Video learning¶
The following table lists the series of onboarding videos available on YouTube. Check back often, as new content is added regularly. For those with "Try it here," you can use the provided data to follow along with the exercise.
Visit the DataRobot homepage on YouTube for additional demo videos, generative and agentic AI tutorials, customer use cases and stories, and more.
| タイトル | 説明 | やってみましょう |
|---|---|---|
| Onboarding | ||
| What is DataRobot? | A brief platform overview. | |
| Getting oriented | A quick tour of the UI, including the cornerstone areas of building and deploying predictive and generative models—Workbench, Registry, Console, and the application gallery. | |
| Starter exercises | Learn how to upload and preview data, build a predictive model, learn from insights, and register and deploy the model. | |
| 基本ステップ | ||
| Build LLM playgrounds | Learn how to use the RAG (Retrieval Augmented Generation) playground to compare multiple LLM blueprints side-by-side, create vector databases, then combine those vector databases with prompting strategies and LLM selections to create a complete RAG solution. | 基本ステップ |
| GenAI with governance | LLMブループリントとRAG（Retrieval Augmented Generation）ワークフローを作成し、比較します。 Then, compare multiple RAG pipelines with built-in evaluation, assessment, and logging, providing governance and guardrails. | 基本ステップ |
| Basic predictive modeling | Learn how to wrangle data with pushdown to Snowflake, run a model competition using Autopilot, and compare model insights and performance on the Leaderboard. | Walkthrough. |
| Time series model building | Learn how to use time series modeling for a multivariate, multiseries forecasting use case. The step-by-step walkthrough exposes you to both the UI and using the DataRobot Python client to work in a data science notebook. | Walkthrough. |
| RFPbot | See how the DataRobot framework allows you to securely use proprietary documents and data to provide context to LLMs by converting that information to custom knowledge bases. | |