Comprehensive educational resources for Generative AI, LLMs, and practical ML applications

AI bootcamp curriculum covering Python, ML, Deep Learning, GenAI, and Agents—plans, labs, templates, and teaching resources (2026 edition)

GenAI related hands on labs and learnings

Welcome to Ramanux Lab — your one-stop destination to master Math, Machine Learning, NLP, LLMs, and GenAI with absolute clarity

Machine Learning, Deep Learning, Data Analytics, Power BI, GenAI & Azure Cloud projects completed during Microsoft Elevate Internship (GTU 8th Semester) with hands-on labs and real-world implementations.

The Misty Robot Interactive Assistant project is designed to integrate a Misty Robot with Google GenAI for an interactive, conversational experience. The robot is customized to assist users in a Digital Learning Lab (DLL) environment, where it can answer lab-specific questions and engage in general conversations.

🧠 genai-rag-playground A personal learning lab for experimenting with Generative AI, RAG (Retrieval-Augmented Generation), and Streamlit. This repository contains multiple mini-projects and prototypes that explore how to build intelligent applications using Large Language Models (LLMs), vector databases, document retrieval, and modern UIs.

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Hands-on GenAI learning: LLMs, RAG, LangChain, LangGraph, FastAPI

GenAI Learning Platform - Interactive coding labs

Interactive learning repository for exploring cutting-edge Generative AI concepts, techniques, and implementations

This repository contains selected notebooks and codelabs to learn fundamentals and application use cases of GenAI on Cloud

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databricks Machine Learning and GenAI notes and labs

GenAI Labs Builder SA, GenAI Labs as a Comprehensive repository for AWS Generative AI and Agentic AI solutions, architectures, and learning resources

Repository on Codes and Learnings from the Innomatics Research Labs Data Science and GenAI Internship done in August 2024.

Innomatics Research Labs offers a Data Science with GenAI Internship that provides hands-on experience with real-world projects, including data analysis, machine learning, and Generative AI

This repository is my daily **AI/ML practice space**. It contains experiments, demos, and hands-on labs as I study machine learning, data strategy, and GenAI systems.

Public learning journey for the AWS Generative AI Certification. Hands-on labs, bonus assignments, and real-world experiments designed to help others learn and build with AWS GenAI services.

# 🔬 GenAI Prompt Engineering & LLM Evaluation Lab Welcome to my 5-day GenAI learning journal! This repository captures my hands-on work with large language models, prompt engineering, and structured output evaluation. Each day is focused on practical experimentation inspired by industry-grade whitepapers and guided notebooks.

TransfuSense: AI-Powered Assistant for Thalassemia Care A multilingual GenAI-based health assistant designed to support Thalassemia patients, caregivers, and doctors. TransfuSense extracts key lab report data using OCR, summarizes critical metrics, and predicts the next transfusion date using machine learning

A personal Generative AI learning lab exploring LLMs and modern GenAI systems using OpenAI, Hugging Face, Ollama, Groq, and Anthropic. The repository covers core concepts, prompt engineering, LangChain workflows, RAG pipelines, and hands-on experiments, documenting a structured journey from fundamentals to practical LLM-powered applications.

This repo contains my work from the Data Science with GenAI Internship at Innomatics Research Labs, Hyderabad. The internship involves hands-on tasks and project modules related to Data Science, Machine Learning,AI, and Gen AI, designed to strengthen real-world problem-solving skills and practical understanding of industry tools and workflows.

This is my personal learning lab where I build real working code as I study each concept. Every file represents a milestone — from my very first API call to building structured AI chatbots with memory, prompting patterns, and beyond. Goal: Master the full GenAI development stack and build production-ready AI applications on Google Cloud.