Generative AI Course near Visakhapatnam, Hyderabad

End-to-End Q&A Application with OpenAI/Hugging Face

A foundational project covering the complete lifecycle of a Generative AI app — connecting prompt templates to LLMs and deploying the interface using Streamlit..

Conversational Q&A Chatbot with Message History

A chatbot that maintains context across multiple turns using LangChain's memory components, ensuring the model remembers previous user inputs for a natural conversational flow..

RAG Document Q&A

A high-performance RAG pipeline using the Groq inference engine for lightning-fast question-answering over custom documents, leveraging the speed of Llama 3..

Conversational Chat with PDF System

A specialized RAG application that allows users to upload multiple PDF files and ask questions, combining document loaders, text splitters, and vector storage to provide accurate citations from source text..

PDF Query RAG with AstraDB

A production-ready RAG system using AstraDB as a cloud-native vector database, focusing on scalable data retrieval beyond local vector stores..

Search Engine with LangChain Tools and Agents

An autonomous agent that browses the web to answer real-time queries, integrating tools like Arxiv, Wikipedia, and DuckDuckGo to provide answers beyond the model's training data..

Chat with SQL Databases

Uses the LangChain SQL Toolkit to enable natural language querying of structured data — the agent translates user questions into SQL queries, executes them, and summarizes the results..

Text-to-Math Problem Solver using Google Gemma 2

An assistant built with the Gemma 2 model and specialized math tools to solve complex word problems, highlighting how to constrain LLMs to specific reasoning tasks and calculation tools..

Multi-Strategy Text Summarization

Explores different summarization architectures including Stuff, Map-Reduce, and Refine chains — covering which strategy best suits documents of varying lengths and complexities..

YouTube Video and Website URL Summarizer

A practical tool that extracts transcriptions from YouTube videos or text from URLs to generate concise summaries, handling unstructured web data end-to-end..

Stateful Multi-Actor Applications with LangGraph

Introduces agentic workflows where multiple actors collaborate to solve a task, covering state management and persistence in complex, non-linear AI applications..

End-to-End LLM Fine-Tuning with Lamini

A deep dive into model optimization — fine-tuning a large language model on a specific dataset, covering training data preparation and technical execution to improve performance on specialized tasks..