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Executive Post Graduate Programme in Applied AI and Agentic AI

    The only program that takes you from Applied AI foundations to deploying AI Agents in production.

    Join IIIT Bangalore alumni network of AI Experts at Amazon, HSBC, ICICI, Kotak, Microsoft, Jio, Swiggy, and more.

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Join 10k+ alumni

4.5/5 (7812 ratings)

Don’t just build AI agents - deploy them and let them work for you

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Dual Architecture - Applied AI + Agentic AI

Production first - Every module ends with deployment

Agentic AI Depth - Learn how agents think, plan, and act algorithm-first

Build agents across 12+ domains like Retail, BFSI, Healthcare and more

Gain Executive Alumni status from IIIT Bangalore

AI Strategy Immersion at Microsoft - Insider access to Microsoft Garage

EPGP in Applied AI & Agentic AI: Build What’s Next

240+

Hours of Content

8+

Projects

2

Industry-Grade Capstones

Two Parts. One Transformation Master both Applied AI & Agentic AI

Master Applied AI - ML API in production with monitoring & cost controls

Master Agentic AI - Multi-agent RAG platform across industries & domains

Tools Powering Modern AI - Learn 32+ cutting edge tools across LangChain, LlamaIndex, LangGraph, and more

Trusted IIITB Advantage - Earn an Executive IIITB alumni status

Microsoft Advantage - Earn a Microsoft-recognized certificate and gain exclusive immersion experience inside one of the world’s leading AI innovation hubs

Job-Ready Portfolio - Build a portfolio of AI agents, deployed systems & executive-grade ROI/business documentation

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Need to know more?

Get all the details you need about the Executive Post Graduate Programme in Applied AI and Agentic AI, whenever you want them.

EPGP Applied AI & Agentic AI: Learning Path

Go From AI-ML foundation to AI-Agent Deployment in 30 weeks

01

AI Foundation (Weeks 1–9)

Build a strong AI engineering foundation to prepare for ML & agentic AI development

02

ML + Deployment Basics (Weeks 10–15)

Learn to deploy machine learning & AI systems in production

03

BuildAutonomousAgents(Weeks 16–30)

Master agentic AI - build autonomous AI agents and multi-agent systems

04

Agent Deployment (Weeks 29–30)

Deploy enterprise-ready AI agents + build a proof-of-skills portfolio

EPGP Applied AI & Agentic AI Curriculum

Comprehensive Curriculum: Learn.Deploy.Scale

Foundations & Data Engineering

Module 1

4 Weeks

Build production-ready data pipelines and SQL backends.

Key Topics

Python OOP

Pandas advanced

SQL joins/CTEs/windows

Feature engineering

Scaling/encoding

Pipeline automation

EDA methodology

Matplotlib/Seaborn

Git/GitHub

Business communication

Stakeholder presentations

Sample Projects

Weekly sales & margin pipeline

Cohort retention table

Feature engineering competition

SQL backend for revenue dashboard

Machine Learning & Deep Learning

Module 2

5 Weeks

Train, interpret, and deploy ML/DL models for business impact

Key Topics

Linear/logistic regression

Trees/boosting (XGBoost/LightGBM)

Model evaluation

SHAP/LIME interpretability

SVM/ensembles

Clustering/PCA/UMAP

Neural nets from scratch

Backpropagation

CNNs/transfer learning

RNNs/LSTMs

Transformers/attention

BERT/GPT

Time series (ARIMA/Prophet)

Sample Projects

Churn model with SHAP report

Image classifier via transfer learning

NLP sentiment with transformers

Time series forecasting

Customer segmentation with clustering

MLOps & Production Systems

Module 3

5 Weeks

Deploy ML with monitoring, cost control, and governance

Key Topics

AWS (S3/IAM/VPC/Glue/Athena/Redshift)

SageMaker training/HPO

MLflow tracking

Docker containerization

FastAPI serving

A/B testing

Model drift detection

Monitoring dashboards

Fairness/bias

Governance/audit

ROI calculation

Stakeholder communication

Sample Projects

Cloud data pipeline

Distributed training

Dockerized API

MLOps pipeline with monitoring

Executive ROI presentation

Capstone A - End-to-End ML System

MODULE 4

Tracks

Predictive Maintenance

Customer Intelligence

Deliverables

GitHub repo

AWS deployment

Monitoring dashboard

Defense deck

|ROI document

Security & cost checklists (must pass)

