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BCS Essential Certificate in Artificial Intelligence (AI)

75% of learners would recommend this course

  • Assess AI opportunities and risks confidently within your organisation.
  • For CTOs, engineers, and change managers navigating AI adoption.
  • We deliver BCS-accredited AI training with expert-led instruction throughout.
From $935
Accredited by
Details
Categories:
Artificial Intelligence Data and Office Applications
Level:
Fundamentals
Tier type:
Performance
Code:
QAAIBCSE
Exam:
Yes - Included

Overview

This course provides a comprehensive introduction to the fundamental concepts of Artificial Intelligence (AI). Learners will explore key terminology, types of AI, and the principles of machine learning. The course examines how AI is applied across various industries, highlighting its benefits and practical uses. Delegates will gain insight into the stages of an AI project, including the machine learning lifecycle and project management approaches. Ethical, legal, and governance considerations are addressed, with a focus on regulatory compliance, data privacy, bias, accountability, and risk management. The course also evaluates the benefits, limitations, and challenges of AI, and discusses potential future developments, including emerging technologies and human-AI collaboration.



Prerequisites

  • Basic understanding of technology concepts
  • Interest in Artificial Intelligence and its applications
  • No prior experience in AI required

Target audience

  • Individuals seeking foundational knowledge of Artificial Intelligence
  • Professionals interested in AI applications across industries
  • Those aiming to understand ethical and governance aspects of AI

What's included

Select your preferred way to learn:

What is Virtual?

Live, instructor-led training delivered online

Interactive online sessions led by subject matter experts. Learners join live classes, take part in discussions, and complete practical exercises from any location, making it easy to fit collaborative learning into busy schedules.

If you prefer to connect to a course that is taking place in a physical classroom, you can choose our Remote Access option. .

Best for: Teams and individuals who want expert guidance, real-time collaboration, and flexible access.

What's included?

1 Day instructor led course

Exam: Yes - Included

AI-enhanced by Ela

6 month free access to QA learning platform

Free 6-Month Access: Learning Platform Discovery plan

Included FREE with every instructor‑led course

Get free guided access to the QA Learning Platform. Assess your skills, explore in-demand topics, and understand which areas to focus on.

Learn AI, Cloud, Data, and Leadership skills at your own pace.

Put skills into practice with hands-on Labs and Simulabs.

Validate knowledge and highlight gaps with skills assessments.

What is bespoke training? 

Custom instructor-led training designed by QA to fit your needs

Tailored programmes built around your organisation’s goals, challenges, and skill levels. Delivered in the format that suits you to maximise relevance and impact.

Best for: Organisations and teams looking to target specific business priorities and capabilities with QA subject matter expertise.

 

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Dates

Available ways to learn:

Outline

Fundamental Concepts of Artificial Intelligence

  • Define Artificial Intelligence and its key terminology
  • Distinguish between types of AI, such as narrow and general AI
  • Explain the principles of machine learning and its capabilities
  • Explore the role of data in AI systems
  • Discuss how AI systems learn and adapt

Applications and Benefits of AI Across Industries

  • Examine AI applications in healthcare, including diagnostics and patient care
  • Explore AI use in finance, such as fraud detection and risk assessment
  • Review AI’s impact on education, including personalised learning and administration
  • Analyse AI in manufacturing, focusing on automation and quality control
  • Investigate AI’s role in IT, including cybersecurity and process optimisation

Stages of an AI Project and Project Management Approaches

  • Outline the machine learning lifecycle, from data collection to model deployment
  • Identify key steps in developing an AI solution
  • Compare project management approaches: agile, waterfall, and hybrid
  • Discuss how to select an appropriate project management method for AI projects
  • Highlight the importance of iterative development and stakeholder engagement

Ethical, Legal, and Governance Considerations in AI

  • Identify regulatory compliance requirements for AI systems
  • Discuss data privacy concerns and protection measures
  • Examine issues of bias and fairness in AI algorithms
  • Explore accountability and transparency in AI decision-making
  • Review risk management strategies for AI implementation

