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In this LLM project, you will build a Streamlit Chatbot integrated with Langchain technology for natural language interactions with a SQL database, facilitating real-time visualization and insightful insights, streamlining data exploration and analysis.

In this AI Resume Analyzer project, you will learn to build and deploy AI resume analyzer that helps job seekers assess how effectively their resumes match job descriptions using OpenAI's language models and Azure's cloud infrastructure.

This machine learning project integrates model monitoring, CI/CD practices and Amazon Sagemaker pipelines into the logistics-oriented machine learning pipeline to streamline workflow orchestration for scalable and reliable deployment of ML models in logistics.

In this AI Resume Analyzer project, you will learn to build and deploy AI resume analyzer that helps job seekers assess how effectively their resumes match job descriptions using OpenAI's language models and Azure's cloud infrastructure.

In this LLM Llama2 Project, you will automate metadata generation using Llama2, RAGs, and AWS to reduce manual efforts.

In this LLM project, you will build a model to automate the transcription of video content and generate interactive quizzes using OpenAI’s Whisper and GPT-4o.

In this Machine Learning Project, you will learn how to build an end-to-end machine learning pipeline for predicting truck delays, incorporating Hopsworks' feature store and Weights and Biases for model experimentation.

Build a multi-agent AI personal assistant using Autogen that can handle tasks like managing calendars, emails, reminders, messaging, research, and weather updates, automating everyday workflows with LLMs and tool integrations. This is an upcoming project that is expected to be launched in June.

In this LLM RAG Project, you will learn to build a Multimodal RAG system for a restaurant aggregator app, integrating text and visuals to deliver personalized food recommendations using advanced technologies like Amazon S3, Amazon Bedrock, and FAISS.

In this LLM Project, you will learn how to enhance customer support interactions through Large Language Models (LLMs), enabling intelligent, context-aware responses. This Langchain project aims to seamlessly integrate LLM technology with databases, PDF knowledge bases, and audio processing agents to create a comprehensive customer support application.