LLM Foundations & RAG Systems

Module 5

3 Weeks

Build production RAG with governance and cost optimization

Key Topics

LLM architecture/scaling laws

OpenAI/Anthropic/Google APIs

Token economics/cost optimization

Prompt engineering (few-shot/ReAct)

Embeddings/similarity

Vector DBs (Pinecone/Weaviate/Chroma)

Hybrid search

Chunking strategies

RAG patterns

Query rewriting

Multi-hop reasoning

Citation/attribution

Retrieval governance

RAG evaluation

Sample Projects

Prompt engineering challenge

RAG prototype with metrics

Production RAG API with citations and governance

Agent Frameworks & Orchestration

Module 6

5 Weeks

Design multi-agent systems with planning and supervision

Key Topics

Agent types/capabilities

ReAct pattern

Tool use/function calling

Memory systems

Planning/goal decomposition

LangChain (chains/agents/tools/memory)

LangGraph (state/routing/supervision)

LlamaIndex (indices/routers/multi-doc)

AutoGen (collaboration/consensus)

CrewAI (production/delegation)

Telemetry/observability

SLOs/error budgets

Sample Projects

Agent architecture design

LangChain app with tools

LlamaIndex multi-doc system

AutoGen collaboration

CrewAI production crew

Fine-Tuning, Scale & Production

Module 7

5 Weeks

Tune models, harden security, deploy at scale

Key Topics

Fine-tuning strategies

LoRA/QLoRA/PEFT

Dataset prep/quality

Evaluation/benchmarking

AWS Bedrock/SageMaker

Ray Serve scaling

Load balancing

Caching/optimization

CI/CD (GitHub Actions)

Blue-green/canary deploys

Prompt injection defense

Privacy/audit logging

IAM/security

Red team testing

EU AI Act compliance

Human-in-the-loop

Cost optimization

Sample Projects

Fine-tuning with LoRA

Bedrock deployment

CI/CD pipeline

Security red team drill

Cost optimization report

Capstone B - Production Agentic AI System

Module 8

Tracks

Enterprise Assistant

Autonomous Research

Business Operations

Deliverables

Architecture diagram

GitHub repo

AWS Bedrock deployment

RAG with governance

Monitoring dashboard

Cost report

Security review

Defense presentation

Security & cost checklists (must pass)

AWS to LangChain - 32+ Tools, One Programme

Python

Python

Pandas

Pandas

Numpy

MySQL

MySQL

Jupyter

GitHub

Matplotlib

Seaborn

Plotly

Scitkit Learn

XG Boost

LightGBM

Tensorflow

PyTorch

Hugging Face

LlamaIndex

LlamaIndex

LangGraph

LangGraph

CrewAI

CrewAI

Autogen

Autogen

AWS

Docker

Docker

OpenAI

Streamlit

Streamlit

Airflow

Airflow

MLFlow

MLFlow

Plotly

S3

Glue

Redshift

SageMaker

Bedrock

Lambda

FastAPI

GitHub Actions

Terraform

LangChain

Chroma

AutoGen

Anthropic

Pinecone

Chroma Weights & Biases

Google APIs

Weaviate

Build Agents Across 12+ Domains

Build Real-World AI Agents. Deploy Them Across Domains

Build Agents Across 12+ Domains

    Healthcare & Life Sciences: Autonomous Clinical Trial Recruitment Agent

    BFSI: AI Compliance Officer for Financial Reporting

    Retail & E-commerce: Hyper-Personalized Conversational Shopping Agent

    Manufacturing & Supply Chain: Autonomous Supply Chain Disruption Response Crew

    Media & Entertainment: AI-Powered Content Strategy & Generation Pipeline

    Education (EdTech): Adaptive AI Tutor for Personalized Learning Paths

    Real Estate & PropTech: AI Agent for Property Valuation and Market Analysis

    Energy & Utilities: Predictive Grid Management Agent Crew

    Automotive: Autonomous Vehicle Sensor Data Analysis Crew

    LegalTech: AI Paralegal for e-Discovery and Case Law Research

    Agriculture (AgriTech): AI-Powered Precision Farming Operations Agent

    Hospitality & Travel: Autonomous Travel Concierge and Itinerary Planner

Projects: EPGP in Applied AI & Agentic AI

Learn by doing projects across Industries: Your Portfolio = Proof

Work on solving real world data challenges from top brands

30+

Projects to choose from

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Conversational AI

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Amazon - E-commerce & Customer Experience

