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The Agentic AI revolution is here
Companies today need to deploy large language models (LLMs) in production, build autonomous agents, and scale AI initiatives efficiently. The focus is increasingly on implementing Retrieval-Augmented Generation (RAG) using enterprise data to enable secure and context-aware AI systems.
Program Highlights:
- Designed to give dual transformation
Master both sides of modern AI leadership — Applied AI, where you deploy and monitor ML APIs efficiently, and Agentic AI, where you design secure, multi-agent RAG systems with measurable ROI.
- Hands-on Learning:
10+ Masterclasses, 10+ Workshops, 30+ case studies and projects, 15+ Industry Tools, 2 Capstone Projects
- Build Agents Across 12+ Domains
Healthcare & Life Sciences, BFSI, Retail & E-commerce, Manufacturing & Supply Chain, Media & Entertainment, Education (EdTech), Real Estate & PropTech, Energy & Utilities, Automotive, LegalTech, Agriculture (AgriTech), and Hospitality & Travel.
- Microsoft-Certified Advantage:
Earn industry backed certification from upGrad in association with Microsoft by completing specially designed modules integrated into the program + a hands-on immersion with Microsoft experts in Bengaluru
The question isn't whether AI will transform your industry. It's whether you'll build the systems— or be replaced by them. Master the industry’s most in-demand tools from Python to LangChain and build systems that run in real-world production.
Module 1: Foundations & Data Engineering
Build production-ready data pipelines and SQL backends
Module 2: Machine Learning & Deep Learning
Train, interpret, and deploy ML/DL models for business impact
Module 3: Mlops & Production Systems
Deploy ML with monitoring, cost control, and governance
Capstone A: End-To-End Ml System
Tracks: Predictive Maintenance OR Customer Intelligence
Deliverables: GitHub repo | AWS deployment | Monitoring dashboard | Defense deck | ROI document | Security & cost checklists (must pass)
Module 4: LLM Foundations & Rag Systems
Build production RAG with governance and cost optimization
Module 5: Agent Frameworks & Orchestration
Design multi-agent systems with planning and supervision
Module 6: Fine-Tuning, Scale & Production
Tune models, harden security, deploy at scale
Capstone B: Production Agentic AI System
Tracks: Enterprise Assistant OR Autonomous Research OR 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)
Tools you will learn
Python, MySQL, Power BI, Tableau, Github, mlFlow, LangChain, OpenAI, Pandas, Azure, Looker, Plotly, Numpy, seaborn, statsmodels and many more
What is the Executive Post Graduate Programme in Applied AI and Agentic AI?
This 30-week program by IIIT Bangalore is designed to help professionals master the entire AI spectrum—from building production-ready Applied AI systems to designing autonomous, multi-agent Agentic AI platforms. It bridges the gap between machine learning development and real-world deployment, enabling you to design, monitor, and scale AI systems that deliver measurable business ROI.
What should I expect from the Executive Post Graduate Programme in Applied AI and Agentic AI ?
This programme will help you build three competitive advantages:
1. Dual Architecture
- Applied AI + Agentic AI in one programme
- Build churn models and autonomous agent crews
- Prove versatility hiring managers want
2. Production-First
- Every module ends with deployment.
- ML API on AWS with monitoring. Multi-agent platform in production
- Portfolio = Live URLs, not notebooks
3. Agentic AI Depth
- 15 weeks on autonomous agents (most programmes: 0-2 weeks)
- LangChain · LangGraph · AutoGen · CrewAI
- Production patterns for 2025 job market (30–40% premium roles)
What topics are going to be covered as part of the program?
The curriculum is divided into six modules across Applied AI (Weeks 1–15) and Agentic AI (Weeks 16–30):
- Foundations & Data Engineering: Python, SQL, feature engineering, pipelines, and EDA.
- Machine Learning & Deep Learning: Regression, boosting, CNNs, transformers, NLP, and time-series forecasting.
- MLOps & Production Systems: AWS, Docker, SageMaker, MLflow, FastAPI, monitoring, governance, and ROI tracking.
- LLM Foundations & RAG Systems: Prompt engineering, embeddings, vector DBs, hybrid search, and retrieval governance.
- Agent Frameworks & Orchestration: LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI, planning, and multi-agent orchestration.
- Fine-Tuning, Scale & Security: LoRA, Bedrock, CI/CD, cost optimization, compliance, and privacy-by-design
Learners also complete two industry-grade capstones—one in ML system deployment and one in agentic platform development—building a demonstrable portfolio of real-world AI systems.
Can I sign up only for a few specific modules if I am interested?
No, the program is designed to be completed in its entirety, and cannot be taken as standalone modules.
What type of learning experience should I expect?
The content will be a blend of asynchronous and synchronous sessions, consisting of interactive lectures from industry leaders and world-renowned faculty. The program also offers doubt resolution sessions for solving your academic queries and reinforcing learning.
What is the time commitment expected for the programme?
At least 7-8 hours per week of time commitment is recommended to extract the maximum value from the program.
Is there any certification granted at the end of the program?
Post completion of the program, you will be awarded a certificate of successful completion from IIIT Bangalore
How do I know if the program is right for me?
This programme is best suited for AI, data science, and software professionals looking to move beyond experimentation and into real-world deployment of AI systems. It’s ideal for machine learning engineers, data scientists, software developers, solution architects, and tech leads who want to learn how to deploy, scale, and manage AI models and multi-agent systems in production. Product managers, consultants, and CXOs driving AI strategy will also find it valuable, as it builds the capability to connect technical execution with business outcomes — from ML monitoring and cost control to building autonomous, ROI-driven AI platforms.
Is there any minimum educational qualification required to take this programme?
Bachelor's or master's Degree or its equivalent in any discipline with minimum 50% aggregate mark or equivalent CGPA
What is the application process and what are the timelines?
What is the selection process for this programme?
Once your application is submitted, it will be reviewed by the admissions committee. If found to be fulfilling the eligibility criteria, you will receive the Offer Letter, upon which you can then pay the required fee and enroll in the program.
What is the programme fee for the Executive Post Graduate Programme in Applied AI and Agentic AI?
The programme is priced at INR 1,25,000/- inclusive of taxes with various flexible payment options.





