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H2O Cloud AI Developer Services
Rating: 4.5 out of 5(15 ratings)
1,805 students

H2O Cloud AI Developer Services

Master H2O Cloud AI Developer Services: AutoML, Customization, Computer Vision, and AI Assistants
Created byH2O.ai University
Last updated 7/2024
English
English

What you'll learn

  • Utilize Tabular Services: Learn how to access and scale AutoML and integrate various data sources seamlessly.
  • Leverage Language Services: Master enterprise-level customization and advanced applications with tools like Hydrogen Torch.
  • Apply Vision Services: Develop skills in data labeling, advanced computer vision tasks, and document AI capabilities.
  • Enhance Developer Experience: Use AI Assistants to improve coding efficiency and overall developer experience.

Course content

6 sections • 5 lectures • 42m total length

  • Intro to the H2O Cloud AI Developer Services Course0:40

    Explore how the H2O cloud AI developer services empower engineers to build, automate, monitor, and share AI across their organization, with tabular, language, vision services and AI code assistant.

Requirements

  • Basic Knowledge of AI and Machine Learning: Familiarity with fundamental concepts will help you grasp advanced topics more easily.
  • Programming Skills: Experience with programming languages such as Python is recommended.

Description

Elevate your AI development skills with H2O Cloud AI Developer Services! This comprehensive program is designed to provide you with an in-depth understanding of H2O ai's cloud-based AI services, tailored for developers, data engineers, and AI practitioners like you.

Led by H2O ai makers Audrey Létévé, Senior Customer Data Scientist, and Jon Farland, Director of Solutions Engineering, this course offers invaluable insights from real-world AI implementations.

Why H2O Cloud AI?

  1. Tabular Services: Imagine effortlessly scaling your machine learning models on tabular data. We'll explore AutoML, seamless data connectivity, and advanced features that empower you to tackle real-world projects with confidence.

  2. Language Services: Customizing and deploying NLP solutions has never been easier. From Hydrogen Torch to sophisticated language models, we'll equip you with the tools to conquer enterprise use cases.

  3. Vision Services: Dive into the world of computer vision. Learn data labeling with Label Genie, harness document AI capabilities, and build robust vision models using Hydrogen Torch.

  4. AI Assistants Services: Streamline your workflow with intelligent code suggestions and automations. Say goodbye to mundane tasks—our AI assistants have your back.

By the end, you will be able to create, automate, monitor, and share AI solutions using the H2O Cloud AI platform, optimizing your business use cases across different data types and domains. This course will prepare you to lead in the fields of AI and data science with confidence.

Who this course is for:

  • AI Developers: Professionals looking to enhance their skills in using H2O Cloud AI Developer Services for various applications.
  • Data Engineers: Engineers aiming to streamline and optimize their data workflows with advanced AI tools.
  • Tech Enthusiasts: Individuals passionate about AI and eager to learn about H2O ai's innovative cloud solutions.

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