Data and AI

Evaluating and Monitoring AI Systems

Build genuine, ongoing evaluation and monitoring practice across prompts, agents, and automations — not just at initial launch

12h4 lessonsTier 2 hireabilityTier 2 certificate

What you'll be able to do

You can design a genuine evaluation framework spanning an AI system's full lifecycle, set meaningful monitoring thresholds and alerts, and communicate AI system performance clearly to non-technical business stakeholders.

Job titles this qualifies you for

AI Operations SpecialistAI Implementation Consultant
Market intelligence
Demand
High
Remote
80% remote roles
Nigeria salary
Not a primary local hiring category for employed roles; consulting engagement income is highly variable
Remote (USD)
AI Prompt Engineer roles average $116,200-$140,324/year (25th-75th percentile $116,238-$172,544); AI/Automation Specialist roles average $127,500/year remote ($115,000-$140,000 range) — job title alone can shift reported pay significantly, with 'specialist' titles sometimes paid notably less than 'engineer' titles for comparable work

Lessons

Stage 1 — Foundation
1
A Unified Evaluation Framework Across AI System Types
30 min
2
Setting Meaningful Monitoring Thresholds and Alerts
30 min
Stage 2 — Applied
1
Communicating AI Performance to Business Stakeholders
30 min
2
Building a Sustainable AI Operations Practice
20 min
Tier 2 Proof Submission

Evaluating and Monitoring AI Systems Portfolio

Demonstrate genuine unified evaluation framework design, monitoring/alerting discipline, stakeholder communication, and sustainable operations judgement.

1.A correctness/consistency/safety evaluation plan with a metric-differentiation explanation
2.A performance threshold and severity-differentiated escalation design
3.A technical-to-business translation and a proactive-limitation disclosure
4.A documentation approach and a monitoring-proportionality explanation
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