Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Getting Started with KNIME AI: A Beginner's Guide
Highest Rated
Rating: 5.0 out of 5(14 ratings)
112 students

Getting Started with KNIME AI: A Beginner's Guide

Embark on Your AI Journey with KNIME AI: Explore LLMs, Agents, Vectorstores and much more without Coding
Highest Rated
Created byDan We
Last updated 3/2025
English
English [Auto],

What you'll learn

  • How to use KNIME AI and its available Tools
  • How to use Large Language Models LLMs in KNIME
  • How to use Open AI Chat GPT models in KNIME
  • How to use Open source models in KNIME
  • How to use downloaded local models in KNIME
  • How to use the new KNIME AI Assistant
  • New job opportunities might open up for you

Course content

3 sections • 19 lectures • 2h 36m total length

  • 0 KNIME classic and modern user interface1:31

    Switch between the classic and modern KNIME interfaces in analytics platform version five using the eye icon or the top-right menu, ensuring you can follow along.

  • Download course resources here0:02
  • 1 Early bird catches the worm0:48

    Start exploring KNIME AI early to gain a competitive edge, as nine nodes are under development and learning to use them now builds proficiency before features mature.

  • 2 Course Prerequesits Sign up for your API keys4:46

    Sign up for OpenAI to access ChatGPT and obtain API key, and sign up for Huggingface to get a token for KNIME AI models, then save and safeguard your keys.

  • 3 Course Prerequesits Local LLMs and KNIME extension setup4:11

    Register OpenAI and Hugging Face keys, then install GPT for all for local LLMs, and the KNIME nine my extension labs to enable offline, secure model inference in KNIME.

  • 4 Lets build our first OpenAI Model workflow in KNIME17:28

    Build your first OpenAI model workflow in Knime by configuring credentials, authenticating with OpenAI, selecting a large language model, crafting prompts with a prompter, and exporting json outputs.

  • 5 Open Source Models in KNIME with Huggingface Inference API15:37

    Learn to use open source Hugging Face models in KNIME with the inference API. Set up credentials, select repos for text generation and text-to-text tasks, and manage usage and tokens.

  • 6 Trying different temperatures for Open AI Models with Loops in KNIME11:47

    Learn to use KNIME AI with OpenAI and Hugging Face inference APIs, employing a counting loop to vary temperature and compare prompts.

  • 7 Creating a OpenAI Chat GPT model in KNIME12:55

    Learn to set up and use the OpenAI chat model connector in KNIME, including credentials, chat model prompter, input tables, and preserving chat history for multi-step prompts.

  • 8 Open AI Chat model vs LLM Model comparison13:38

    Compare OpenAI chat vs LM model in Knime by running identical prompts in two connectors, authenticate with credentials, configure models, and analyze output differences.

  • Important for next lecture0:21
  • 9 GPT4All in KNIME using Local LLM Models13:35

    Explore running local large language models with KNIME using GPT4All. Install a local llama 7 billion chat model, configure the bin file path, and run offline with RAM requirements.

  • 10 GPTAll Update Another model results in better outcomes2:57

    Experiment with the falcon model in KNIME AI to achieve better results than the lama model, then compare outputs and run prompts locally.

  • 11 Introduction to Vectorstores in KNIME16:56

    Explore how KNIME AI uses embeddings and vector stores to convert text into vectors, store data, and retrieve relevant proprietary data with a vector store retriever.

  • 12 How to use Tools and agents in KNIME AI19:04

    Learn to build tools and agents in KNIME AI by creating a workflow, configuring credentials, connecting OpenAI models, and using a vector store with embeddings to empower agent prompts.

  • 13 Introduction to the KNIME AI Assistant9:55

    Log in to the knime community hub to access the ai assistant for q&a and build workflows. Discover how to ask questions, generate workflow steps, and handle missing values.

Requirements

  • Prior KNIME knowledge is useful. See my beginners courses if interested
  • KNIME software installed (open source!)
  • Being able to download the new KNIME AI extensions (be aware of potential company firewalls or proxies)
  • If you want to do the excercises hands on (which I would recommend those free accounts are required
  • A free Open AI account
  • A free Huggingface account
  • A free KNIME Hub account
  • Free download of GPT4all software
  • NO coding requried! We use the new KNIME AI nodes

Description

Welcome to the Future of AI with KNIME: A Beginner's Adventure!

Are you ready to embark on an exhilarating journey into the world of cutting-edge AI technology? If you're eager to be at the forefront of innovation, then this course is tailor-made for you. Join us as early adopters of the latest AI nodes in KNIME and dive headfirst into the thrilling realm of Artificial Intelligence!

Why This Course is Your Gateway to AI Excellence

In this course designed especially for beginners, we'll introduce you to the revolutionary AI nodes in KNIME, making you one of the pioneers in this exciting field. No prior coding experience is needed (we use the new AI nodes in KNIME)—just a thirst for knowledge and a free KNIME account!

What You'll Discover

  • Large Language Models (LLMs): Explore the wonders of AI with insights into OpenAI's Large Language Models and tap into the incredible power of open-source models from Hugging Face.

  • Local LLMs and Vectorstores: Uncover the secrets of Local LLMs with GPT4All and Vectorstores to enhance your understanding of AI technology.

  • LLM Agents: Learn to create AI agents with ease and efficiency using KNIME's new nodes, making complex tasks a breeze.

  • KNIME AI Assistant: Get hands-on experience with the remarkable KNIME AI Assistant, which not only assists in discovering relevant nodes but can also generate workflow snippets from your descriptions.

Why You Shouldn't Miss This Opportunity

Imagine being at the forefront of a technological revolution, learning to harness AI's potential without coding. This course empowers you to do just that! Get ready to unlock limitless possibilities, whether you're a budding data scientist, business analyst, or just an AI enthusiast.

Don't miss your chance to be part of the future! Join us now and become a proficient AI practitioner with the power of KNIME at your fingertips. Enroll today and embrace the AI revolution!

Who this course is for:

  • Any KNIME user
  • Data Science Beginners: Those who are new to data science and want to learn how to use KNIME for AI and machine learning applications.
  • Business Analysts: Professionals looking to leverage KNIME to perform data analysis and automate tasks in their business processes
  • Data Analysts: Those who want to expand their data analysis skills by incorporating AI and machine learning techniques using KNIME
  • Entrepreneurs: Business owners who want to understand how AI can benefit their ventures and how to use KNIME for AI-related tasks.
  • Analytics Managers: Managers responsible for analytics teams who want to understand the capabilities and potential of KNIME for AI projects.
  • Freelancers and Consultants: Independent professionals who aim to offer AI and data analysis services to clients using KNIME.

Report abuse