Evaluating Benefits, Limitations, and Challenges of AI

  • Assess the advantages of AI for organisations and society
  • Identify limitations and potential risks associated with AI technologies
  • Discuss the impact of AI on employment and workforce dynamics
  • Consider organisational challenges in adopting AI solutions
  • Evaluate societal implications, including accessibility and public perception

Future Developments in AI

  • Explore emerging technologies in the AI field
  • Discuss trends in human–AI collaboration
  • Consider the implications of AI advancements for individuals and organisations
  • Reflect on potential changes in society driven by AI innovation
  • Anticipate challenges and opportunities in future AI development

Exams and assessments

This course includes the BCS Essentials Certificate in Artificial Intelligence exam, delivered via remote proctoring through the Questionmark portal.

  • Format: remote proctored online examination
  • Scheduling: candidates book their exam session via the Questionmark portal at a time of their choosing, but no earlier than after 5pm on the final day of the course
  • Successful candidates are awarded the BCS Essentials Certificate in Artificial Intelligence.

Hands-on learning

  • Learners will engage in practical activities to apply AI concepts
  • Exercises may include analysing case studies and discussing real-world applications
  • Opportunities for collaborative learning and problem-solving are provided

Learning outcomes

Delegates will learn how to:

  • Explain the fundamental concepts of Artificial Intelligence, including key terminology, types of AI, and machine learning principles
  • Describe the applications and benefits of AI in healthcare, finance, education, manufacturing, and IT
  • Outline the key stages of an AI project, including the machine learning lifecycle and project management approaches such as agile, waterfall, and hybrid
  • Identify ethical, legal, and governance considerations related to AI, including regulatory compliance, data privacy, bias, accountability, and risk management
  • Evaluate the benefits, limitations, and challenges of AI, considering its impact on employment, organisations, and society
  • Discuss potential future developments in AI, including emerging technologies, human–AI collaboration, and implications for individuals and organisations

Good to know

Once registered you will receive a confirmation email directly from the BCS. This email will reference a provisional exam location, date and time and should not be mistaken for a confirmed session.

You will receive a further email from Questionmark (within 48 hours). It is at this stage that you will be provided access to the live calendar to enable you to schedule your exam session.

Due to the current high demand for online exams, there may be limited time slots available. If you are unable to book your preferred timeslot QuestionMark advise contacting them directly via their live online chat to discuss alternate dates.

ELCAS Enhanced Learning Credits Administration Service

 

 

 

 

 

QA is an approved training provider for ELCAS, proud to support service leavers in their transition into the tech industry. Learn more about Elcas approved training here.  

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What our customers are saying

“As a leading Cloud Solutions Training Services Partner, QA’s Microsoft 365 Copilot Adoption Accelerator offers organisations an innovative and scalable training solution to increase user productivity, confidence, and consistent best practice use of Copilot across the business.”

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Global Partner Sales Executive, Microsoft Worldwide Learning

"The AI Champions Pathway was invaluable at really helping to super-charge AI adoption across Awaze... we've seen the application of AI-first thinking grow rapidly; from simple everyday ChatGPT usage for communications, to the creation of GPTs, to evolved complaints handling processes. As a business, we now see innovative, AI-first thinking as a key enabler to our strategic priorities, rather than a nice-to-have.”

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People Transformation Lead, Awaze

“QA's training and hands-on labs are a powerful approach to maximising the value of Microsoft 365 Copilot adoption. Copilot is a once-in-a-generation technology, and using QA to learn this technology is a smart way to harness AI-driven productivity.”

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Senior Go To Market Manager - M365 Copilot Microsoft UK

Portfolio Director

Dr Vicky Crockett

Portfolio Director – Artificial Intelligence

Vicky is an experienced mathematician, educator, and consultant specializing in data science and AI, with over 15 years in the education sector. She has worked across local, national, and multinational industry partnerships and is skilled at translating complex concepts into clear, practical insights. Visit my page
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All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.

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When will I receive my certificate?

Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.