Overview
The EXIN BCS AI Foundation course introduces AI as a methodology for building systems that learn from experience and mimic intelligent behavior. It goes beyond core terminology to explore AI’s role in the Fourth Industrial Revolution, ethical and sustainable AI, robotics integration, machine learning toolsets, and human–machine collaboration. It builds on the Essentials certification and prepares candidates for successful AI adoption in various organizational contexts.
Objectives
By the end of this course, leaner will be able to:
- Explain how AI aligns with Universal Design and the Fourth Industrial Revolution
- Describe AI intelligent agents and machine learning fundamentals
- Evaluate AI benefits, challenges, ethical issues, and sustainability
- Identify robotics applications and the human–AI collaborative future
- Understand roles and governance in AI-powered projects
Prerequisites
No formal prerequisites. This course is ideal for professionals involved in science, engineering, finance, education, IT services, or anyone aiming to implement AI within their organization.
Course Outline
Module 1: AI Principles & Foundationskeerti2025-06-24T09:14:13+05:30
- Introduction to AI as a learning system
- AI in Universal Design & the Fourth Industrial Revolution
Module 2: Intelligent Agents & Machine Learningkeerti2025-06-24T09:16:31+05:30
- Understanding intelligent agents
- Learning from data: ML functionality, software, and hardware
Module 3: AI Applications, Ethics & Sustainabilitykeerti2025-06-24T09:18:18+05:30
- AI ethics, sustainability, challenges, and risks
- AI in robotics and real-world applications
Module 4: Human–Machine Collaborationkeerti2025-06-24T09:20:13+05:30
- Future roles of humans and AI systems
- An agile, experience-based approach to AI projects
Module 5: Roles & Responsibilities in AI Projectskeerti2025-06-24T09:21:41+05:30
- Governance and stakeholder roles in AI initiatives
