
Excel (Pivot Tables & VLOOKUP)
Computational Thinking
Data Ethics
Python Fundamentals
Variables & Data Types
Control Structures
Functions
File Handling
Exception Handling
Debugging with AI
ChatGPT
Claude
Gemini
GitHub Copilot
NumPy
Arrays & Broadcasting
Pandas
DataFrames
Filtering & Merging
GroupBy
Pivot Tables
Git
Version Control
API Key Management
Portfolio Setup
GitHub Pages
Integration Mini Capstone

Course 2 - SQL, Data Engineering & Cloud Platforms (Weeks 6-10)

Advanced SQL
Window Functions
RANK
LAG
LEAD
NTILE
Common Table Expressions (CTE)
Query Optimization
Views
SQLAlchemy
ETL vs ELT
Batch vs Streaming
Kafka Concepts
Star Schema
Snowflake Schema
Data Contracts
Docker
dbt
Jinja
Airflow
Dagster
Snowflake
BigQuery
Databricks
AWS
Google Cloud Platform
Apache Spark
PySpark
MLflow
Data Engineering Integration Project

Course 3 - BI, Visual Analytics & Business Metrics (Weeks 11-15)

Power BI
Power BI Copilot
DAX
Time Intelligence
Drill Through
Row-Level Security
Performance Optimization
Plotly
Matplotlib
Seaborn
Tableau Overview
Data Storytelling
Gestalt Principles
Colour Theory
Accessibility (WCAG)
Pyramid Principle
North Star Metrics
KPI Trees
Customer Lifetime Value (LTV)
Customer Acquisition Cost (CAC)
Net Promoter Score (NPS)
Cohort Analysis
Funnel Analysis
RFM Segmentation
Market Basket Analysis
Time Series Decomposition
Attribution Modelling
Executive Dashboard Projects

Course 4 - Statistics, Experimentation & Forecasting (Weeks 16-20)

Exploratory Data Analysis
Univariate Analysis
Bivariate Analysis
Multivariate Analysis
Outlier Detection
ydata-profiling
Sweetviz
Probability Distributions
Central Limit Theorem
Sampling Theory
Confidence Intervals
Hypothesis Testing
Z-Test
T-Test
Chi-Square Test
ANOVA
A/B Testing
Bayesian A/B Testing
Correlation vs Causation
Time Series Forecasting
ARIMA
Facebook Prophet
Walk-forward Validation
MAPE
RMSE
Demand Forecasting
Revenue Projection
Inventory Planning

Course 5 - Machine Learning & Deep Learning (Weeks 21-25)

Supervised Learning
Unsupervised Learning
Linear Regression
Logistic Regression
Decision Trees
Random Forest
Gradient Boosting
XGBoost
LightGBM
Support Vector Machines (SVM)
K-Means Clustering
Hierarchical Clustering
Principal Component Analysis (PCA)
Feature Selection
Feature Engineering
Hyperparameter Tuning
Cross Validation
Model Evaluation
Model Explainability
SHAP
LIME
Neural Networks
TensorFlow
PyTorch
Transfer Learning
Computer Vision
Natural Language Processing
Deep Learning Applications
Predictive Analytics Project

Course 6 - Generative AI & Agentic AI (Weeks 26-30)

Generative AI Fundamentals
Large Language Models (LLMs)
Prompt Engineering
OpenAI APIs
Google Gemini
Claude AI
Embeddings
Vector Databases
FAISS
Pinecone
ChromaDB
Retrieval-Augmented Generation (RAG)
Semantic Search
Function Calling
AI Agents
LangChain
LangGraph
CrewAI
LlamaIndex
Multi-Agent Systems
AI Workflow Automation
Enterprise AI Applications
Responsible AI
Agentic AI Architecture

Course 7 - MLOps & End-to-End AI Deployment (Weeks 31-33)

MLOps Fundamentals
MLflow
Docker
FastAPI
REST APIs
CI/CD Pipelines
Model Versioning
Model Monitoring
Model Drift Detection
Cloud Deployment
AWS Deployment
Google Cloud Platform
Azure AI Services
GitHub Actions
Production AI Systems
Scalable AI Deployment
Capstone Project
Portfolio Development
Career Preparation

4 Specializations

Click any specialization to see fees and key modules

Data Science & Machine Learning IIIT Bangalore Included ▼

Total FeeIncluded

Per SemesterIncluded

Zero Cost EMIIncluded

Key Modules:

