What you'll learn

Understand the core concepts and architecture of H2O Wave.
Build and deploy interactive AI applications using Python and H2O Wave.
Integrate advanced AI features, such as H2O GPTe, into your applications.
Deploy your AI applications to the H2O AI Cloud and share them with others.

Course content

5 sections • 7 lectures • 39m total length

Course Overview0:39
Join Sukanya Joshi, Data Scientist at H2O ai, as she guides you through creating your own Generative AI application using H2O Wave .

This starter course covers:

⇨ Introduction to H2O Wave
⇨ Setting up your development environment
⇨ Building and deploying your first AI app
⇨ Advanced features showcase : YouTube Chatbot

Visit H2O University for more Beginner Friendly Courses about our Products .
Introduction to Building Generative AI Apps5:13
Discover H2O Wave, an open-source platform for creating browser-based AI applications and dashboards using Python .

➣ Visit the Wave Website
This video covers:
➣ Core concepts of H2O Wave
➣ Key components : application code, content server, and browser-based client
➣ Potential use cases for Wave apps
➣ Tour of the Wave website
➣ Overview of available resources and documentation

Setting Up Your Development Environment2:15
Learn how to create a virtual environment, install the H2O Wave package, and configure your IDE with the H2O Wave extension for streamlined app development.

Follow along to get your environment ready for building Wave applications.
By the end of this video, you will be fully prepared to start building your first Wave application.
Building Your First Interactive App with H2O Wave13:10
This video guides you through creating your first interactive Wave app with step-by-step instructions.
Learn to:
➣ Build a basic app layout with text boxes, buttons, and cards.
➣ Respond to user interactions (button clicks, text input) and update the app dynamically.
➣ Explore the H2O Wave documentation for even more functionalities.

Note: This video uses Python code snippets for easy app development.

Deploying Your Wave App to H2O AI Cloud4:48
In this video, Michelle Tanco walks you through the step-by-step process of deploying your Wave app to the H2O AI Cloud .
You will learn how to prepare your app’s source code, create the necessary configuration files, and use both the user interface and command-line tools to upload and manage your app in the cloud.
By the end of this tutorial, you'll have the knowledge to publish your Wave apps and make them accessible to users across your organization.

Note : If you need help with permissions or setup, contact your system administrator to get started or Contact H2O Support.
Showcasing Practical Applications of H2O Wave10:58
In this Lecture, you will :
Explore advanced features of H2O Wave through a practical application showcase.
Be demonstrated a YouTube chatbot app that transcribes and interacts with YouTube videos.
Learn how to use this app to transcribe videos, ask questions, and get responses from the H2O GPTe backend and use this knowledge in creating and building your own Applications!
Follow along to see how Wave can be used in real-world applications.

Course Wrap-Up & Gen AI App Store Exploration1:57
Congratulations on making it to end of the Wave Starter Course!
This video recaps the key takeaways and introduces you to the H2O Wave community and resources, where you can:

➠ Learn how to find helpful documentation, tutorials, and code examples.
➠ Discover the Gen App Store - a vibrant marketplace for AI-powered applications.
➠ Explore pre-built apps, contribute your own creations, and connect with other developers.

➾ Links discussed in the Course:

✦ H2O Wave Documentation
✦ Gen AI App Store
✦ H2O Wave GitHub Repository

Complete the Quiz as the final step of completing H2O Wave Starter Course!

Requirements

Basic understanding of Python programming.
Familiarity with basic concepts of AI and machine learning is helpful but not required.
No prior experience with H2O Wave is necessary; all concepts will be taught from scratch.

Description

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, and other industry experts, this course offers a perfect blend of theory and hands-on practice .

You will start by understanding the core concepts of H2O Wave and its potential in the AI landscape .
As you progress, you will set up your development environment, create your first interactive app, and learn how to deploy it to the H2O AI Cloud .

What sets this course apart is its focus on practical, real-world applications ; you will delve into advanced features such as integrating Enterprise H2O GPTe with a YouTube Chatbot application, giving you insights into how AI can enhance user interactions and content analysis .

Moreover, you will also be introduced to the H2O Gen App Store, a vibrant marketplace where you can explore pre-built AI apps, contribute your own, and connect with a community of like-minded developers .  

By the end of this course, you will have the skills to create, deploy, and showcase your own AI applications . 
Whether you are a beginner or an experienced developer, this H2O Wave Starter Course offers practical knowledge and hands-on experience to elevate your AI skills to the next level .

Who this course is for:

Python developers looking to build AI-driven applications and dashboards.
Data scientists aiming to enhance their skill set with AI application development.
Beginners in AI who want to start building practical applications without extensive web development knowledge.

What you'll learn

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Course content

Introduction to H2O Wave2 lectures • 6min

Getting Started With H2O Wave2 lectures • 15min

Advanced Applications and Deployment2 lectures • 16min

Course Conclusion And Next Steps1 lecture • 2min

Course Completion Quiz0

Requirements

Description

Who this course is for: