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, H2O.ai’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.