This 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.
What you'll learn
Tabular Foundation Models
Understand what they are and how they predict without any per-task model training.
The Prediction Gap
Learn why teams get stuck reporting the past, and what it takes to predict what's next.
TabH2O Inside Excel
Install the plugin and turn spreadsheet data into predictions, no code required.
Predictions via the API
See the same predictions run programmatically, straight from a Snowflake notebook.
Real-World Use Cases
Apply it to churn, forecasting, risk, fraud, and filling in missing data.
Privacy and Trade-offs
See how your data stays private, and when traditional machine learning still wins.
Course Playlist on YouTube
AI has already changed how we work with text and images.
The same shift is now reaching structured business data.
This opening lesson introduces tabular foundation models, the everyday business questions they help answer, and why they point to a simpler approach to predictive AI.
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🔗 LINKS
→ Try TabH2O for free: https://tabh2o.h2oai.com
→ Free courses & certifications: https://h2o.ai/university
→ Enterprise features & demo: https://h2o.ai/demo
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ABOUT TABH2O
TabH2O is a tabular foundation model from H2O.ai. It works across industries and data types — any structured dataset, any business question, no model training required. Available free, with enterprise options for scale.
#TabH2O #H2Oai #PredictiveAI #EnterpriseAI #TabularFoundationModels #AIUseCases #MachineLearning #DataScience
For years, each AI task needed its own model.
Foundation models changed that: train once on broad patterns, then apply that knowledge across many tasks.
This lesson explains the shift, how it played out with large language models, and why business data has been slower to catch up.
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🔗 LINKS
→ Try TabH2O for free: https://tabh2o.h2oai.com
→ Free courses & certifications: https://h2o.ai/university
→ Enterprise features & demo: https://h2o.ai/demo
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ABOUT TABH2O
TabH2O is a tabular foundation model from H2O.ai. It works across industries and data types — any structured dataset, any business question, no model training required. Available free, with enterprise options for scale.
#TabH2O #H2Oai #PredictiveAI #EnterpriseAI #TabularFoundationModels #AIUseCases #MachineLearning #DataScience
Tabular data is information in rows and columns, the format behind most business decisions.
This lesson breaks down what tabular data is, where it shows up across industries, and why turning it into predictions with traditional machine learning takes so much time and effort.
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🔗 LINKS
→ Try TabH2O for free: https://tabh2o.h2oai.com
→ Free courses & certifications: https://h2o.ai/university
→ Enterprise features & demo: https://h2o.ai/demo
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ABOUT TABH2O
TabH2O is a tabular foundation model from H2O.ai. It works across industries and data types — any structured dataset, any business question, no model training required. Available free, with enterprise options for scale.
#TabH2O #H2Oai #PredictiveAI #EnterpriseAI #TabularFoundationModels #AIUseCases #MachineLearning #DataScience
A tabular foundation model is a foundation model built for structured data. Instead of starting from scratch on each dataset, it brings patterns learned across many tables.
This lesson explains how these models generalize, with a simple analogy for why prior experience makes predictions faster.
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🔗 LINKS
→ Try TabH2O for free: https://tabh2o.h2oai.com
→ Free courses & certifications: https://h2o.ai/university
→ Enterprise features & demo: https://h2o.ai/demo
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ABOUT TABH2O
TabH2O is a tabular foundation model from H2O.ai. It works across industries and data types — any structured dataset, any business question, no model training required. Available free, with enterprise options for scale.
#TabH2O #H2Oai #PredictiveAI #EnterpriseAI #TabularFoundationModels #AIUseCases #MachineLearning #DataScience
What can a tabular foundation model actually do?
This lesson covers the main jobs: classification, regression, filling in missing values, and surfacing patterns across columns.
It also looks at how the workflow changes when the focus moves from building models to answering business questions.
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🔗 LINKS
→ Try TabH2O for free: https://tabh2o.h2oai.com
→ Free courses & certifications: https://h2o.ai/university
→ Enterprise features & demo: https://h2o.ai/demo
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ABOUT TABH2O
TabH2O is a tabular foundation model from H2O.ai. It works across industries and data types — any structured dataset, any business question, no model training required. Available free, with enterprise options for scale.