Python
Statistics
Machine Learning
Deep Learning

Data Engineering & Cloud IIIT Bangalore Included ▼

Total FeeIncluded

Per SemesterIncluded

Zero Cost EMIIncluded

Key Modules:

SQL
Apache Spark
Data Engineering
Cloud Platforms

Generative AI & Agentic AI IIIT Bangalore Included ▼

Total FeeIncluded

Per SemesterIncluded

Zero Cost EMIIncluded

Key Modules:

LLMs
RAG
LangChain
AI Agents

Business Intelligence & Analytics upGrad Included ▼

Total FeeIncluded

Per SemesterIncluded

Zero Cost EMIIncluded

Key Modules:

Power BI
Dashboarding
Data Storytelling
Business Analytics

Fee Structure

Transparent pricing — paid semester-wise with Zero Cost EMI available

Specialization	Per Semester	Total Fee	EMI / Month (6 mo)
Professional Certificate Programme in Data Science & Agentic AI	NA	₹99,000	Starting at ₹4,847/month

The total programme fee is ₹99,000 with no taxes applicable. Flexible financing options are available with EMIs starting from ₹4,847 per month for eligible learners.

Scholarships Available

Reviewed and approved on a case-by-case basis

Category	Who's Eligible	Scholarship
No Cost EMI	Eligible learners	Available
Education Loan	Available through financing partners	Available
Corporate Sponsorship	Working Professionals	Case Basis

Eligibility Criteria

Simple and transparent — no entrance exam required

🇮🇳 Students with Indian Education

Passed 10 + 2 from a recognised board
Completed undergraduate degree (minimum 3 years)
Aggregate minimum of 50% marks
Final year students can apply with last semester results
Work experience gives added advantage

🌍 Students with Foreign Education

Certificate of Equivalence from AIU (Association of Indian Universities) required
Visit aiu.ac.in for details

Career Opportunities

Roles our graduates step into after completing this program

Data Scientist

Develop predictive models, perform statistical analysis and deliver actionable insights using machine learning and AI techniques.

Machine Learning Engineer

Build, train, optimize and deploy scalable machine learning models for real-world business applications.

Generative AI Engineer

Design and develop AI-powered applications using Large Language Models, Prompt Engineering and Retrieval-Augmented Generation.

Agentic AI Engineer

Create autonomous AI agents, multi-agent workflows and intelligent enterprise automation solutions.

Data Engineer

Build data pipelines, cloud-based ETL workflows and scalable data infrastructure for analytics and AI.

Business Intelligence Analyst

Develop interactive dashboards, business reports and KPI-driven insights using Power BI and advanced analytics.

MLOps Engineer

Deploy, monitor and maintain production-grade machine learning systems using Docker, MLflow and cloud platforms.

AI Solutions Engineer

Design AI-driven business solutions by integrating machine learning, cloud services and Generative AI technologies.

Analytics Consultant

Help organizations solve business challenges through data science, AI, visualization and statistical modelling.

AI Product Analyst

Support AI product development through data analysis, experimentation, customer insights and business intelligence.

Our Hiring Partners

Top companies that recruit our graduates

Microsoft Google Amazon IBM Accenture Deloitte EY PwC Infosys TCS Cognizant Capgemini HCLTech Wipro Tech Mahindra Oracle SAP NVIDIA Adobe upGrad Hiring Network

Student Testimonials

Real students. Real outcomes.

The programme provided hands-on exposure to Data Science, Machine Learning and Agentic AI through real-world projects and practical learning.

Programme Learner

Data Science & Agentic AI

The curriculum helped me transition from analytics to production AI by combining MLOps, cloud deployment and Generative AI.

Working Professional

AI Engineer

The projects, workshops and capstone significantly improved my practical skills and strengthened my AI portfolio.

Programme Participant

Data Scientist

The programme offers an excellent balance of data science fundamentals, business analytics and modern AI technologies for industry readiness.

Industry Mentor

IIIT Bangalore Programme

Frequently Asked Questions

Everything you need to know before you apply — answered clearly

What is the Professional Certificate Programme in Data Science & Agentic AI? Program

The Professional Certificate Programme in Data Science & Agentic AI is a 33-week online programme offered by IIIT Bangalore in partnership with upGrad. It is designed to build expertise in Data Science, Machine Learning, Generative AI, Agentic AI and end-to-end AI deployment through live learning, projects and industry case studies.

