AI for Data Analytics - Online Course
September 30 - October 2, 2024 | Online Course
In this short course, you will learn how to use AI within your KNIME workflows to analyze data and enrich your analytics. The short course will start with the fundamentals of Large Language Models (LLMs), and how to authenticate, connect, and prompt LLM models. You will then learn how to control the output of an LLM with prompt engineering and how to use knowledge bases to build vector stores for Retrieval-Augmented Generation (RAG), all within your workflow. To attend the course, it is recommended that you have a basic proficiency in building KNIME workflows.
This is an instructor-led course consisting of three, 75 minutes online sessions run by our data scientists. Each session has an exercise for you to complete at home, and we will go through the solution at the start of the following session.
Session 1: Introduction to Transformers and Generative AI
Session 2: Response customization
Session 3: RAG and Governance
FAQ
You first need to create an account on the KNIME Learning Store. After you log on to the KNIME Learning Store, clicking on the “Register now” button will take you to the course web page.
We will provide you with temporary access to OpenAI for the exercise.
A basic proficiency in building workflows in KNIME Analytics Platform is recommended.
Yes, if you can already install the KNIME AI Extension beforehand, that will speed up the process.
You can join the course using the Zoom links found in your LearnUpon course page. Please note that each Zoom link is specific to a particular session. Make sure you have a stable internet connection!
Sure! The sessions will be recorded and you’ll have access to each one for one month from the time the session is over.
Absolutely - fire away!
Your own laptop, ideally pre-installed with the latest version of KNIME Analytics Platform, which can be downloaded here: knime.com/downloads