


Free Lesson
Agent Evaluation, Guardrails & Fail-Safe Design
60 min
Oct 30, 2026 8:30 AM
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What you'll learn
Evaluate Agent Quality and Task Success
Measure task completion, groundedness, tool-call correctness, policy compliance and end-to-end workflow reliability.
Design Effective Agent Guardrails
Implement input validation, output controls, tool permissions, policy enforcement and risk-based safety checks.
Build Fail-Safe Agent Workflows
Design retries, fallbacks, escalation paths and human-in-the-loop approvals to handle failures and uncertainty safely.
Close Production-Readiness Skill Gaps
Understand the evaluation, reliability, security and infrastructure skills needed to become a Production AI Engineer.
Why this topic matters
AI agents must do more than generate accurate responses. They need to execute workflows correctly, use tools safely, follow enterprise policies and recover from failures. Without evaluation, guardrails and fail-safe design, AI pilots can become operational risks. This session teaches the essential engineering practices for delivering reliable, secure and production-ready Agentic AI systems.
You'll learn from

Dr Ankur Narang
Dr. Ankur Narang brings 30+ yrs exp in AI, Tech across MNCs & many verticals
IBM Research; Hike; Apparel Group; Yatra




Kush Khurana
AI & ML leader; Venture Partner, DeepCoreX; Ashoka faculty
IBM Research; Hike; Apparel Group; Yatra








