H2O Label Genie Starter Track
Published 6/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 719.48 MB | Duration: 0h 55m
Published 6/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 719.48 MB | Duration: 0h 55m
Learn AI-powered data labeling using H2O Label Genie.
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.
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 workflowsText summarization and classificationEfficient dataset exploration and task managementSeamless integration with H2O’s ML tools like Driverless AI and LLM StudioBy 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.
Overview
Section 1: Introduction to AI-Powered Data Labeling
Lecture 1 H2O Label Genie - Revolutionizing Data Annotation
Lecture 2 Introduction to Data Labeling
Section 2: Getting Started with Label Genie
Lecture 3 What is H2O Label Genie?
Lecture 4 Getting Started with H2O.ai Aquarium
Lecture 5 Exploring the Homepage and Datasets Tabs
Section 3: Basic Annotation Workflows
Lecture 6 Creating New Annotations
Lecture 7 Exporting the Outcomes
Section 4: Advanced Labeling Techniques
Lecture 8 Multiclass labeling
Lecture 9 Taking Advantage of the Summarization Tasks
Lecture 10 Exploring and Clustering Datasets
Section 5: Automation and Efficiency Features
Lecture 11 Zero-Shot Labeling and Segmentation
Lecture 12 LLM Integration for Text Labeling
Section 6: Course Summary and Final Thoughts
Lecture 13 Label Genie Starter Track – Take Aways
Section 7: Course Completion Quiz
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.