Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
H2O Label Genie Starter Track
Rating: 4.5 out of 5(14 ratings)
1,524 students

H2O Label Genie Starter Track

Learn AI-powered data labeling using H2O Label Genie.
Created byH2O.ai University, Andreea Turcu
Last updated 6/2025
English
English

What you'll learn

  • Use H2O Label Genie to annotate text, image, and audio datasets efficiently using AI-powered tools.
  • Create, manage, and export labeled datasets for downstream machine learning workflows.
  • Navigate the H2O Label Genie platform, including project setup, annotation workflows, and summarization.
  • Apply zero-shot learning and LLMs to automate and accelerate data labeling tasks.

Explore related topics

Course content

7 sections • 13 lectures • 54m total length

  • H2O Label Genie - Revolutionizing Data Annotation1:46

    Explore how H2O Label Genie revolutionizes data annotation with AI-powered labeling for text, images, and audio. Define categories, verify and refine, and accelerate text classification and summarization through hands-on learning.

  • Introduction to Data Labeling5:08

    Discover what data labeling is, its role in machine learning, and labeling types like classification, entity extraction, and sentiment analysis; learn how quality labels power training, validation, and testing.

Requirements

  • No prior data labeling or AI experience required, basic computer skills and an interest in AI and data labeling are sufficient.

Description

Data labeling is one of the most critical and time-consuming steps in any AI or machine learning pipeline, accounting for over 50% of the project lifecycle .

In this beginner-friendly course, you will learn how to dramatically accelerate this process using H2O Label Genie, H2Oai’s intelligent data annotation platform designed to simplify, automate, and scale your labeling workflows.

The H2O Label Genie Starter Track equips you with foundational and practical knowledge to start labeling text, image, and audio data using AI-powered tools. Whether you’re a data scientist, ML engineer, analyst, or AI enthusiast, this course provides hands-on guidance on creating and exporting annotations, exploring datasets, and applying advanced techniques such as zero-shot labeling, dataset clustering, and LLM integration for text labeling.

Through structured walkthroughs and real-world examples, you’ll gain experience with:


  • Label Genie’s user interface and annotation workflows

  • Text summarization and classification

  • Efficient dataset exploration and task management

  • Seamless integration with H2O’s ML tools like Driverless AI and LLM Studio

By the end of this course, you’ll have the skills and confidence to reduce manual effort, improve data quality, and enhance your AI model performance using H2O Label Genie.

Take your first step toward faster, smarter, and AI-assisted data labeling with H2O Label Genie.

Who this course is for:

  • Anyone working with unstructured data who wants to automate annotation for text, image, or audio.
  • Data analysts, data scientists, and AI beginners looking to learn efficient data labeling with H2O tools.
  • Professionals exploring zero-shot learning, LLMs, or looking to improve ML model performance through quality data.

Report abuse