H2O Label Genie Starter Course will show you how to save time and effort on data labeling using H2O Label Genie, an intelligent platform that makes labeling text, images, and audio faster, smarter, and more accurate.

Through hands‑on exercises and real‑world examples, you will learn to use its annotation tools, apply advanced techniques like zero‑shot labeling, dataset clustering, and LLM‑assisted text labeling, and connect your labeled data seamlessly with H2O.ai’s ML platforms.

By the end, you will have a good understanding and grounded confidence to streamline labeling and improve data quality with H2O Label Genie.

 

What you'll learn

  • Introduction to Data Labeling
    Learn the role and importance of data labeling in AI and machine learning.
  • Environment Setup
    Set up H2O Label Genie and connect to H2O.ai Aquarium for hands‑on practice.
  • Advanced Labeling Strategies
    Use multi‑class annotation, dataset exploration, and AI‑assisted tools like zero‑shot prediction and LLMs to speed up labeling.
  • H2O Label Genie Basics
     Get introduced to H2O Label Genie and learn its core concepts and features.

  • Annotation Techniques
    Learnig how to create, manage, and export text, image, and audio labels.
  • Real‑World Application
    Build hands‑on experience applying H2O Label Genie to labeling tasks and creating high‑quality datasets for machine learning projects.
H2O.ai Certificate H2O.ai Certificate

Course Playlist on YouTube

1
Revolutionizing Data Annotation | H2O Label Genie Starter Track - Teaser
1:47
Revolutionizing Data Annotation | H2O Label Genie Starter Track - Teaser
2
Introduction to Data Labeling | H2O Label Genie Starter Track - Part 1
5:09
Introduction to Data Labeling | H2O Label Genie Starter Track - Part 1
3
What is H2O Label Genie | H2O Label Genie Starter Track - Part 2
3:13
What is H2O Label Genie | H2O Label Genie Starter Track - Part 2
4
Using H2O.ai Aquarium Labs | Latest Update
5:57
Using H2O.ai Aquarium Labs | Latest Update
5
Exploring the Homepage and Datasets Tabs | H2O Label Genie Starter Track - Part 3
4:37
Exploring the Homepage and Datasets Tabs | H2O Label Genie Starter Track - Part 3
6
Creating New Annotations | H2O Label Genie Starter Track - Part 4
4:58
Creating New Annotations | H2O Label Genie Starter Track - Part 4
7
Exporting the Outcomes | H2O Label Genie Starter Track - Part 5
0:42
Exporting the Outcomes | H2O Label Genie Starter Track - Part 5
8
Multiclass labeling | H2O Label Genie Starter Track - Part 6
2:42
Multiclass labeling | H2O Label Genie Starter Track - Part 6
9
Taking advantage of the Summarization tasks | H2O Label Genie Starter Track - Part 7
2:12
Taking advantage of the Summarization tasks | H2O Label Genie Starter Track - Part 7
10
Exploring and Clustering Datasets | H2O Label Genie Starter Track - Part 8
9:03
Exploring and Clustering Datasets | H2O Label Genie Starter Track - Part 8
11
Zero-Shot Labeling and Segmentation | H2O Label Genie Starter Track - Part 9
5:41
Zero-Shot Labeling and Segmentation | H2O Label Genie Starter Track - Part 9
12
LLM Integration for Text Labeling | H2O Label Genie Starter Track - Part 10
6:41
LLM Integration for Text Labeling | H2O Label Genie Starter Track - Part 10
13
Course Wrap-Up | H2O Label Genie Starter Track - Take Aways
3:46
Course Wrap-Up | H2O Label Genie Starter Track - Take Aways

 

Quiz Me if You Can!

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Andreea Turcu, Head of Global Training

Andreea is a data scientist with over 7 years of experience in demystifying AI and Data Science concepts for anyone keen on working in this exciting field using cutting-edge technology. Having obtained a Master’s Degree in Quantitative Economics and Econometrics from Lumière Lyon 2 University, she enjoys integrating machine learning principles with real-world applications. Andreea’s passion lies in developing engaging training programs and ensuring an optimal customer education journey. As she frequently likes to remark, “AI is essentially Economics turbocharged by data, with a sprinkle of innovation.”

You can view her LinkedIn profile HERE.

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Sanyam Bhutani, Senior Data Scientist

Sanyam Bhutani is a Machine Learning Engineer and AI Content Creator at H2O.ai. He is also an inc42, Economic Times recognized Machine Learning Practitioner. (link to the interviews: inc42, Economic Times) Sanyam is an active Kaggler where he is a Triple Tier Expert, ranked in Global Top 1% in all categories as well as an active AI blogger on the medium, Hackernoon (Medium Blog link) with over 1 Million+ Views overall. Sanyam is also the host of Chai Time Data Science Podcast where he interviews top practitioners, researchers, and Kagglers. You can follow him on Twitter or subscribe to his podcast.