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H2O.ai Agents : From Theory to Practice

位教师：H2O.ai University

6,484 人已注册

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5个模块

深入了解一个主题并学习基础知识。

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中级等级

推荐体验

1 小时完成

灵活的计划

自行安排学习进度

5个模块

深入了解一个主题并学习基础知识。

50 条评论

中级等级

推荐体验

1 小时完成

灵活的计划

自行安排学习进度

您将学到什么

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

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作业

1 项作业

授课语言：英语（English）

91% of learners achieved a positive career outcome

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有5个模块

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 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.