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Course Description

This course covers the practical application of artificial intelligence and machine learning tools within corporate finance and accounting workflows. It benefits financial analysts, controllers, and accounting professionals seeking to automate repetitive tasks and improve forecasting accuracy. Participants gain the technical capability to evaluate, select, and implement AI-driven solutions for data analysis, anomaly detection, and financial reporting.

Course Objectives

  • Identify use cases for artificial intelligence within financial accounting and reporting workflows

  • Apply machine learning models to improve financial forecasting and cash flow predictions
  • Detect financial anomalies and potential fraud using automated data screening techniques
  • Develop natural language processing workflows to analyze unstructured financial documents
  • Implement governance and risk management frameworks for AI adoption in finance

Who Should Attend?

Financial analysts, senior accountants, corporate controllers, and finance managers looking to integrate AI tools into daily operations.

Course Agenda

Day 1 – Foundations of AI in Finance

  • Overview of artificial intelligence and machine learning in financial operations

  • Landscape of current AI tools and platforms for accounting and finance
  • Data preparation, cleaning, and structuring for financial modeling
  • Ethical considerations, data privacy, and compliance in financial AI
  • Hands-on: Audit and clean a messy dataset of historical general ledger entries to prepare it for machine learning import.

Day 2 – Predictive Modeling and Anomaly Detection

  • Building automated cash flow and revenue forecasting models
  • Applying regression and time-series analysis to financial data
  • Automating invoice processing and expense categorization using computer vision and NLP
  • Implementing algorithms for fraud detection and transaction anomaly identification
  • Hands-on: Build a predictive cash flow model and run a test script to flag unauthorized or anomalous expense transactions.

Day 3 – Advanced Analytics, Governance, and Next Steps

  • Extracting structured financial data from unstructured reports using language models
  • Establishing internal controls and validation protocols for AI outputs
  • Managing change and team adoption for financial technology implementations
  • Course wrap-up, Q&A, and personal action planning for AI deployment
  • Hands-on: Design a risk governance framework and a 30-day implementation roadmap for deploying an AI tool within your department.

Assessment Methodology

All courses conducted by EdTech will begin with a Pre-evaluation and end with a Post-evaluation. The instructor will evaluate the knowledge and skills of the participants according to the feedback given by participants. This will help to recognize the benefits and the level of knowledge gained by participants through the course.

Training Methodology

Facilitated by a highly qualified specialist, who has extensive knowledge and experience; this program will be conducted using extensively interactive methods, encouraging participants to share their own experiences and apply the program material to real-life work situations in order to stimulate group discussions and improve the efficiency of the subject coverage.

Percentages of the total course hour classification are:

  • ​40% Theoretical lectures, Concepts and approach
  • 20% Motivation to develop individual skill and Techniques
  • 20% Case Studies and Practical Exercises
  • 20% Topic General Discussions and interaction

Course Manual

Participants will be provided with comprehensive presentation material as reference manual. This presentation material is a compilation of core valuable information, references, presentation methods and inspiring reading which will be used as a part of the material guide.

Course Certificate

At the completion of the course, all participants who successfully accomplished the required contact hours will receive an EdTech Training Participation Certificate as a testimony to their commitment to professional development and further education.

Why Edtech ?

  • Industry Experienced; Internationally Qualified Trainers
  • Hands-on Practical Sessions & Assignments
  • Intensive Study materials
  • Flexible Schedules
  • Realistic training methodology
  • High-Quality Training in Affordable Course Fees
  • Achievement Certificate, as approved by the Ministry of Education (Abu Dhabi Center for Technical and Vocational Education Training - ACTVET), HABC, AWS, IAOSHE, SHRM, etc.