Courses
Every course is free, self-paced, and ends in a quiz. Score 70% or higher and you earn an H2O Certified badge.
18 courses
BeginnerGetting Started with Tabular Foundation ModelsThis course introduces tabular foundation models and shows TabH2O in action, going from a raw spreadsheet to predictions in seconds, with no model training, no code, and no infrastructure. You will learn about what the prediction gap is and why it matters, how tabular foundation models work, and how to install and use TabH2O directly inside Excel and Google Sheets. In addition, you will explore real-world use cases across industries, see how TabH2O keeps your data private, and get an honest look at when traditional machine learning is still the better choice. TabH2O is free to use, with setup links and sample datasets in every video.Predictive AI1h 29mBeginnerGetting Started with H2O.ai Managed CloudThis course introduces H2O.ai Managed Cloud, a fully managed, isolated AI environment where data preparation, model development, and deployment all run in one place, with the infrastructure handled for you. You will learn about what you can build across predictive AI and generative AI, how to activate your account through an External Okta account, and how to find your way around the platform from your first login. In addition, you will learn and see where H2O MLOps, Enterprise h2oGPTe, and H2O Document AI sit inside your environment, and get an administrator's view of users, AI Unit reporting, and platform-wide access.H2O AI Managed Cloud22mIntermediateThe AI Lifecycle with the H2O.ai Platform: From Data to ProductionThis course provides a complete walkthrough of the AI lifecycle using the H2O.ai platform. Designed for data science and AI professionals, it explains how to build, deploy, and manage both predictive machine learning models and generative AI applications within a secure enterprise environment. You will see how the platform connects each stage of the data science workflow. The course covers everything from raw data preparation and automated feature engineering to model deployment, real-time monitoring, and strict regulatory compliance. You will also learn how to integrate modern AI agents and Large Language Models (LLMs) into standard enterprise workflows.Predictive AIObservability48mIntermediateH2O.ai Agents : Theory to PracticeH2O AI Agents: From Theory to Practice guides you through how AI agents work - combining LLMs, tools, and memory to build autonomous systems using Enterprise h2oGPTe. This course takes you from foundational concepts to hands-on applications across finance, healthcare, policy development, and energy optimization. Through practical demonstrations and real-world examples, you'll learn how to create AI agents that summarize, plan, automate, and reason—transforming complex workflows into powerful, production-ready solutions.Agentic AI1h 12mIntermediateAn In-depth Exploration of h2oGPTeExplore the full capabilities of Enterprise GPTe in this in-depth course. From mastering the user interface to building sophisticated AI applications, you will gain hands-on experience with H2O.ai's powerful platform. Designed for data scientists, ML engineers, and AI enthusiasts, this course will elevate your skills in leveraging GPTe for innovative problem-solving and automation in enterprise environments.Generative AI1h 59mBeginnerBuild Practical AI Agents with h2oGPTeBuild Practical AI Agents with h2oGPTe is a hands-on workshop course that shows you how to create real-world, policy-aware AI agents using Enterprise h2oGPTe. You’ll learn how to go from a simple prompt to a working agent that uses documents, follows business rules, and generates structured outputs. The course focuses on practical workflows, live demos, and enterprise-ready use cases you can apply immediately.Agentic AIBeginnerH2O Label Genie Starter CourseH2O 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.Predictive AIGenerative AI56mBeginnerDriverless AI Starter CourseLearn how to use H2O Driverless AI for automated machine learning (AutoML). This course covers the basics of Driverless AI, including setup, data import, interface navigation, and core features. You will also learn how to preprocess data, build models, interpret results, and apply advanced features like custom recipes and model tuning. This will equip you to streamline your machine learning workflows with H2O Driverless AI.Predictive AIObservability2h 22mBeginnerH2O Gen AI Ecosystem Overview - Level 1This course introduces the core tools in the H2O.ai GenAI ecosystem. Learn how to build and fine-tune LLMs using h2oGPT and LLM Studio and create simple AI-powered apps using GenAI AppStudio's