CERTIFIED AI FINANCIAL PROFESSIONAL

Available Dates & Locations

Dates
January 19, 2026
January 23, 2026
Location
Dubai
Duration
5 Days
Venue
09:00 am – 03:30 pm (Dubai)
Language
EN
Fees

$5,450.00

Dates
January 19, 2026
January 23, 2026
Location
Virtual Live
Duration
5 Days
Venue
09:00 am – 03:30 pm (Dubai)
Language
EN
Fees

$3,850.00

Dates
June 29, 2026
July 3, 2026
Location
London
Duration
5 Days
Venue
09:00 am – 03:30 pm (London)
Language
EN
Fees

$6,050.00

Dates
June 29, 2026
July 3, 2026
Location
Virtual Live
Duration
5 Days
Venue
09:00 am – 03:30 pm (London)
Language
EN
Fees

$3,850.00

Dates
December 7, 2026
December 11, 2026
Location
Dubai
Duration
5 Days
Venue
09:00 am – 03:30 pm (Dubai)
Language
EN
Fees

$5,450.00

Dates
December 7, 2026
December 11, 2026
Location
Virtual Live
Duration
5 Days
Venue
09:00 am – 03:30 pm (Dubai)
Language
EN
Fees

$3,850.00

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COURSE OVERVIEW

The Certified AI Financial Professional course is designed to provide finance professionals with a structured understanding of how artificial intelligence is reshaping financial thinking, analysis, and decision-making. The program focuses on practical financial applications of AI concepts, emphasizing data interpretation, forecasting logic, risk awareness, and insight generation within financial environments. Participants will explore how AI supports more informed financial judgments while maintaining clarity, transparency, and professional responsibility. The course builds confidence in applying AI-driven perspectives across planning, analysis, and performance evaluation contexts relevant to modern finance functions.

COURSE OBJECTIVES

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

  • Explain artificial intelligence concepts in a financial context.
  • Interpret financial data prepared for AI based analysis.
  • Analyze predictive outcomes used in financial planning.
  • Assess financial risks associated with AI driven results.
  • Translate AI generated insights into financial conclusions.

NOTE: This course requires the use of laptops with Excel 2019/365, Delegates must bring their own laptops with Windows-based Excel.

accounting for non accountants

TARGET COMPETENCIES

  • AI Concepts within Financial Environments
  • Financial Data Understanding and Preparation
  • Predictive Thinking in Financial Planning
  • Risk Awareness in AI-Based Financial Analysis
  • AI-Driven Financial Insights
  • Finance professionals
  • Financial analysts
  • Budgeting and planning staff
  • Accounting and reporting professionals
  • Risk and performance analysts
  • Professionals supporting finance decision making

Interactive demonstrations, hands-on exercises, and guided analysis using Microsoft Copilot AI within Excel and on real financial datasets.

AI CONCEPTS WITHIN FINANCIAL ENVIRONMENTS

  • Definition and scope of artificial intelligence in finance
  • Differences between traditional financial analysis and AI based approaches
  • Role of data driven reasoning in financial decision-making
  • Common financial functions influenced by AI concepts
  • Expectations and limitations of AI in finance

FINANCIAL DATA UNDERSTANDING AND PREPARATION

  • Types of financial data used in AI analysis
  • Importance of data accuracy and consistency
  • Structure of financial datasets for analytical purposes
  • Common data challenges in financial environments
  • Relationship between data quality and financial outcomes

PREDICTIVE THINKING IN FINANCIAL PLANNING

  • Concept of prediction in financial contexts
  • Historical data for future oriented analysis
  • Interpretation of trends and patterns in financial data
  • Scenario based thinking using predictive results
  • Role of judgment alongside predictive outcomes

RISK AWARENESS IN AIBASED FINANCIAL ANALYSIS

  • Nature of uncertainty in AI driven financial results
  • Financial risk considerations linked to predictive analysis
  • Sensitivity of outcomes to data and assumptions
  • Reliability concerns in financial interpretations
  • Communication of risk related insights

INTERPRETATION OF AIDRIVEN FINANCIAL INSIGHTS

  • Interpretation of analytical outputs
  • Financial storytelling using AI supported results
  • Alignment of insights with financial objectives
  • Decision support using interpreted outcomes
  • Practical implications for finance professionals
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