Who is eligible to enroll in this programme? Eligibility

The programme is suitable for graduates, working professionals, software developers, data analysts, business analysts and anyone interested in building a career in Data Science, Artificial Intelligence and Agentic AI.

What is the duration of the programme? Program

The programme is delivered over 33 weeks through a combination of live classes, recorded content, workshops, masterclasses and project-based learning.

How are the classes conducted? Learning

The learning experience includes live instructor-led sessions, recorded lectures, mentor support, hands-on coding exercises, workshops, masterclasses and real-world industry projects.

How many live learning hours are included? Learning

Learners receive more than 120 hours of live instructor-led sessions along with 10+ workshops, 10+ masterclasses, industry case studies and project mentoring.

Which programming languages and tools are covered? Curriculum

The curriculum includes Python, SQL, NumPy, Pandas, Power BI, Git, Docker, MLflow, Apache Spark, PySpark, FastAPI, AWS, Google Cloud Platform, Databricks and modern AI development tools.

Does the programme cover Machine Learning and Deep Learning? Curriculum

Yes. Learners study supervised learning, unsupervised learning, regression, classification, clustering, ensemble methods, neural networks, TensorFlow, PyTorch, Computer Vision and Natural Language Processing.

Will I learn Data Engineering? Curriculum

Yes. The programme covers advanced SQL, ETL pipelines, Apache Spark, PySpark, Airflow, dbt, Docker, cloud data platforms and scalable data engineering workflows.

Does the curriculum include Generative AI? Curriculum

Yes. Learners explore Large Language Models (LLMs), Prompt Engineering, OpenAI APIs, Gemini, Claude, Retrieval-Augmented Generation (RAG), embeddings and vector databases.

What is Agentic AI? Curriculum

Agentic AI focuses on autonomous AI systems capable of reasoning, planning, tool usage, workflow automation and multi-agent collaboration to solve complex business problems.

Which Agentic AI frameworks are covered? Curriculum

The programme includes LangChain, LangGraph, CrewAI, LlamaIndex, AI Agents, function calling, multi-agent systems and enterprise AI workflow automation.

How many projects are included? Projects

Learners complete seven hands-on industry projects, multiple case studies and a comprehensive capstone project covering Data Science, Machine Learning and Agentic AI applications.

Will I learn Power BI and Business Intelligence? Curriculum

Yes. The curriculum includes Power BI, DAX, dashboard development, KPI design, data storytelling, executive dashboards and business analytics techniques.

Does the programme cover MLOps? Curriculum

Yes. Learners gain experience with MLflow, Docker, FastAPI, CI/CD pipelines, cloud deployment, model monitoring, model versioning and production AI systems.

Will I receive a certificate after completing the programme? Certification

Yes. Learners who successfully complete all programme requirements receive the Professional Certificate Programme in Data Science & Agentic AI from IIIT Bangalore.

What career support is provided? Career

The programme includes resume building, GitHub portfolio development, interview preparation, career mentoring, networking opportunities and access to the upGrad hiring network.

Which job roles can I pursue after completing this programme? Career

Graduates can pursue careers as Data Scientist, Machine Learning Engineer, Data Engineer, Business Intelligence Analyst, Generative AI Engineer, Agentic AI Engineer, MLOps Engineer, AI Solutions Engineer, Analytics Consultant and AI Product Analyst.

How much is the programme fee? Fees

The total programme fee is ₹99,000 with no taxes applicable. Flexible financing options are available with EMIs starting from ₹4,847 per month for eligible learners.

Why should I choose the IIIT Bangalore Professional Certificate Programme in Data Science & Agentic AI? Program

The programme combines Data Science, Machine Learning, Data Engineering, Power BI, Deep Learning, Generative AI, Agentic AI, MLOps and Cloud Deployment into one comprehensive learning journey. With 120+ live learning hours, 10+ workshops, 30+ industry case studies, seven hands-on projects and an industry capstone, it prepares learners for modern AI and Data Science careers.

Become an Industry-ready Data Scientist & AI Professional

Master Python, SQL, Data Engineering, Power BI, Statistics, Machine Learning, Deep Learning, Generative AI, Agentic AI, MLOps and Cloud Deployment through 120+ live learning hours, 30+ industry case studies, 10+ workshops, 7 hands-on projects and a real-world capstone project.

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