Build Foundational Knowledge in Artificial Intelligence.
- Why get AI Fundamentals certified: AI is impacting the future of virtually every industry and every field of information technology and information systems. AI has acted as the main driver of emerging technologies like big data, robotics and IoT, and it will continue to act as a technological innovator for the foreseeable future.
- Why AI Fundamentals matters: Technological skills such as AI are projected to grow rapidly in the next 5 years as per WEF Future of Jobs report 2025.
- Who should get AI Fundamentals certified: IT audit, risk, security and governance professionals looking to gain a fundamental understanding of emerging technology knowledge and skills.
Artificial Intelligence Fundamentals instructs you through a hybrid learning approach to help you build an understanding of AI concepts, principles and uses.
Learn how to utilize essential software and algorithms to leverage AI’s applications and potential to streamline your career by automating complex tasks.
Overview
This AI Fundamentals Certificate course introduces you to Artificial Intelligence (AI), a growing and rapidly changing field that is becoming increasingly vital to business survival, job stability, and national security.
AI focuses on building smart machines capable of performing tasks that typically require humans and is drastically increasing in demand as it continues to change the future of virtually every field of technology. With AI Fundamentals, you’ll learn how understanding AI’s risks and potential can fast-track your career.
Skills Covered
- Explain the basics of AI
- Describe properties of AI
- Identify resource requirements for adopting AI
- Articulate expert systems (e.g., temporal reasoning, logic and inference)
- Distinguish machine learning models (e.g., decision trees, regression models, Bayesian)
- Describe machine learning algorithms (e.g., supervised learning, unsupervised learning, deep learning)
- Describe enterprise usage of artificial intelligence (e.g., RPA, log analysis, image processing, NLP, fraud detection, cybersecurity,
healthcare) - Identify consumer usage of artificial intelligence (e.g., autonomous vehicles, digital assistants, freelance mobile marketplace)
- Identify risks associated with artificial intelligence (e.g., cybersecurity, privacy, data loss)
- Articulate ethical dilemmas in artificial intelligence (e.g., privacy, bias, nefarious usage)
Prerequisites
There are no prerequisites required to attend this course.
Target Audience
The Artificial Intelligence Fundamentals Certificate is intended for:
A wide-range of individuals, including:
- Current IT Professionals looking to upskill to broaden their IT knowledge and skills or keep up-to-date with emerging technologies.
- IT Audit, risk, security and governance professionals looking to gain a fundamental understanding of emerging technology knowledge and skills.
- Those new to IT, students, recent graduates and career changers looking to differentiate themselves from other job
candidates.
Module 1
Learning Objectives
- Explain the basics of AI
- Describe properties of AI
- Identify resource requirements for adopting AI
- Articulate expert systems (e.g., temporal reasoning, logic and inference)
- Distinguish machine learning models (e.g., decision trees, regression models, Bayesian)
Topics
- Properties of Artificial Intelligence
- Resource Requirements for Adopting AI
- Expert Systems
- Machine Learning Models
Module 2
Learning Objectives
- Describe machine learning algorithms (e.g., supervised learning, unsupervised learning, deep learning)
- Describe enterprise usage of artificial intelligence (e.g., RPA, log analysis, image processing, NLP, fraud detection, cybersecurity, healthcare)
- Identify consumer usage of artificial intelligence (e.g., autonomous vehicles, digital assistants, freelance mobile marketplace)
- Identify risks associated with artificial intelligence (e.g., cybersecurity, privacy, data loss)
- Articulate ethical dilemmas in artificial intelligence (e.g., privacy, bias, nefarious usage)
Topics
- Statistical Modeling
- Machine Learning Algorithms
- Enterprise Usage of Artificial Intelligence
- Consumer Usage of Artificial Intelligence
- Risks Associated with Artificial Intelligence
- Ethics in Artificial Intelligence
Dates & Locations
August 19, 2026 - August 21, 2026
August 19, 2026 - August 21, 2026
October 7, 2026 - October 9, 2026
October 7, 2026 - October 9, 2026
December 16, 2026 - December 18, 2026
December 16, 2026 - December 18, 2026
Exam & Certification
Artificial Intelligence Fundamentals Exam.
AI Fundamentals instructs through a hybrid learning approach to help you build an understanding of AI concepts, principles and uses. Learn how to utilize essential software and algorithms to leverage AI’s applications and potential to streamline your career by automating complex task
Training & Certification Guide
Frequently Asked Questions
Speak to a Training Consultant
All courses are HRD Claimable.
Get in touch with our team via the form or WhatsApp us on +6011-5119 6631
