Udemy - AI Agent Assurance - Evals, Hallucinations and Monitoring

AI Agent Assurance: Evals, Hallucinations & Monitoring

https://WebToolTip.com

Published 8/2026
Created by Dr. Amar Massoud
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 55 Lectures ( 4h 37m ) | Size: 3.6 GB

Prove your AI agents work — evals, hallucination taxonomies, oversight & observability

What you'll learn
⚡ Write behavior and boundary statements that are observable, bounded and falsifiable
⚡ Rank what to test hardest using consequence tiers and structural likelihood signals
⚡ Classify any agent failure with a six-mechanism hallucination taxonomy
⚡ Design golden-set, rubric, trajectory and adversarial evaluations — and know where each misleads
⚡ Instrument LLM-as-judge for position, verbosity and self-preference bias
⚡ Build a test-case library with traceable coverage and defensible pass/warn/fail thresholds
⚡ Design human review as a real control under EU AI Act Article 14
⚡ Specify monitoring signals, cost guards and drift detection for a production agent
⚡ Triage an agent incident to the layer that actually broke
⚡ Make and document a defensible go/no-go release decision, and write the assurance report

Requirements
❗ Working familiarity with what an AI agent is — tools, autonomy, multi-step tasks
❗ No coding required. Every artifact is a document, matrix or checklist a non-engineer can own
❗ A spreadsheet application (Excel, Google Sheets or equivalent) for the templates