IBM AI Foundations for Business Specialization Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This specialization provides business professionals with a practical understanding of AI and data science fundamentals, emphasizing strategic deployment through IBM's AI Ladder framework. With approximately 25 hours of content, learners will explore core AI concepts, data science principles, and real-world applications through hands-on projects designed for non-technical leaders. The course blends foundational knowledge with ethical considerations and organizational readiness assessments to prepare managers and executives to lead AI initiatives effectively.
Module 1: Introduction to Artificial Intelligence (AI)
Estimated time: 12 hours
- AI concepts and terminology
- Differences between machine learning and deep learning
- Generative AI and its business applications
- Ethical considerations in AI deployment
Module 2: What is Data Science?
Estimated time: 11 hours
- Definition and scope of data science
- Career paths in data science
- Industry demand drivers for data science
- Best practices in data-driven decision-making
Module 3: The AI Ladder: A Framework for Deploying AI in Your Enterprise
Estimated time: 2 hours
- Stages of the AI Ladder framework
- Information architecture for AI readiness
- AI governance and strategic deployment steps
Module 4: Final Project
Estimated time: 5 hours
- Design a generative AI solution for a business challenge
- Reflect on data-driven decision-making in your organization
- Map your organization’s AI readiness using the AI Ladder model
Prerequisites
- No technical background required
- Interest in AI and business transformation
- Familiarity with basic business operations
What You'll Be Able to Do After
- Explain the fundamental concepts and applications of AI in various business domains
- Describe core principles of machine learning, deep learning, and neural networks
- Define data science and identify key career paths and industry practices
- Summarize the AI Ladder framework to plan and deploy AI solutions effectively
- Apply ethical and strategic considerations when leading AI initiatives