#TabH2O #H2Oai #PredictiveAI #EnterpriseAI #TabularFoundationModels #AIUseCases #MachineLearning #DataScience
A quick recap of the concept, then the shift to what it means in practice. This lesson sets up where tabular foundation models help, how they change the way teams work with data, and why many see them making predictive AI far more accessible.
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🔗 LINKS
→ Try TabH2O for free: https://tabh2o.h2oai.com
→ Free courses & certifications: https://h2o.ai/university
→ Enterprise features & demo: https://h2o.ai/demo
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ABOUT TABH2O
TabH2O is a tabular foundation model from H2O.ai. It works across industries and data types — any structured dataset, any business question, no model training required. Available free, with enterprise options for scale.
#TabH2O #H2Oai #PredictiveAI #EnterpriseAI #TabularFoundationModels #AIUseCases #MachineLearning #DataScience
Business leaders rarely ask for models. They ask for answers.
This lesson looks at where tabular foundation models help: customer churn, forecasting, risk and fraud, and filling gaps in messy data.
It also explains the shift from "which model do we build" to "what do we want to predict."
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🔗 LINKS
→ Try TabH2O for free: https://tabh2o.h2oai.com
→ Free courses & certifications: https://h2o.ai/university
→ Enterprise features & demo: https://h2o.ai/demo
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ABOUT TABH2O
TabH2O is a tabular foundation model from H2O.ai. It works across industries and data types — any structured dataset, any business question, no model training required. Available free, with enterprise options for scale.
#TabH2O #H2Oai #PredictiveAI #EnterpriseAI #TabularFoundationModels #AIUseCases #MachineLearning #DataScience
Predictive AI has often followed a slow, linear path: business asks, a technical team builds, results come back weeks later.
This lesson shows how tabular foundation models reduce that friction, shifting the focus from algorithms to decisions and letting more people explore questions on their own.
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🔗 LINKS
→ Try TabH2O for free: https://tabh2o.h2oai.com
→ Free courses & certifications: https://h2o.ai/university
→ Enterprise features & demo: https://h2o.ai/demo
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ABOUT TABH2O
TabH2O is a tabular foundation model from H2O.ai. It works across industries and data types — any structured dataset, any business question, no model training required. Available free, with enterprise options for scale.
#TabH2O #H2Oai #PredictiveAI #EnterpriseAI #TabularFoundationModels #AIUseCases #MachineLearning #datascience
When getting answers is hard, people stop asking.
This lesson looks at how faster experimentation opens predictive AI to more teams, and how the industry, including H2O.ai, is applying foundation model ideas to structured business data.
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🔗 LINKS
→ Try TabH2O for free: https://tabh2o.h2oai.com
→ Free courses & certifications: https://h2o.ai/university
→ Enterprise features & demo: https://h2o.ai/demo
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ABOUT TABH2O
TabH2O is a tabular foundation model from H2O.ai. It works across industries and data types — any structured dataset, any business question, no model training required. Available free, with enterprise options for scale.
#TabH2O #H2Oai #PredictiveAI #EnterpriseAI #TabularFoundationModels #AIUseCases #MachineLearning #datascience
A prediction only matters when someone acts on it.
This lesson closes the "why": the gap between the questions teams want answered and the ones that are practical today, and how tabular foundation models help narrow it by fitting into the tools people already use.
Next, we move from the why to the how with TabH2O.
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🔗 LINKS
→ Try TabH2O for free: https://tabh2o.h2oai.com
→ Free courses & certifications: https://h2o.ai/university
→ Enterprise features & demo: https://h2o.ai/demo
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ABOUT TABH2O
TabH2O is a tabular foundation model from H2O.ai. It works across industries and data types — any structured dataset, any business question, no model training required. Available free, with enterprise options for scale.
#TabH2O #H2Oai #PredictiveAI #EnterpriseAI #TabularFoundationModels #AIUseCases #MachineLearning #DataScience
Before using any AI tool with real business data, one question tends to come up first: what actually happens to it?
