Course Overview
- Course Title: H2O AI Agents: From Theory to Practice
- Instructor: H2O.ai University (Global Training at H2O.ai)
- Target Audience:
- Data scientists seeking to automate complex workflows
- Business leaders exploring AI-driven transformation
- Developers implementing agentic AI systems
- Beginners with basic AI/ML knowledge (optional)
- Prerequisites:
- Basic understanding of AI or machine learning (helpful but not mandatory)
- No prior experience with AI agents required
- Access to a modern web browser (for h2oGPTe demos)
Curriculum Highlights
- Key Topics Covered:
- AI agent architecture: LLMs, tools, and memory systems
- Autonomous AI workflows using h2oGPTe
- Generative vs. predictive AI integration for business solutions
- GAIA benchmark performance: h2oGPTe vs. Google (15% reasoning advantage)
- Deployment best practices: Guardrails, testing, and safety protocols
- Industry-specific applications (cross-sector demonstrations)
- Key Skills Learned:
- Designing end-to-end AI agent systems
- Implementing h2oGPTe for autonomous workflows
- Combining generative and predictive AI for decision-making
- Evaluating AI agent performance using benchmarks (e.g., GAIA)
- Applying safety guardrails in real-world deployments
Course Format
- Duration: 1 hour on-demand video
- Format: Self-paced online course (lifetime access)
- Resources:
- 1 downloadable resource (course materials)
- Mobile and TV access
- Certificate of completion (Udemy-verified)
Additional Information
- Instructor Stats:
- 4.5/5 instructor rating (499 reviews)
- 8,353 students enrolled across 15 courses
- Focus Tools/Platforms: h2oGPTe (Enterprise AI agent framework)