Building AI Browser Agents
This workshop focuses on building AI agents that interact with websites and perform tasks like filling forms, booking tickets or placing an online order.
Creating event driven agentic document workflows
In this course we will build an agentic document workflow to automatically fill form templates from source document.
Agentic RAG powered Chat Bot for customer support
Here we will built a context-enabled agentic RAG LLM based chatbot that will answer all customer queries related to product and services.
Building AI agents for Database
Here we will develop an AI agent that interacts with databases using natural language, simplifying the process for querying and extracting insights.
LLM fine-tuning for medical domain
This workshop includes training or finetuning a more lightweight version of a LLM for specific tasks or ontology domains.
Extracting structured output from documents using LLM
In this workshop a PDF based Q&A solution will be devloped from scratch, where user can ask question to PDF and get answers.
Creating Graph DB AI agents for applying GraphRAG
This workshop focuses on how to enhances the performance of RAG LLM by adding external knowledge base.
Building Knowledge Graph from documents
Here we will built a pipeline to convert unstructured text data into a graph representation of knowledge base.
Building custom NER for medical domain
This workshop will focus on creating specialized NER model trained on medical texts to identify medical entities and extract relationship among them.
Fine tuning Embedding model for domain specific search
In this course we will fine-tune a BERT models with medical data that can understand medical terminology and answer medical questions more accurately.