Overview
The EXIN BCS Artificial Intelligence Essentials course provides an introductory foundation into AI, focusing on how AI systems learn from experience and mimic intelligent behavior. It covers the benefits and challenges of AI, machine learning mechanisms, and explores future human-machine collaboration. The certification evaluates understanding of core AI terminology and principles.
Objectives
By the end of this course, leaner will be able to:
- Recall definitions of human and artificial intelligence
- Describe the concept of “learning from experience” in Machine Learning (per Tom Mitchell)
- Explain how AI fits within the Fourth Industrial Revolution and Universal Design
- Identify benefits, ethical challenges, and limitations of AI projects
- Understand AI risks, funding sources, and real-world opportunities
- Recognize future collaboration between humans and machine-learning systems
- List future directions of human-machine cooperation
Prerequisites
No formal prerequisites—this course is ideal for professionals in science, engineering, finance, or IT services, or anyone with interest in applying AI within organizations.
Course Outline
Module 1: Introduction to AIkeerti2025-06-20T17:06:54+05:30
- Artificial and Human Intelligence: An Introduction and History
Module 2: Benefits, Challenges & Riskskeerti2025-06-20T17:09:44+05:30
- Examples of AI: Benefits, Challenges and Risks
Module 3: Machine Learning Basicskeerti2025-06-20T17:11:23+05:30
- An Introduction to Machine Learning (ML)
Module 4: AI & the Futurekeerti2025-06-20T17:13:18+05:30
- The Future of Artificial Intelligence – Human and Machine Together
