Explore a comprehensive demonstration of the H2O AI Hybrid Cloud platform in this 28-minute video. Gain insights into accessing the cloud, navigating the AI App Store, and utilizing AI Apps for Exploratory Data Analysis and Anomaly Detection. Discover the MLOps pipeline and various AI Engines, including H2O Open Source and Driverless AI. Learn how to configure AI engines, connect them using Python, and leverage collaboration features. Witness firsthand how this powerful platform accelerates AI development and deployment, offering enhanced accuracy, speed, and transparency throughout the machine learning lifecycle.
Overview
Syllabus
- Video Start
- AI Hybrid Cloud Intro
- Cloud Login
- AI Apps
- H2O AI Wave App Demo
- App Instances
- EDA Covid Data Visualization App
- Anomaly Detection App
- MlOps
- AI Engines
- Using Python to connect H2O open-source ML platform
- H2O.ai Opensource cluster Instance
- Driverless AI Instance
- Access Token configuration
- MLOps Project
- Recap
Taught by
Prodramp
