AI for Executives: AI for Business Decision Making
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AI for Executives: AI for Business Decision Making
This course is part of AI for Executives Specialization
Instructor: Prof. Ernesto Damiani
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What you'll learn
Select and apply supervised, unsupervised, and reinforcement learning to real business decisions; gauge accuracy and reliability.
Prepare data, engineer features, and integrate validated models into existing workflows and systems to automate decisions.
Build an executive AI roadmap that balances impact with governance—privacy, security, bias, explainability, and human-in-the-loop practices.
Skills you'll gain
- LLM Application
- Data Ethics
- Data-Driven Decision-Making
- Predictive Analytics
- Strategic Decision-Making
- Workflow Management
- Advanced Analytics
- Natural Language Processing
- Data Governance
- Decision Support Systems
- Feature Engineering
- Data Preprocessing
- Decision Making
- AI Security
- Model Training
- Artificial Intelligence
- Responsible AI
- AI Integrations
- Governance
- Large Language Modeling
Details to know
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 3 modules in this course
AI for Business Decision Making equips managers and executives with practical, non-technical skills to lead AI-driven decisions across the enterprise. You’ll learn how supervised, unsupervised, and reinforcement learning improve decision accuracy; how to prepare data and engineer features; and how to train, validate, and integrate models into existing workflows and systems via APIs and automation. Through guided, hands-on notebooks, you’ll experiment with predictive analytics, Natural Language Processing (including sentiment analysis), and Large Language Models (LLMs) for real executive use cases—from customer feedback to process optimization and risk prediction. The course also covers governance and ethics (privacy, security, bias, explainability), human-in-the-loop design, and measuring business impact. Advanced topics introduce genetic/evolutionary methods and long-term reward optimization with reinforcement learning to inform strategy and planning. By the end, you’ll be able to select the right technique for a decision problem, evaluate model reliability, integrate AI into business processes, and build an actionable roadmap for sustainable, responsible AI adoption.
This module introduces participants to the essential concepts of Artificial Intelligence (AI) and its role in shaping business decision-making. Covering AI types, historical development, and ethical considerations, participants gain foundational knowledge crucial for understanding AI's impact on decision accuracy. This module sets the stage for practical applications and advanced techniques in subsequent sessions, providing a solid foundation for navigating the intersection of AI and effective decision-making in business.
What's included
6 videos3 readings1 assignment
6 videos•Total 21 minutes
- Introduction to the Specialization•2 minutes
- Introduction to Course Two•1 minute
- Introduction to Decision Science•4 minutes
- Learning How to Train Models to Make Decisions•6 minutes
- ML-Based Decision Making: Subjectivity and Bias•6 minutes
- ML-Based Decision Making: Assessing & Mitigating Bias•2 minutes
3 readings•Total 30 minutes
- Decision Science Key Concepts•10 minutes
- Reinforcement Learning Key Concepts•10 minutes
- ML Based Decision Making Key Concepts•10 minutes
1 assignment•Total 30 minutes
- Module 1 Quiz•30 minutes
This module is dedicated to the practical aspects of implementing AI decision models within a business framework. Participants will be guided through the process of building and training different types of AI models, encompassing model identification, data preparation, feature engineering, and the application of model training and validation techniques. The module further explores the seamless integration of AI into existing business systems, focusing on workflows, API integration, and efficient data flow management.
What's included
6 videos6 readings1 assignment
6 videos•Total 17 minutes
- Short Term and Long Term Rewards•4 minutes
- Improving Business Processes Using AI•4 minutes
- Introduction to RL Integration with Workflow Management Systems•3 minutes
- RL Integration with Workflow Management Systems Part One•2 minutes
- RL Integration with Workflow Management Systems Part Two•2 minutes
- RL Integration with Workflow Management Systems Part Three•2 minutes
6 readings•Total 60 minutes
- Short Term and Long Term Rewards Key Topics•10 minutes
- Improving Business Processes Using AI Key Topics•10 minutes
- Introduction to RL Integration with Workflow Management Systems Key Topics•10 minutes
- RL Integration with Workflow Management Systems Part One Key Topics•10 minutes
- RL Integration with Workflow Management Systems Part Two Key Topics•10 minutes
- RL Integration with Workflow Management Systems Part Three Key Topics•10 minutes
1 assignment•Total 30 minutes
- Module 2 Quiz•30 minutes
This module moves from model‑building mechanics to strategic, data‑driven decision support. You will compare supervised, unsupervised, and reinforcement techniques, apply natural‑language and predictive analytics—including large language models—to real business questions, and weigh machine‑learning recommendations against human cognitive factors to select the most effective approach for each decision context.
What's included
10 videos9 readings1 assignment
10 videos•Total 27 minutes
- Using Human Behavior and Text Analysis for Decision Insights•4 minutes
- Introduction to Utilizing Predictive Models for Business Strategy•3 minutes
- Utilizing Predictive Models for Business Strategy Part One•1 minute
- Utilizing Predictive Models for Business Strategy Part Two•2 minutes
- Utilizing Predictive Models for Business Strategy Part Three•3 minutes
- Introduction to Getting Advice from LLMs•4 minutes
- Getting Advice from LLMs Part One•2 minutes
- Getting Advice from LLMs Part Two•1 minute
- Artificial General Intelligence•5 minutes
- Course 2 Conclusion•1 minute
9 readings•Total 90 minutes
- Using Human Behavior and Text Analysis for Decision Insights Key Topics•10 minutes
- Introduction to Utilizing Predictive Models for Business Strategy Key Topics•10 minutes
- Utilizing Predictive Models for Business Strategy Part One Key Topics•10 minutes
- Utilizing Predictive Models for Business Strategy Part Two Key Topics•10 minutes
- Utilizing Predictive Models for Business Strategy Part Three Key Topics•10 minutes
- Introduction to Getting Advice from LLMs Key Topics•10 minutes
- Getting Advice from LLMs Part One Key Topics•10 minutes
- Getting Advice from LLMs Part Two Key Topics•10 minutes
- Artificial General Intelligence Key Topics•10 minutes
1 assignment•Total 30 minutes
- Module 3 Quiz•30 minutes
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