H2O AI Agents : From Theory to Practice

Learn and apply AI agents using H2O Generative AI : Agentic workflows, automation, and real-world use cases.

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.