PluralSight – AI Agent Reliability 2026
English | Tutorial | Size: 117.47 MB
Build reliable AI agents that use tools effectively. This course will teach you to diagnose and fix failures in multi-step agent workflows using OpenAI.
What you’ll learn
AI agents that use tools can revolutionize automation, but they often fail in unpredictable ways. In this course, AI Agent Reliability, you’ll learn to build robust agentic systems that handle real-world complexity. First, you’ll explore common failure modes in agent planning, grounding, and tool invocation. Next, you’ll discover how to improve agent behavior through better prompting, tool schema design, and validation logic. Finally, you’ll learn how to implement fallback strategies and stress test your agents for production readiness. When you’re finished with this course, you’ll have the skills and knowledge needed to build AI agents that consistently perform well even when faced with edge cases, API errors, and cascading failures.
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