DBA
Education
MBA
Data Science and Analytics
Machine Learning and AI
Management
Accounting and Finance
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Tuning a Multilingual Chatbot for an Indian E-commerce Giant
Master both Applied AI & Agentic AI
Executive Post Graduate Programme in Applied AI and Agentic AI
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Join 10k+ alumni
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Type
Executive Certificate
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Duration
30 Weeks
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Start Date
March 31, 2026
Key Highlights: EPGP in Applied AI & Agentic AI
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Dual Architecture - Applied AI + Agentic AI
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Production first - Every module ends with deployment
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Agentic AI Depth - Learn how agents think, plan, and act algorithm - first
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Build agents across 12+ domains like Retail, BFSI, Healthcare and more
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Gain Executive Alumni status from IIIT Bangalore
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32+ Tools Powering Modern AI
EPGP in Applied AI & Agentic AI: Build What’s Next
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240+
Hours of Content
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8+
Projects
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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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EPGP Applied AI & Agentic AI Curriculum
Foundations & Data Engineering
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
Machine Learning & Deep Learning
- 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)
MLOps & Production Systems
- 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
Capstone A - End-to-End ML System
- 1 Week
- Tracks: Predictive Maintenance and Customer Intelligence
Deliverables
- GitHub repo
- AWS deployment
- Monitoring dashboard
- Defense deck
- ROI document
- Security & cost checklists (must pass)
LLM Foundations & RAG Systems
- 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
Agent Frameworks & Orchestration
- 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
Fine-Tuning, Scale & Production
- 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
Capstone B - Production Agentic AI System
- 1 Week
- Tracks: Enterprise Assistant, Autonomous Research, and 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
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Build Real-World AI Agents. Deploy Them Across Domains
Industry Domains Covered
- 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
Work on solving real world data challenges from top brands
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30+ Industry Projects
Amazon - E-commerce & Customer Experience
Tuning a Multilingual Chatbot for an Indian E-commerce Giant
Skills learned
- Multilingual NLP
- Conversational AI
NSE - FinTech & Capital Markets
Building an Autonomous Trading Intelligence Crew for the NSE
Building an Autonomous Trading Intelligence Crew for the NSE
Skills learned
- Algorithmic Trading
- Predictive Analytics
ICMR - Healthcare & MedTech
AI-Powered Risk Stratification for Indian Healthcare
AI-Powered Risk Stratification for Indian Healthcare
Skills learned
- Predictive Modeling
- Clinical AI
India Law - LegalTech & Professional Services
Creating an AI Legal Assistant for Indian Law
Creating an AI Legal Assistant for Indian Law
Skills learned
- Legal NLP
- Document Summarization
Swiggy - Logistics & On-Demand Delivery
Deploying a Real-Time Delivery Prediction API for Swiggy
Deploying a Real-Time Delivery Prediction API for Swiggy
Skills learned
- ETA Prediction
- API Deployment
Zomato - FoodTech & Hyperlocal Services
Building a Market-Entry Strategy Dashboard for Zomato
Building a Market-Entry Strategy Dashboard for Zomato
Skills learned
- Market Analytics
- Data Visualization
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.
EPGP in Applied AI & Agentic AI: Faculty & Industry Expert
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5 Instructors
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10 Industry Mentors
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Prof. Chandrashekar Ramanathan
Dean - Academics-
Prof. Chandrashekar has a Ph.D. from Mississippi State University and experience of over 10 years in several multinational organizations.
Prof. Chandrashekar has a Ph.D. from Mississippi State University and experience of over 10 years in several multinational organizations.
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Dr. Debabrata Das
- Director of IIITB
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Dr. Debabrata Das is director of IIITB. He has received his PhD from IIT-KGP. His main areas of research are IoT and Wireless Access Network.
Dr. Debabrata Das is director of IIITB. He has received his PhD from IIT-KGP. His main areas of research are IoT and Wireless Access Network.
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Prof. G. Srinivasaraghavan
- Professor
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Prof. Srinivasaraghavan has a Ph.D. in Computer Science from IIT Kanpur and 18 years of experience with Infosys and several other MNCs.
Prof. Srinivasaraghavan has a Ph.D. in Computer Science from IIT Kanpur and 18 years of experience with Infosys and several other MNCs.
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LinkedIn Profile .webp?width=678&height=428&name=Tricha%20Anjali-db14fdf758554872a5a158d049d455fc%20(1).webp)
Prof. Tricha Anjali
- Ex-associate Dean
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Prof. Anjali has 13+ years of experience, a PhD from Georgia Institute of Technology as well as an Integrated Mtech (LL) from IIT Bombay.
