AI Augmented Decision Making For Business Leaders Course Syllabus

Overview: This course is designed for business leaders and executives with little to no technical background who want to understand how AI can enhance decision-making in real-world business contexts. The curriculum emphasizes strategic thinking, practical applications, and organizational leadership in AI adoption. With a total time commitment of approximately 15–18 hours, learners will progress through six modules that combine conceptual understanding with case studies and guided exercises to build confidence in leveraging AI for business strategy.

Module 1: Foundations of Computing & Algorithms

Estimated time: 2 hours

• Case study analysis with real-world examples
• Discussion of best practices and industry standards
• Review of tools and frameworks commonly used in practice
• Introduction to computational thinking for problem solving

Module 2: Neural Networks & Deep Learning

Estimated time: 2.5 hours

• Introduction to core AI concepts including neural networks and deep learning
• Evaluation of model performance using metrics and benchmarks
• Discussion of best practices and industry standards
• Review of tools and frameworks commonly used in practice

Module 3: AI System Design & Architecture

Estimated time: 3 hours

• Hands-on exercises applying AI system design & architecture techniques
• Discussion of best practices and industry standards
• Interactive lab: Building practical solutions
• Understanding scalable AI systems in business environments

Module 4: Natural Language Processing

Estimated time: 3.5 hours

• Introduction to key concepts in natural language processing
• Hands-on exercises applying NLP techniques
• Case study analysis with real-world examples
• Guided project work with instructor feedback

Module 5: Computer Vision & Pattern Recognition

Estimated time: 4 hours

• Introduction to key concepts in computer vision & pattern recognition
• Hands-on exercises applying computer vision techniques
• Case study analysis with real-world examples
• Applications of visual AI in business decision-making

Module 6: Deployment & Production Systems

Estimated time: 1.5 hours

• Introduction to key concepts in deployment & production systems
• Case study analysis with real-world examples
• Discussion of best practices and industry standards
• Understanding the lifecycle of AI-powered applications in enterprise settings

Prerequisites

• No technical background required
• Familiarity with basic business operations and leadership roles
• Interest in AI-driven decision-making and strategic planning

What You'll Be Able to Do After

• Understand core AI concepts and their relevance to business strategy
• Evaluate AI model performance using appropriate benchmarks
• Apply computational thinking to solve complex business problems
• Implement prompt engineering techniques for large language models
• Build and deploy AI-powered applications using modern frameworks