Risk Analytics and AI Decision Tools Course

Name: Risk Analytics and AI Decision Tools Course
Availability: InStock

Apply data, indicators, predictive methods, dashboards, and oversight controls to support explainable organizational risk decisions.

At a glance

Duration: 5 days
Format: Classroom
Cities: Abu Dhabi, Amman, Sharm El-Sheikh, New York, Johannesburg, London and more
Next session: 12 – 16 October 2026, Abu Dhabi
Average fee: 5,800 €

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Risk Analytics and AI Decision Tools Course

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Overview

The Risk Analytics and AI Decision Tools Course is a five-day intermediate course for risk, control, governance, and data professionals who leave with a Risk Analytics and AI Action Plan. It connects risk data preparation, key risk indicators, descriptive analysis, visualization, predictive methods, anomaly detection, scenario analysis, dashboards, model limitations, and human oversight. Participants convert evidence into monitored and explainable risk decisions. Agile Leaders Training Center delivers this course on risk analytics and AI decision tools.

Who Should Attend

Teams responsible for identifying, measuring, and monitoring organizational risk
Professionals responsible for control analysis and risk indicator reporting
Governance functions responsible for oversight of analytics-supported decisions
Data specialists responsible for preparing and interpreting risk information
Decision-support teams responsible for scenarios, dashboards, and management reporting

The course assumes participants work with risk assessments or organizational data and leaves out advanced programming, production model development, and specialist quantitative finance.

Departments and Industries

The course supports analytics-informed risk decisions across regulated and operational settings.

Enterprise risk, governance, and internal control
Financial services and insurance operations
Energy, utilities, and asset operations
Healthcare quality and service risk
Supply chain, logistics, and procurement

Learning Objectives

By the end of this course, participants will be able to:

Analyze risk questions and data readiness
Build key risk indicators and visual summaries
Apply predictive methods and anomaly detection
Compare scenarios and prioritize risk responses
Evaluate model limitations and human oversight controls
Create a Risk Analytics and AI Action Plan

Course Agenda

Day 1: Risk Questions and Data Readiness

ISO 31000 Risk Process Mapping Canvas
Risk Decision and Analytical Question Register
Risk Data Source and Lineage Map
Data Quality and Missingness Assessment
Analytics Use Case Prioritization Matrix

Day 2: Indicators and Descriptive Analytics

Key Risk Indicator Design Template
Risk Threshold and Escalation Logic
Descriptive Distribution and Trend Analysis
Risk Heat Map and Concentration View
Indicator Visualization and Narrative Checklist

Day 3: Prediction and Anomaly Signals

Risk Feature Selection and Assumption Log
Predictive Classification Method Comparison
Anomaly Detection Signal Design
False Positive and False Negative Tradeoff Matrix
Model Output Interpretation Guide

Day 4: Scenarios Dashboards and Oversight

Risk Scenario and Sensitivity Analysis
Management Risk Dashboard Wireframe
Model Limitation and Uncertainty Register
Human Review and Override Control Map
Responsible AI Decision Review Checklist

Day 5: Risk Analytics Practice

Suggested Exercise: Risk Data Readiness Review
Suggested Exercise: Indicator and Dashboard Design
Suggested Exercise: Anomaly Signal Interpretation
Suggested Exercise: Scenario and Oversight Challenge
Capstone Exercise: Risk Analytics and AI Action Plan

Practical Exercises

The course includes suggested activities for turning risk data into controlled management decisions.

Suggested activity: assess data readiness for an operational risk question.
Suggested activity: design indicators and a dashboard for supply-chain disruption risk.
Suggested activity: interpret anomaly signals and challenge false alerts in transaction data.
Suggested activity: present a Risk Analytics and AI Action Plan with oversight controls.

FAQs

Who suits the Risk Analytics and AI Decision Tools Course?

Risk managers, analysts, control professionals, governance teams, data specialists, and decision-support functions suit the course; it assumes experience with risk assessments or organizational data.

How does risk analytics differ from a general data analytics course?

Risk analytics frames data preparation, indicators, models, scenarios, and dashboards around uncertainty, exposure, controls, escalation, and management decisions rather than broad analytical exploration.

How can AI tools support risk identification?

AI tools can surface patterns, classifications, and unusual observations that support risk review, while practitioners retain responsibility for context, validation, limitations, and decisions.

Why does anomaly detection require human oversight?

Anomaly detection identifies observations that differ from expected patterns, but unusual does not always mean harmful, so reviewers must assess context, false alerts, and response consequences.

What belongs in a risk analytics and AI action plan?

A risk analytics and AI action plan links decisions, data sources, indicators, analytical methods, scenarios, dashboards, limitations, owners, human review controls, and monitoring actions.

Conclusion

Participants leave with a Risk Analytics and AI Action Plan linking risk questions, data, indicators, models, scenarios, dashboards, and oversight. The work product improves the traceability of analytics-supported decisions. It gives risk and governance teams a reusable basis for prioritizing use cases, challenging outputs, and monitoring implementation.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 1-20 of 76 events

Location	Dates	Duration	Mode	Price
Abu Dhabi	Week 42, 2026 12 – 16 October 2026	5 Days	Onsite	€4,700
Amman	Week 42, 2026 18 – 22 October 2026	5 Days	Onsite	€4,100
Sharm El-Sheikh	Week 44, 2026 26 – 30 October 2026	5 Days	Onsite	€4,100
New York	Week 44, 2026 26 – 30 October 2026	5 Days	Onsite	€12,000
Johannesburg	Week 44, 2026 1 – 5 November 2026	5 Days	Onsite	€4,500
London	Week 46, 2026 9 – 13 November 2026	5 Days	Onsite	€5,700
Singapore	Week 46, 2026 9 – 13 November 2026	5 Days	Onsite	€5,700
Madrid	Week 47, 2026 16 – 20 November 2026	5 Days	Onsite	€5,700
Riyadh	Week 47, 2026 22 – 26 November 2026	5 Days	Onsite	€5,700
Baku	Week 49, 2026 30 November – 4 December 2026	5 Days	Onsite	€5,000
Trabzon	Week 49, 2026 6 – 10 December 2026	5 Days	Onsite	€6,800
Dubai	Week 50, 2026 7 – 11 December 2026	5 Days	Onsite	€4,500
Al Jubail	Week 50, 2026 13 – 17 December 2026	5 Days	Onsite	€5,700
Toronto	Week 50, 2026 13 – 17 December 2026	5 Days	Onsite	€12,000
Rome	Week 52, 2026 21 – 25 December 2026	5 Days	Onsite	€5,700
Abu Dhabi	Week 53, 2026 28 December 2026 – 1 January 2027	5 Days	Onsite	€4,700
Tokyo	Week 01, 2027 4 – 8 January 2027	5 Days	Onsite	€10,000
Berlin	Week 01, 2027 4 – 8 January 2027	5 Days	Onsite	€5,700
Manama	Week 01, 2027 10 – 14 January 2027	5 Days	Onsite	€4,700
London	Week 03, 2027 18 – 22 January 2027	5 Days	Onsite	€5,700

Frequently asked questions

What does this course cover?

OverviewThe Risk Analytics and AI Decision Tools Course is a five-day intermediate course for risk, control, governance, and data professionals who leave with a Risk Analytics and AI Action Plan. It connects risk data preparation, key risk indicators, descriptive analysis, visualization, predictive methods, anomaly detection, scenario analysis, dashboards…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Risk Analytics and AI Decision Tools Course