PGP – Applied AI & Agentic AI (IIIT Bangalore)

Project portfolio from the Executive Post Graduate Programme in Applied AI and Agentic AI — IIIT Bangalore × upGrad. Focus: LLMs, RAG, agentic workflows, multi-agent systems, and production deployment.

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🎯 About the Programme

• Duration: 30 weeks · 240+ hours · 8+ projects · 2 industry capstones
• Focus: Applied AI (ML, MLOps, deployment) + Agentic AI (agents, planning, multi-agent systems)
• Outcomes: IIIT Bangalore Executive Certificate · Microsoft-recognized credential · Executive alumni status

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⚡ Quick Start

git clone https://github.com/ananttripathi/PGP-Applied-AI-Agentic-AI-IIITB.git
cd PGP-Applied-AI-Agentic-AI-IIITB

Each project lives in projects/ with its own README, code, and setup instructions. See CONTRIBUTING.md for how to add or run projects.

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📁 Repository Structure

PGP-Applied-AI-Agentic-AI-IIITB/
├── README.md
├── LICENSE
├── CONTRIBUTING.md
└── projects/                    # Course projects & capstones
    ├── README.md                # Index of projects
    ├── module-*/                # e.g. module-rag, module-agents, capstone-a, capstone-b
    │   ├── README.md
    │   ├── requirements.txt
    │   └── ...
    └── ...

(Add your course projects under projects/ as you complete them.)

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🛠️ Tech Stack & Tools (from curriculum)

Area	Tools
LLMs & APIs	OpenAI, Anthropic, Google; AWS Bedrock
RAG & Search	LangChain, LlamaIndex; Pinecone, Weaviate, Chroma; embeddings, chunking
Agentic AI	LangChain (chains, agents, tools, memory), LangGraph, CrewAI, AutoGen
ML & MLOps	Scikit-learn, XGBoost, TensorFlow, PyTorch; MLflow, SageMaker; Docker, FastAPI
Data & Infra	Python, Pandas, SQL; AWS (S3, Glue, Athena, Redshift); GitHub Actions, Terraform

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📂 Curriculum Overview (high level)

1. AI Foundation – Data engineering, Python, SQL, EDA
2. ML + Deployment – Classical ML, DL, MLOps, SageMaker, FastAPI
3. Capstone A – End-to-end ML system (e.g. predictive maintenance, customer intelligence)
4. LLM & RAG – Prompting, embeddings, vector DBs, RAG patterns, retrieval governance
5. Agentic AI – ReAct, tool use, planning; LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen
6. Fine-tuning & Production – LoRA/QLoRA, evaluation; AWS Bedrock, Ray, CI/CD, security
7. Capstone B – Production agentic system (e.g. enterprise assistant, autonomous research, operations)

Full syllabus

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🏷️ Domains Covered

Healthcare · BFSI · Retail · Manufacturing · Media · EdTech · Real Estate · Energy · Automotive · LegalTech · AgriTech · Hospitality

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👤 Author

Co-author: ananttripathiak

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📄 License

This project is licensed under the MIT License.

Suggested GitHub topics: iiitb applied-ai agentic-ai langchain llamaindex rag llms upgrad machine-learning

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📬 Contact

Open a GitHub Issue for questions or suggestions.