What
You’ll Learn
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.
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.