Course Description

This five-day practical course is designed to enhance the financial planning and budgeting capabilities of professionals tasked with business strategy execution. Covering strategic planning frameworks, budgeting methodologies, cost control, forecasting, variance analysis, and financial modeling, the course emphasizes both macro-level corporate strategy alignment and department-level implementation. Participants will gain the skills to design agile and responsive budgets that support organizational performance and adaptability.

Course Objectives

  • Understand the impact of AI on finance and reporting
  • Use AI-enabled tools for data collection and consolidation
  • Automate financial statements and reduce reporting cycle time
  • Implement predictive analytics for cost optimization
  • Identify cost drivers using machine learning algorithms
  • Apply robotic process automation (RPA) in finance tasks
  • Visualize data effectively using BI platforms (Power BI, Tableau)
  • Interpret large datasets to derive actionable insights
  • Enhance compliance and reduce reporting errors
  • Design AI-based reporting dashboards for decision support

Who Should Attend?

This course is intended for finance managers, business analysts, data-driven CFOs, controllers, cost accountants, IT-finance liaisons, and professionals seeking to embrace digital transformation within the financial domain. It is particularly valuable for those responsible for performance measurement, cost efficiency, and financial innovation.

Course Agenda

Registration

Welcome & Introduction

Pre-Test

Day 1: The Digital Finance Transformation

  • Overview of digital transformation in finance
  • AI and machine learning concepts relevant to finance
  • Disruptive technologies in financial services
  • Challenges in traditional financial reporting
  • Case examples of AI in global finance departments
  • Digital competencies for modern financial professionals
  • Governance and ethical considerations in AI use
  • Digital maturity of your finance team
  • Interactive session: Mapping finance pain points for AI
  • AI tools landscape in finance

Day 2: Automating Financial Reporting

  • Automated data collection and integration
  • Streamlining journal entries and reconciliations
  • Real-time dashboards and smart close processes
  • NLP in report writing and interpretation
  • Auto-generated P&L and balance sheet reporting
  • Compliance frameworks supported by AI
  • RPA bots for repetitive financial tasks
  • Case study: Reducing month-end closing from 10 to 2 days
  • Build a reporting automation flow
  • Design feedback and enhancements

Day 3: AI for Cost Optimization

  • AI cost classification and pattern detection
  • Data modeling to identify hidden cost inefficiencies
  • Predictive analytics for future cost trends
  • Linking cost behavior with external variables
  • Intelligent procurement and spend analytics
  • Process mining for operational cost control
  • Real-time alerts for budget overspend
  • AI-based cost dashboard walkthrough
  • Cost optimization using ML algorithms
  • Building a predictive cost model

Day 4: Data Visualization and Insight Communication

  • Data storytelling in financial reporting
  • Dashboards for executives and budget holders
  • Power BI, Tableau, and Google Looker basics
  • KPI visualization and alert systems
  • Connecting databases and cloud-based reporting
  • Creating user-friendly financial interfaces
  • Building a Power BI dashboard​
  • Critiquing data visual reports
  • Design interactive cost summary visualizations

Day 5: Strategic Application

  • Building a digital roadmap for finance
  • AI-enhanced budget performance review
  • AI maturity assessment for your finance team
  • Group capstone project: End-to-end digital reporting solution
  • Cost-benefit analysis of automation projects
  • Risk mitigation and data governance

Post Test

End of the Course

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.