Tuning a Multilingual Chatbot for an Indian E-commerce Giant 

Skills learned

Multilingual NLP

Conversational AI

Predictive Analytics

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NSE - FinTech & Capital Markets 

Building an Autonomous Trading Intelligence Crew for the NSE  

Skills learned

Algorithmic Trading

Predictive Analytics

Clinical AI

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ICMR - Healthcare & MedTech

AI-Powered Risk Stratification for Indian Healthcare 

Skills learned

Predictive Modeling

Clinical AI

Document Summarization

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India Law - LegalTech & Professional Services

Creating an AI Legal Assistant for Indian Law 

Skills learned

Legal NLP

Document Summarization

API Deployment

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Swiggy - Logistics & On-Demand Delivery

Deploying a Real-Time Delivery Prediction API for Swiggy  

Skills learned

ETA Prediction

API Deployment

Data Visualization

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Zomato - FoodTech & Hyperlocal Services

Building a Market-Entry Strategy Dashboard for Zomato 

Skills learned

Market Analytics

Data Visualization

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What Will You Build?

See the practical work that has helped our learners land roles at top companies

EPGP in Applied AI & Agentic AI Certification

Earn an Applied AI & Agentic AI certificate from the globally recognized IIIT-B along with its executive alumni status.

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Executive Post Graduate Programme in Applied AI and Agentic AI

01

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Microsoft Certificate

Earn a Professional Certificate in “Generative AI Professional Programme” from Microsoft

02

PG Diploma in DS & AI: Faculty & Industry Expert

Learn from the best of industry and academia

5

Instructors

10

Industry Experts

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Dr. C. Ramanathan

Dean of Academics

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With a Ph.D. from MSU and 25+ years of Data & Software Engineering experience, Prof. C.R. is ranked amongst the top data academicians in India.

LinkedIn ProfileLinkedin
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Dr. Debabrata Das

Director of IIITB

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With over 210 peer-reviewed papers and 7 patents, Dr. Das has multiple global and Indian IEEE awards, and was its India Chair in 2023 and 2024.

IIITB Profile
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Dr. G. Srinivasaraghavan

Professor

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With a Ph.D. from IIT Kanpur and 30+ years of experience in microelectronics and VLSI design, Prof. G. Srinivasaraghavan has led cutting-edge innovation across academia and industry.

LinkedIn ProfileLinkedin
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Dr. Tricha Anjali

Ex-Associate Dean

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With a Ph.D. from Georgia Tech and an Integrated M.Tech from IIT Bombay, Prof. Tricha Anjali brings 13+ years of global experience in data analytics and tech implementation across industries.

LinkedIn ProfileLinkedin
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Dr. Srinath Srinivasa

Professor & Dean (R&D)

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Srinath Srinivasa heads the Web Science lab and is the Dean (R&D) at IIIT Bangalore, India.

Linkedin ProfileLinkedin

AI Immersion at Microsoft, Go Beyond Theory

In this exclusive, hands-on immersion led by Microsoft experts, you’ll master advanced , AI-powered collaboration & automation tools, build muscle memory with real-world Microsoft applications, gain insider strategies directly from the creators of the technology. Explore Microsoft Garage - the hub where breakthrough AI ideas are built.

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Experience: EPGP in Applied AI & Agentic AI

We will be there right through your learning journey

Hands-on learning

    Videos from top faculty and world-class industry experts

    Built-in practice and coding console

    Industry-oriented projects for real DS & ML exposure

    Live interventions from faculty and industry experts

    Real time doubt clearing sessions

EPGP in Applied AI & Agentic AI Course Fees

Invest In Your Success

7 Months
Starting at
INR 5,631/month
Totally INR 1,25,000*Incl. Taxes

Inclusions

Pay INR 10,000 and block your seat Now!
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Eligibility

EPGP in Applied AI & Agentic AI Eligibility

The admissions process for this EPGP in Applied AI & Agentic AI is very easy, and can be done completely online

Eligibility

Bachelor's or master's Degree or its equivalent in any discipline with minimum 50% aggregate mark or equivalent CGPA |  

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Complete Application

Fill out an application form giving your basic profile details.

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Offer Letter & Reserve Seat

Receive an offer letter and pay ₹10,000 to reserve a seat.

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Payment

Remaining balance to be paid within 7 days or batch start date whichever comes sooner.

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Disclaimer

  1. The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.

  2. The student assumes full responsibility for all expenses associated with visas, travel, & related costs. upGrad does not .