Generative AI

Learn how to use embeddings, vector databases, and similarity measures to solve real-world problems. These powerful tools power many of the products and services we use today, from search engines to social media platforms. In this session, you’ll learn the basics of these technologies and how to use them to build your own innovative applications. Embeddings are a powerful way to represent data in a high-dimensional space. Vector databases provide efficient storage and retrieval of embedding data. Similarity measures can be used to compare embeddings and identify similar data points. You will learn how to use these powerful tools to solve real-world problems in a variety of domains, including natural language processing, product recommendation, and image search. ...

Learn how to build a YouTube video summarizer and host it on a website. This series of hands-on sessions will touch upon Python programming, need-to-know concepts about data engineering, machine learning, serverless computing, cost estimation, and cloud deployment. Delivery Mode Online & In Person Duration 3 - 4 hours Prerequisites Containerization 101, Serverless Computing What Will Be Covered In this series of 3-4 sessions, you will build a web-based application in which users can indicate the URL of a YouTube video and, a few seconds later, get a summary of the key points mentioned in that video....

Learn how Large Language Models (LLMs) work, and how to use them for various use cases, how they can be customized for specific use cases. ...