AI For Business Leaders Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This course is designed for business leaders and non-technical professionals seeking to understand and leverage AI in strategic decision-making. The curriculum covers core AI concepts, real-world applications, and implementation frameworks without requiring coding expertise. With approximately 15-20 hours of content, learners will gain actionable insights through case studies, peer-reviewed assessments, and practical exercises focused on business integration. Offered by the University of Maryland on Coursera, this advanced course equips leaders to drive AI adoption and digital transformation in their organizations.
Module 1: Foundations of Computing & Algorithms
Estimated time: 2 hours
- Discussion of best practices and industry standards in computing
- Case study analysis with real-world examples
- Introduction to computational thinking for problem-solving
- Understanding algorithm design principles
Module 2: Neural Networks & Deep Learning
Estimated time: 3 hours
- Introduction to key concepts in neural networks and deep learning
- Discussion of best practices and industry applications
- Hands-on exercises applying deep learning techniques
- Understanding core AI concepts and models
Module 3: AI System Design & Architecture
Estimated time: 3 hours
- Introduction to key concepts in AI system design
- Review of tools and frameworks used in AI architecture
- Hands-on exercises in designing scalable AI systems
- Guided project work with instructor feedback
Module 4: Natural Language Processing
Estimated time: 4 hours
- Introduction to key concepts in natural language processing
- Interactive lab: Building practical NLP solutions
- Review of tools and frameworks in NLP
- Case study analysis with real-world applications
Module 5: Computer Vision & Pattern Recognition
Estimated time: 2 hours
- Introduction to key concepts in computer vision
- Discussion of best practices in pattern recognition
- Assessment through quiz and peer-reviewed assignment
- Guided project work with instructor feedback
Module 6: Deployment & Production Systems
Estimated time: 4 hours
- Introduction to key concepts in deployment and production systems
- Hands-on exercises applying deployment techniques
- Case study analysis with real-world examples
Prerequisites
- No technical background required
- Familiarity with business strategy and management concepts
- Interest in AI-driven innovation and digital transformation
What You'll Be Able to Do After
- Understand core AI concepts including neural networks and deep learning
- Apply AI knowledge to real-world business challenges
- Make informed, AI-driven strategic decisions
- Lead AI adoption and digital transformation initiatives
- Design scalable AI solutions aligned with business goals