BCS Essentials Certificate in Artificial Intelligence
Develop an understanding of the basic principles of artificial intelligence, its benefits and risks, and the processes behind machine learning.
The BCS Essentials Certificate in Artificial Intelligence is the first internationally recognised professional certification for this innovative and fast-growing field. At its core, the BCS AI Essentials Certificate prepares award holders on how to capitalise on the digital transformation, which according to the World Economic Forum, will see over half of all workplace tasks being performed by machines by 2025.
Course Dates
▸ 19 February 2024 | Live (online) | 2 x 4hr s
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Overview
The BCS Essentials Certificate in AI aims to introduce a complicated topic. While there is an amount of technical detail in the course, it should still be suitable for people with a non-technical background. For some, the BCS AI Essentials Certificate is sufficient to provide a basic understanding in order to facilitate informed conversations with specialist teams responsible for developing AI systems. For others, it is the entry point into a longer learning and development journey.
The BCS Essentials Certificate tests delegates' knowledge and understanding of AI terminology and general principles. It explores the various forms of AI and the fundamental processes of machine learning. Alongside the advantages and difficulties associated with AI, the BCS Essentials Certificate examines how AI will transform the way people work, learn, travel and communicate with one another.
Delegates can gain a recognised workplace AI qualification, whether working at their desk or from home, by attending two consecutive 4-hour live online sessions. The course follows the latest BCS Syllabus (v1.2) and prepares participants for the 30-minute multiple-choice BCS Foundation Exam, administered separately via Questionmark through online remote proctoring.
Learning Objectives
An introduction and history of human and artificial intelligence
Examining the benefits, challenges and risks of AI
An Introduction to Machine Learning
The future of AI; Humans and machines working together
Who should attend this course?
Chief Privacy Officers (CPOs)
Data Protection Officers (DPOs) and practitioners
Governance, risk and compliance professionals (all grades)
Privacy Engineers, technicians
Solicitors advising on information law
Data Scientists, analysts, architects
Data research analysts
Systems administrators, developers, engineers
Chief Technical Officers (CTOs)
Chief Information Officers (CIOs)
Information security, IT security and IT managers, Chief Information Security Officers (CISO)
Ethical hackers & Forensics investigators
Website developers & UX/UI designers
Organisational/business change practitioners and managers
Course Outline
Module 1: An introduction to artificial and human intelligence
Human and artificial intelligence (AI) definitions
How learning from experience relates to Machine Learning (ML)
How machine learning has contributed to the growth of artificial intelligence
Universal Design and the Fourth Industrial Revolution
Module 2: Benefits, challenges and risks of Artificial Intelligence
Benefits of Artificial Intelligence
Advantages of machine and human and machine systems
Understanding the challenges and risks of Artificial Intelligence
How AI projects are funded
Potential opportunities for Artificial Intelligence
Module 3: An introduction to Machine Learning
Understanding the AI intelligent agent description.
Machine Learning differences
The four rational agent dependencies
Agents in terms of performance measure, environment, actuators and sensors
The four types of agents
Examples of Machine Learning
How narrow AI capabilities are useful in Machine
Learning and AI agents' functionality
Neural network schematics
Module 4: The future of Artificial Intelligence
How Artificial Intelligence and Machine Learning will drive humans and machines to work together
Future applications for Artificial Intelligence
BCS Syllabus
Essential Certificate in Artificial Intelligence (AI-E)- Syllabus version 1.2 (August 2023)