Prof. Anjali has 13+ years of experience, a PhD from Georgia Institute of Technology as well as an Integrated Mtech (LL) from IIT Bombay.
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LinkedIn Profile 
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.
Srinath Srinivasa heads the Web Science lab and is the Dean (R&D) at IIIT Bangalore, India.
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LinkedIn Profile 
Abhishek Vijayvargia
- Senior Data Scientist
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Having worked with Microsoft as a Senior Data Scientist, he is an alumnus of IIT Kharagpur with 10+ years of experience in a Data Science domain.
Having worked with Microsoft as a Senior Data Scientist, he is an alumnus of IIT Kharagpur with 10+ years of experience in a Data Science domain.
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LinkedIn Profile 
S. Anand
- LLM Psychologist
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An alumnus of IIT Madras, IIM Bangalore and LBS London, Anand is among the top 10 data scientists in India with 20 years of experience.
An alumnus of IIT Madras, IIM Bangalore and LBS London, Anand is among the top 10 data scientists in India with 20 years of experience.
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LinkedIn Profile 
Manish Shukla
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- Head of Generative AI
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Leading cutting-edge GenAI platform development at NatWest Group. Expertise in OpenAI products and MLOps for optimisation of operational efficiency and seamless project delivery with high user satisfaction.
Leading cutting-edge GenAI platform development at NatWest Group. Expertise in OpenAI products and MLOps for optimisation of operational efficiency and seamless project delivery with high user satisfaction.
Read More
LinkedIn Profile 
Deependra Singh
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- VP & Head of Data Science
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Over 15 years of experience in leading analytics practices, data science, deep learning, and AI product development. Successfully led teams at Junglee Games, American Express Digital Business, and National Insurance Company, pioneering key projects like the analytics engine for the GOI PMJAY policy. Respected speaker at top educational institutes like IMT Hyderabad, BIT Mesra, and NMIMS.
Over 15 years of experience in leading analytics practices, data science, deep learning, and AI product development. Successfully led teams at Junglee Games, American Express Digital Business, and National Insurance Company, pioneering key projects like the analytics engine for the GOI PMJAY policy. Respected speaker at top educational institutes like IMT Hyderabad, BIT Mesra, and NMIMS.
Read More
LinkedIn Profile 
Sajan Kedia
- Ex- Data Science Lead
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He is graduated from IIT, BHU and has tons of experience in Data Science, Big Data, Spark, Machine Learning and Natural Language Processing.
He is graduated from IIT, BHU and has tons of experience in Data Science, Big Data, Spark, Machine Learning and Natural Language Processing.
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LinkedIn Profile 
Mirza Rahim Baig
- Lead Analyst
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He is a Veteran Professional with 10+ years of experience in applications of data science, machine learning in e-commerce and healthcare.
He is a Veteran Professional with 10+ years of experience in applications of data science, machine learning in e-commerce and healthcare.
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LinkedIn Profile 
Kautuk Pandey
- Professional in Big Data, AWS, Pyspark
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Kautuk has 10+ years of experience working in Data Science. He is a seasoned professional in Big Data, AWS, Pyspark and other technologies.
Kautuk has 10+ years of experience working in Data Science. He is a seasoned professional in Big Data, AWS, Pyspark and other technologies.
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LinkedIn Profile 
Ujjyaini Mitra
- Head of analytics
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An alumnus of McKinsey and Co, Flipkart and Bharati Airtel with over 11 years of experience.
An alumnus of McKinsey and Co, Flipkart and Bharati Airtel with over 11 years of experience.
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LinkedIn Profile 
Ankit Jain
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- Alumnus of IIT Bombay
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An alumnus of IIT Bombay, UCB, and HBS with over 9 years of experience. Ankit has been recognised as 40 under 40 Data Scientist for 2022.
An alumnus of IIT Bombay, UCB, and HBS with over 9 years of experience. Ankit has been recognised as 40 under 40 Data Scientist for 2022.
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LinkedIn Profile 
Rajesh Sabapathy
- Chief Data Scientist, Health-tech Start-up
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Rajesh has 10+ years of experience leading Data Science teams in various domains solving complex problems using Deep Learning & ML technique
Rajesh has 10+ years of experience leading Data Science teams in various domains solving complex problems using Deep Learning & ML technique
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LinkedIn Profile Success stories
What Our Learners Say
Updated with the latest industry practices and trends
My transformative journey with upGrad has been nothing short of remarkable. The program provided me with a comprehensive learning experience that equipped me with the latest tools and skills used in the industry. From design to publishing, I learned how to navigate through every stage of a project efficiently. One aspect that particularly impressed me was the platform itself. It's user-friendly and constantly evolving based on student feedback, ensuring that we have access to the best resources and learning materials available. The live classes conducted by industry professionals were invaluable, keeping me updated with the latest industry practices and trends. Overall, I am extremely satisfied with what I've learned through upGrad. It's not just about acquiring knowledge but also about connecting with professionals and building a network that will be beneficial for my career growth. I am truly grateful for the opportunity to be a part of this transformative journey with upGrad.