With TabH2O, the answer is straightforward. The add-in processes what it needs to generate predictions, but your data is never stored, never cached, and never used to retrain the model. Everything stays within the spreadsheet.
This module also covers something particularly relevant for organizations in regulated industries: because TabH2O's predictions are based on patterns in the data rather than column names, you can fully anonymize your fields before using it and the results are just as accurate. The model doesn't need to know what your columns are called to do its job.
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🔗 LINKS
→ Try TabH2O for free: https://tabh2o.h2oai.com
→ Enterprise features & use cases: https://h2o.ai/demo
→ Free courses & certifications: https://h2o.ai/university
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ABOUT TABH2O
TabH2O is a tabular foundation model from H2O.ai. Your data is processed in memory — not stored, not cached, not used to retrain the model. Built for organizations where data privacy isn't optional.
#TabH2O #H2Oai #DataPrivacy #AIPrivacy #EnterpriseAI #PredictiveAI #DataSecurity #MachineLearning
Everything you need to get TabH2O running inside Excel for the web, covered step by step.
Andreea walks through the full setup live: downloading the sample dataset from GitHub, opening it in Excel Online, signing into the TabH2O portal to get your free API key, downloading the manifest.xml file, and installing the add-in. The installation is a one-time process, and the whole thing takes a few minutes.
If you want to follow along in real time, all three links you'll need are below.
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🔗 LINKS
→ TabH2O portal — sign in & get your free API key: https://tabh2o.h2oai.com
→ Download manifest.xml (add-in install file): https://tabh2o.h2oai.com/docs
→ Sample dataset used in the demo: https://github.com/h2oai/h2o-university-resources/blob/main/demo-datasets/sample_customer_churn.csv
→ Excel Online: https://excel.cloud.microsoft/
→ Free courses & certifications: https://h2o.ai/university
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ABOUT TABH2O
TabH2O is a tabular foundation model from H2O.ai, available as a free Excel add-in. No model training, no code, no infrastructure. Bring a spreadsheet, click predict, get results.
#TabH2O #H2Oai #ExcelAI #TabularFoundationModels #NoCodeML #HowTo #ExcelAddIn #PredictiveAI
This is the moment the whole course has been building toward.
Andreea opens the TabH2O add-in, loads the API key, reviews the dataset — 60 rows, 15 with a missing column — and clicks predict. The values fill in within seconds. That's the demo.
But the more useful part of this module is what comes after. Andreea breaks down what just changed, not just the speed, but the entire shape of how a predictive question gets answered. There's also a clear explanation of regression vs. classification, so you understand exactly what task you ran and when to use each.
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🔗 LINKS
→ TabH2O portal — sign in & get your free API key: https://tabh2o.h2oai.com
→ Download manifest.xml (add-in install file): https://tabh2o.h2oai.com/docs
→ Sample dataset used in the demo: https://github.com/h2oai/h2o-university-resources/blob/main/demo-datasets/sample_customer_churn.csv
→ Excel Online: https://excel.cloud.microsoft/
→ Free courses & certifications: https://h2o.ai/university
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ABOUT TABH2O
TabH2O is a tabular foundation model from H2O.ai — trained on billions of data points by Kaggle Grandmasters. Bring any structured dataset, click predict, and get results in seconds. No training, no tuning, no infrastructure.
#TabH2O #H2Oai #LiveDemo #ExcelAI #PredictiveAI #TabularFoundationModels #NoCodeML #MachineLearning
The demo used a sales pipeline dataset - but that was just an example to make the concept easy to follow. This final module is about where the same workflow applies across a real business.
Andreea covers the use cases she sees most often: churn and customer lifetime value in customer analytics, risk scoring and fraud detection in financial services, demand planning and inventory optimization in retail and operations. The underlying approach stays the same regardless of the industry or the column names.
There's also an honest section on when TabH2O is not the right tool. Complex, large-scale, or highly specialized problems may still be better served by traditional machine learning — and Andreea explains how to think about that distinction clearly.
