Emerging Technologies Certifications
Artificial Intelligence Foundation
Artificial Intelligence (AI) is a methodology for using a non-human system to learn from experience and imitate human intelligent behavior. The EXIN BCS Artificial Intelligence Foundation certification tests a candidate’s knowledge and understanding of the terminology and general principles of AI.
This Foundation certificate includes and expands on the knowledge taught in the EXIN BCS Essentials Certificate in Artificial Intelligence.
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Artificial Intelligence Foundation Certification
Artificial Intelligence (AI) is a methodology for using a non-human system to learn from experience and imitate human intelligent behavior. The EXIN BCS Artificial Intelligence Foundation certification tests a candidate’s knowledge and understanding of the terminology and general principles of AI.
Artificial Intelligence Foundation Course Overview
Candidates should be able to demonstrate a knowledge and understanding in the application of ethical and sustainable Artificial Intelligence:
- Human-centric Ethical and Sustainable Human and Artificial Intelligence
- Artificial Intelligence and Robotics
- Applying the benefits of AI projects – challenges and risks
- Machine Learning Theory and Practice – Building a Machine Learning (ML) Toolbox
- The Management, Roles and Responsibilities of Humans and Machines – The Future of AI
Course Overview
- Course accredited by EXIN
- 2 days live virtual sessions with accredited trainers for online live learning + Lifetime access to E-learning
- Certification exam included
- High-quality E-learning material for self-paced learning
- E-learning access includes quizzes and mock exams
- Doubt clearance sessions included
- Ethical and Sustainable Human and Artificial Intelligence (AI)
- Artificial Intelligence (AI) and Robotics
- Benefits of Artificial Intelligence
- Starting Artificial Intelligence
- The Management, R&R of Humans and Machines
Course Curriculum
Target Audience
The EXIN BCS Artificial Intelligence Foundation certification is focused on individuals with an interest in, (or need to implement) AI in an organization, especially those working in areas such as science, engineering, knowledge engineering, finance, education or IT services.
Pre-requisites
For attending the course, no pre-requisites are required. However, for achieving the certificate, one must complete an accredited Lean Six Sigma Green Belt training, including completion of the training assignments. Also required is successful passing in the certification examination.
Certification Examination Details
- No. of questions: 40
- Pass mark: 65% (26/40)
- Exam Institute: EXIN
- Exam structure: Objective testing format
- Exam duration: 60 Minutes
- Open book/notes: No
- Electronic Devices: No
Course Content
- Recall the General Definition of Human and Artificial Intelligence
- Describe what are Ethics and Trustworthy Artificial Intelligence
- Describe the Three Fundamental Areas of Sustainability and the United Nation’s Seventeen Sustainability Goals
- Describe how Artificial Intelligence (AI) is Part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution’
- Understand that Machine Learning (ML) is a Significant Contribution to the Growth of Artificial Intelligence (AI)
- Demonstrate Understanding of the Artificial Intelligence (AI) Intelligent Agent Description
- Describe what a Robot is
- Describe what an Intelligent Robot is
- Describe how Sustainability Relates to Human-Centric Ethical Artificial Intelligence (AI) and how our Values will Drive our use of Artificial Intelligence (AI) and will Change Humans, Society and Organizations
- Explain the Benefits of Artificial Intelligence
- Describe the Challenges of Artificial Intelligence
- Demonstrate Understanding of the Risks of Artificial Intelligence (AI) Projects
- List Opportunities for Artificial Intelligence
- Identify a Typical Funding Source for Artificial Intelligence (AI) Projects and Relate to the NASA Technology Readiness Levels (TRLs)
- Describe how we Learn from Data – Functionality, Software and Hardware
- Recall which Typical, Narrow Artificial Intelligence (AI) Capability is Useful in Machine Learning (ML) and Artificial Intelligence (AI) Agents’ Functionality
- Demonstrate an Understanding that Artificial Intelligence (AI) (in Particular, Machine Learning (ML)) will Drive Humans and Machines to Work Together
- List Future Directions of Humans and Machines Working Together
- Describe a ‘Learning from Experience’ Agile Approach to Projects
Learning Options
- Lifetime access to high-quality self-paced eLearning content curated by industry experts
- 40 Hours of Self-Paced Videos, Quizzes and Practice Exams
- Certification exam voucher included
- 24x7 learner assistance and support
- Lifetime access to high-quality self-paced eLearning content curated by industry experts
- Two Days of Online Live Public Training Sessions
- Certification exam voucher included
- 24x7 learner assistance and support
- Lifetime access to high-quality self-paced eLearning content curated by industry experts
- Two Days of Online Live OR Classroom Private Training Sessions
- Certification exam voucher included
- 24x7 learner assistance and support
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