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H2O AI Agents : From Theory to Practice
Rating: 4.4 out of 5(43 ratings)
2,146 students

H2O AI Agents : From Theory to Practice

Learn and apply AI agents using H2O Generative AI : Agentic workflows, automation, and real-world use cases.
Created byH2O.ai University
Last updated 4/2025
English
English

What you'll learn

  • Learn the components and architecture of AI agents, including LLMs, tools, and memory systems.
  • Implement autonomous AI workflows using h2oGPTe across multiple industries.
  • Integrate predictive and generative AI for end-to-end business solutions.
  • Apply best practices for AI agent deployment, including guardrails and testing strategies.

Course content

5 sections • 10 lectures • 54m total length

  • Introduction to AI Agents1:45

    Explore AI agents from theory to practice with h2oGPTe, covering an agentic AI spectrum, product offerings, benchmarks, real-world use cases, and hands-on demonstrations with practical implementation guidance.

  • Understanding AI Agents6:39

    Explain how H2O AI agents interact with systems, using tools, memory, and LLMs to achieve goals, distinguish from generative AI, and explore agency spectrum.

Requirements

  • A basic understanding of how AI or machine learning works (helpful, but not mandatory).
  • No prior experience with AI agents is required.
  • Access to a modern web browser (for trying out h2oGPTe demos).

Description

H2O AI Agents : From Theory to Practice is a comprehensive course that bridges theoretical understanding with practical implementation, guiding learners through the complete lifecycle of AI agents.

You will start with core concepts by understanding the fundamental architecture of AI agents, how they combine large language models (LLMs), tools, and memory to create autonomous workflows. Discover what sets h2oGPTe apart as we showcase its record-breaking performance on the GAIA benchmark, outperforming Google by 15% in reasoning, tool use, and multimodal capabilities.

The course transitions from theory to application through hands-on demonstrations across diverse industries. Throughout the course, you’ll gain hands-on exposure to:

• The foundational architecture of AI agents within h2oGPTe

• How generative and predictive AI combine to drive decision-making

• Key benchmarks like GAIA that demonstrate agent performance

• Deployment caveats, safety guardrails, and real-world considerations

If you're a data scientist looking to automate complex workflows, a business leader exploring AI transformation, or a developer seeking to implement agentic systems, this course provides the knowledge and practical skills to harness the full potential of AI agents with Enterprise h2oGPTe .

By the end, you’ll not only understand how AI agents work, but also how to implement and scale them for meaningful impact. Whether you’re curious about the future of AI or ready to build with it, this course will prepare you to move from theory to practice.

Who this course is for:

  • Business leaders and decision-makers seeking to implement AI automation in their organizations.
  • Data scientists and analysts looking to enhance their workflows with agentic AI.
  • Technology professionals interested in the integration of generative and predictive AI.
  • Students and researchers curious about practical applications of cutting-edge AI agent technology.

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