The module closes with a simple recommendation: start with one business question, a spreadsheet you already have, and a column you'd like to predict. TabH2O is free. The setup resources, sample datasets, and further courses are all linked below.
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🔗 LINKS
→ Try TabH2O for free: https://tabh2o.h2oai.com
→ Docs & manifest.xml: https://tabh2o.h2oai.com/docs
→ Free courses & certifications: https://h2o.ai/university
→ Enterprise features & demo: https://h2o.ai/demo
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ABOUT TABH2O
TabH2O is a tabular foundation model from H2O.ai. It works across industries and data types — any structured dataset, any business question, no model training required. Available free, with enterprise options for scale.
#TabH2O #H2Oai #PredictiveAI #EnterpriseAI #TabularFoundationModels #AIUseCases #MachineLearning #DataScience
Predict directly from your spreadsheet : no model training, no code, no infrastructure.
TabH2O is H2O.ai's foundation model for tabular data. Send a CSV, get predictions back.
In this video, Andreea walks through what TabH2O is, how it works, and how to set it up
inside Excel Online in five steps. By the end, you'll be running predictions on your own
data in minutes.
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🔗 LINKS
→ Try TabH2O (free): https://tabh2o.h2oai.com
→ Docs & manifest.xml download: https://tabh2o.h2oai.com/docs
→ Sample dataset (customer churn): https://github.com/h2oai/h2o-university-resources/blob/main/demo-datasets/sample_customer_churn.csv
→ Excel Online: https://excel.cloud.microsoft/
→ Higher limits / enterprise: https://h2oai.com/demo/
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⏱️ CHAPTERS
0:00 The problem with traditional ML on tabular data
0:30 What TabH2O does
2:30 How it works — foundation models & in-context learning
4:10 Step 1 — Sign in and download the manifest
5:32 Step 2 — Install the Excel add-in
7:02 Step 3 — Connect your account and explore the panel
12:09 Step 4 — Prepare your data
14:00 Step 5 — Run predictions
15:19 Take-away
16:35 Privacy — your data stays yours
17:14 Agentic AI workflows
17:48 TabH2O is free to to use
18:12 Get started
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ABOUT TABH2O
TabH2O is a foundation model for tabular data — the same data that lives in your
spreadsheets and business databases. Instead of building, training, and deploying a
machine learning model from scratch, you send your data to TabH2O and get predictions
back in seconds. It works for classification, regression, and missing-value completion,
and runs entirely through a single API call.
Your data is processed in memory. Nothing is stored, cached, or used to retrain the model.
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ABOUT H2O.AI
H2O.ai is the company behind the world's most widely used open-source machine learning
platform. We build predictive and generative AI for enterprises that can't compromise
on accuracy, privacy, or control.
#TabH2O #H2Oai #FoundationModels #TabularData #ExcelAI #MachineLearning #NoCodeML
1
3:09
The AI Shift Coming to Your Business Data | TabH2O Explained
2
3:18
How One AI Model Can Handle Many Tasks | TabH2O Explained
3
5:28
What Tabular Data Is and Why It Runs Your Business | TabH2O Explained
4
3:07
What Are Tabular Foundation Models? | TabH2O Explained
5
4:44
Turn Your Raw Data Into Forecasts and Predictions | TabH2O Explained
6
1:25
What Tabular Foundation Models Change in Real Work | TabH2O Explained
7
5:32
The Business Questions AI Can Answer From Data | TabH2O Explained
8
1:25
A New Way to Think About Prediction | TabH2O Explained
9
6:28
How AI Puts Prediction in Every Team's Hands | TabH2O Explained
10
6:33
Closing the Gap Between Data and Decisions | TabH2O Explained
11
1:23
Your Data Stays Yours: Data Privacy in TabH2O | TabH2O
12
9:05
Install TabH2O in Excel: Step-by-Step Setup Guide | TabH2O
13
9:30
Make Your First Prediction in Excel | TabH2O Live Demo
14
9:10
TabH2O at Scale: Real-World Use Cases | TabH2O
15
18:42
From Spreadsheet to Prediction: The Complete TabH2O Workflow | TabH2O
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.”
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