My transformative journey with upGrad has been nothing short of remarkable. The program provided me with a comprehensive learning experience that equipped me with the latest tools and skills used in the industry. From design to publishing, I learned how to navigate through every stage of a project efficiently. One aspect that particularly impressed me was the platform itself. It's user-friendly and constantly evolving based on student feedback, ensuring that we have access to the best resources and learning materials available. The live classes conducted by industry professionals were invaluable, keeping me updated with the latest industry practices and trends. Overall, I am extremely satisfied with what I've learned through upGrad. It's not just about acquiring knowledge but also about connecting with professionals and building a network that will be beneficial for my career growth. I am truly grateful for the opportunity to be a part of this transformative journey with upGrad. Read More
Cassandra Pratt Romero
-
Software Engineer at Microsoft
-
6 Years of Experience
The urge to upskill myself led me to join this program
The urge to upskill myself led me to join this program. The program has been really great and has instilled a sense of confidence in me. The idea that I am part of something that is going to bring a revolution in the near future is incredible. Post upGrad, I plan to continue my journey into the vast ocean of Artificial Intelligence and make a good name for myself.
The urge to upskill myself led me to join this program. The program has been really great and has instilled a sense of confidence in me. The idea that I am part of something that is going to bring a revolution in the near future is incredible. Post upGrad, I plan to continue my journey into the vast ocean of Artificial Intelligence and make a good name for myself. Read More
Atul Chauhan
-
Applied Controls Engineer at Daikin
-
8 Years of Experience
The progress in AI and ML in the last decade sparked my curiosity about this topic
The progress in AI and ML in the last decade sparked my curiosity about this topic. The upGrad program looked well planned and built, with a reasonable price. The offline mode of education allowed me to study and learn while working at my job. During my learning journey with upGrad, I reinforced and learned new concepts that I plan to apply in my daily and professional life. In the future, I will continue working and learning about these topics and applying them to my jobs.
The progress in AI and ML in the last decade sparked my curiosity about this topic. The upGrad program looked well planned and built, with a reasonable price. The offline mode of education allowed me to study and learn while working at my job. During my learning journey with upGrad, I reinforced and learned new concepts that I plan to apply in my daily and professional life. In the future, I will continue working and learning about these topics and applying them to my jobs. Read More
Jheser Guzman Illanes
-
Vice President of Software Engineering at JPMorgan Chase & Co.
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18 Years of Experience
It was a fantastic journey so far with the support of upGrad team
I wanted to get into the ML\AI space for some time and decided to enroll in upGrad after being inspired by a friend. It was a fantastic journey so far with the support of upGrad team (special kudos to Karen for the excellent job) and I never imagined that I could make it this far as I am a pretty occupied individual personally as well as professionally. I am looking forward to completing my master's and pursue PhD in the near future. The foundation provided was fabulous and has enabled me to do design some innovative solutions at work. Thanks to upGrad for making it happen.
I wanted to get into the ML\AI space for some time and decided to enroll in upGrad after being inspired by a friend. It was a fantastic journey so far with the support of upGrad team (special kudos to Karen for the excellent job) and I never imagined that I could make it this far as I am a pretty occupied individual personally as well as professionally. I am looking forward to completing my master's and pursue PhD in the near future. The foundation provided was fabulous and has enabled me to do design some innovative solutions at work. Thanks to upGrad for making it happen. Read More
Vsmy Naresh Kumar Kuppili
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Solution Architect at Image Access Corp
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11 Years of Experience
Program Fees: USD 1,500
The tuition fee is subject to annual revision effective January 2026.
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 from an accredited University with minimum 50% aggregate marks or equivalent CGPA.
Complete Application
Fill out an application giving your basic profile details.
Fill out an application giving your basic profile details.
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Offer Letter & Reserve your Seat
Receive an offer letter and pay the caution amount to reserve a seat.
Receive an offer letter and pay the caution amount to reserve a seat.
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Payment
Rest balance to be closed within 7 days or batch start date whichever is sooner.
Rest balance to be closed within 7 days or batch start date whichever is sooner.
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Available from 9 AM to 8 PM GMT (Monday - Friday).
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