sketch2app and prompt2app. Suitable for beginners and anyone interested in practical GenAI development.Generative AI5h 26mBeginnerH2O Wave Starter CourseThe H2O Wave Starter Course is meticulously designed for developers and AI enthusiasts eager to dive into H2O Wave, an open-source platform that simplifies the creation of browser-based AI applications using Python. Led by Sukanya Joshi, a Data Scientist at H2O.ai, this course offers a perfect blend of theory and hands-on practice.Generative AIH2O AI Managed Cloud39mIntermediateH2O Gen AI Ecosystem Overview - Level 2This course builds on the Level 1 overview with a deeper look at Large Language Models and practical GenAI workflows. Learn how to work with RAG techniques, fine-tune models, prepare datasets, and evaluate performance using tools like Enterprise h2oGPTe, LLM DataStudio and the GenAI AppStore. Led by Kaggle Grandmaster Sanyam Bhutani, the course includes Python labs, research-based materials, and guided practice using H2O.ai tools across the GenAI ecosystem.Generative AI57mBeginnerHydrogen Torch Starter CourseThis beginner-friendly course introduces you to H2O Hydrogen Torch, a no-code platform designed for building deep learning models in areas like image classification, text analysis, and audio processing. Learn how to navigate the interface, run experiments, and apply best practices drawn from real-world use cases.Predictive AIH2O AI Managed Cloud1h 14mIntermediateData Science and Machine Learning PlatformsLearn how to build and deploy AI solutions with H2O.ai’s suite of tools. This course introduces you to key platforms like Driverless AI, H2O Actions, Wave App, GenAI AppStore, LLM DataStudio, H2O LLMStudio, Enterprise GPTe and h2oGPT. You will also gain hands-on experience preparing and visualizing data, automating machine learning workflows, deploying models, and applying generative AI capabilities for advanced tasks such as text generation and translation. By the end, you’ll be able to navigate H2O.ai’s platforms and apply AI solutions across various industries and use cases.Predictive AIObservability1h 19mIntermediateH2O Generative AI Starter TrackH2O Generative AI Starter Track introduces the practical applications of Generative AI using h2oGPTe, H2O’s enterprise platform. This beginner-friendly course guides you from foundational concepts to hands-on implementation, ideal for business professionals improving decision-making, developers exploring AI integration, and anyone curious about real-world Generative AI applications.Generative AIAgentic AI1h 4mIntermediateLarge Language Models (LLMs) - Level 2Build on your foundation in Large Language Models (LLMs) with practical techniques for fine-tuning, optimizing, and deploying NLP models. This course focuses on hands-on experience with H2O LLM Studio, guiding you through model customization, experiment monitoring, and deployment. Explore advanced topics like quantization and LoRA to make your models efficient and production-ready. Designed for learners with prior exposure to LLMs, this course helps deepen your understanding and awards you a certification upon completion.Generative AI1h 31mBeginnerLarge Language Models (LLMs) - Level 1This course offers a theoretical introduction to Large Language Models, focusing on how they are built, trained, and used in real-world applications. You’ll learn the basics of language modeling, the role of transformer architecture, and key techniques like pre-training, fine-tuning, and transfer learning. Led by Andreea Turcu, this course also includes hands-on work with LLM DataStudio and covers how to evaluate and improve model performance..Generative AI1h 16mBeginnerData Prep for H2O Driverless AILearn essential data preparation techniques for tabular and time series data using H2O Driverless AI. Understand data quality, build datasets, and customize preprocessing with Python. Ideal for those looking to enhance their machine learning projects with Driverless AI.Predictive AI55mBeginnerAI Fundamentals GlossaryThe AI Fundamentals Glossary explains more than 90 AI terms in plain language, across 35 short videos of around two minutes each, grouped by topic so you can watch in order or jump to the one you need before a call. You will cover the foundations first, including machine learning, neural networks and transformers, then predictive AI, generative AI and LLMs, RAG and prompt engineering, and how AI agents and orchestration fit together. The later videos deal with MLOps, monitoring, drift and governance, the deployment choices that decide who controls the data, and the compliance frameworks across four regions.1h 31m
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