Managerial Decision-Making Systems with AI

1. Training Introduction

The Managerial Decision-Making Systems with AI program is designed to equip current and aspiring managers with advanced knowledge and practical skills for integrating Artificial Intelligence (AI) into organizational decision-making processes.

The course explores how AI enhances managerial judgment, optimizes choices under uncertainty, automates routine decisions, and supports strategic planning. Participants will learn to design, implement, and evaluate AI-enabled decision systems across business functions such as finance, operations, human resources, risk management, and corporate strategy.

This training bridges management science, data analytics, and AI technologies, empowering managers to lead data-driven transformation within modern enterprises.

 

2. Training Objective

The primary objectives of the program are to:

• Provide a deep understanding of AI tools and their application to management decision-making.
• Enhance participants’ ability to interpret data, build models, and generate actionable insights.
• Equip managers with skills to design and deploy AI-driven decision support systems (DSS).
• Improve strategic, operational, and tactical decision-making using AI.
• Build competence in ethical and responsible AI implementation.
• Prepare participants for leadership roles in AI-enabled organizations.

 

3. Targeted Group

This program is ideal for:

• Managers and senior executives
• Strategic planners and business analysts
• Project managers and operations leaders
• Data analysts and digital transformation officers
• HR and Finance managers
• Public sector administrators and policy decision-makers
• Anyone seeking managerial proficiency in AI-supported decision systems

 

4. Course Duration

12–16 days

• Full program: 16 days
• Executive fast-track: 12 days

 

5. Training Methodology

• Expert-led lectures and guided learning
• Practical exercises using AI tools for decision modeling
• Case studies based on real organizational decisions
• Group discussions and managerial scenario analyses
• Hands-on sessions using predictive analytics, dashboards, and simulations
• Capstone project building a managerial AI decision system
• Continuous assessment through workshops and practical tasks

 

6. Course Content

Module 1: Foundations of Managerial Decision-Making

• Decision types: strategic, operational, tactical
• Managerial decision frameworks
• Biases, uncertainty, and complexity in organizational decisions

Module 2: Introduction to AI in Management

• Overview of AI technologies
• How AI supports and augments managerial decisions
• Benefits, limitations, and misconceptions

Module 3: Data-Driven Decision-Making

• Data collection and processing
• Analytical reasoning for managers
• Data visualization for effective decision support

Module 4: Machine Learning for Decision Support

• Predictive modeling for managerial decisions
• Classification and regression for business insights
• Practical applications across business units

Module 5: Optimization and Simulation Tools

• Linear and nonlinear optimization
• Monte Carlo simulations
• Scenario planning using AI tools

Module 6: AI-Enabled Decision Support Systems (DSS)

• Architecture of decision-support systems
• Automated vs augmented decision-making
• Building AI-driven dashboards

Module 7: AI for Strategic Management

• Strategic forecasting and trend analysis
• AI for competitive intelligence
• AI-supported corporate strategy formulation

Module 8: AI in Operations and Supply Chain Decisions

• Demand forecasting
• Inventory optimization
• Process automation and workflow intelligence

Module 9: AI for Financial Decision-Making

• Credit scoring models
• Profitability, budgeting, and financial forecasting
• Risk management analytics

Module 10: AI for Human Resource Decisions

• Talent analytics and workforce planning
• AI-based performance evaluation
• Ethical considerations in HR AI

Module 11: AI for Marketing and Customer Engagement

• Customer segmentation and personalization
• Predictive sales analytics
• AI-enhanced customer experience design

Module 12: AI for Public Sector and Policy Decision-Making

• AI for governance and public service delivery
• Data-driven policy evaluation
• Transparent and responsible public decision-making

Module 13: Ethics, Trust, and Responsible AI

• AI governance and regulatory frameworks
• Transparency, fairness, and bias mitigation
• Building trustworthy decision systems

Module 14: Implementing AI in Organizations

• Change management for AI adoption
• Digital transformation frameworks
• Overcoming cultural and technical barriers

Module 15: Managerial AI Tools and Hands-On Laboratory

• Practical tools: Power BI, Python basics, decision engines
• Building automated reports and AI decision workflows
• Hands-on exercises using real business datasets

Module 16: Capstone Project – AI-Enhanced Decision System

• Build a full managerial decision-making system for a chosen domain
• Apply data analytics, modeling, and AI decision tools
• Present solution, insights, and implementation roadmap

 

7. Expected Learning Outcomes

Upon completion, participants will be able to:

• Understand and apply AI in strategic, tactical, and operational decisions.
• Build, interpret, and evaluate AI-driven decision models.
• Use data analytics and machine learning to optimize managerial decisions.
• Design and implement organizational AI decision support systems.
• Apply ethical, responsible, and transparent AI practices.
• Lead AI transformation initiatives with strong managerial insights.

 

8. Certificate of Completion

Participants who successfully complete all modules, exercises, and the capstone project will be awarded:

Certificate of Completion

Managerial Decision-Making Systems with AI

Issued by FOTADE Training, Research and Resource Development Centre

This certificate verifies the participant’s competency in AI-supported decision-making, managerial analytics, and the design of AI-enabled decision systems.