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Artificial Intelligence and Machine Learning - Foundation

100% Pass Rate | BCS Foundation Certificate | Free one year BCS Associate membership with Career Support

Duco Digital


£699 inc VAT
Or £58.25/mo. for 12 months...
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Reading material - slides
60 hours · Self-paced
BCS Foundation Certificate in Artificial Intelligence
Professional certification What's this?
  • Certificate of completion - Free
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Are you looking for a career in Artificial Intelligence?

Our “Artificial Intelligence and Machine Learning - Foundation” course is designed for people who want to understand Artificial Intelligence, support change and improve business processes.

Duco Digital is a BCS (Chartered Institute for IT) accredited training provider of Artificial Intelligence & Machine Learning courses. Our online AI courses provide the qualifications you need to develop and enhance your knowledge, business & career. As well as strengthening your current position, these industry-recognised qualifications could open up a range of exciting new opportunities.

Did you know?

Globally, Artificial Intelligence solutions will be worth more than £30bn by 2024 - boosting productivity up to 30% with up to 25% savings & generate up to $15.7 trillion to the global economy in 2030.

Why Choose Duco Digital Training?

With self-study, you get a whole package of support we call PASS ASSIST, including:

  • Free one year BCS Associate membership (normally costing £90)
  • 2 live video support calls with your course trainer
  • Practice exam papers
  • Series of support videos to get the most out of your course, making a learning plan and how to prepare for the exam
  • 5-star rating
  • 95% pass rate.

A live training option is available, please contact us.


BCS Foundation Certificate in Artificial Intelligence

Course media


The BCS Foundation Award - “Artificial Intelligence and Machine Learning - Foundation” professional certification is a globally recognised professional qualification which will help develop your knowledge and understanding of:

1. Ethical and Sustainable Human and Artificial Intelligence (20%)

  • Recall the general definition of Human and Artificial Intelligence (AI).
    • Describe the concept of intelligent agents.
    • Describe a modern approach to Human logical levels of thinking using
      Robert Dilt’s Model.
  • Describe what are Ethics and Trustworthy AI, in particular:
    • Recall the general definition of ethics.
    • Recall that a Human Centric Ethical Purpose respects fundamental rights,
      principles, and values.
    • Recall that Ethical Purpose AI is delivered using Trustworthy AI that is
      technically robust.
    • Recall that the Human Centric Ethical Purpose Trustworthy AI is
      continually assessed and monitored.
  • Describe the three fundamental areas of sustainability and the United Nation’s
    seventeen sustainability goals.
  • Describe how AI is part of ‘Universal Design,’ and ‘The Fourth Industrial
  • Understand that ML is a significant contribution to the growth of Artificial
    • Describe ‘learning from experience’ and how it relates to Machine Learning
      (ML) (Tom Mitchell’s explicit definition).

2. Artificial Intelligence and Robotics (20%)

  • Demonstrate understanding of the AI intelligent agent description, and:
    • list the four rational agent dependencies.
    • describe agents in terms of performance measure, environment, actuators,
      and sensors
    • describe four types of agent: reflex, model-based reflex, goal-based and
    • identify the relationship of AI agents with Machine Learning (ML).
  • Describe what a robot is and:
    • Describe robotic paradigms,
  • Describe what an intelligent robot is and:
    • Relate intelligent robotics to intelligent agents.

3. Applying the benefits of AI - challenges and risks (15%)

  • Describe how sustainability relates to human-centric ethical AI and how our values
    will drive our use of AI will change humans, society, and organisations
  • Explain the benefits of Artificial Intelligence by.
    • list advantages of machine and human and machine systems.
  • Describe the challenges of Artificial Intelligence, and give;
    • general ethical challenges AI raises.
    • . general examples of the limitations of AI systems compared to human
  • Demonstrate understanding of the risks of AI project, and:
    • give at least one a general example of the risks of AI,
    • describe a typical AI project team in particular,
      • describe a domain expert,
      • describe what is ‘fit-of-purpose’,
      • describe the difference between waterfall and agile projects.
  • List opportunities for AI.
  • Identify a typical funding source for AI projects and relate to the NASA Technology
    Readiness Levels (TRLs).

4. Starting AI how to build a Machine Learning Toolbox - Theory and Practice (30%)

  • Describe how we learn from data – functionality, software, and hardware,
    • List common open-source machine learning functionality, software, and
    • Describe introductory theory of Machine Learning.
    • Describe typical tasks in the preparation of data.
    • Describe typical types of Machine Learning Algorithms.
    • Describe the typical methods of visualising data.
  • Recall which typical, narrow AI capability is useful in ML and AI agents’

5. The Management, Roles and Responsibilities of humans and machines (15%)

  • Demonstrate an understanding that Artificial Intelligence (in particular, Machine
    Learning) 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
    • Describe the type of team members needed for an Agile project.

Exam Information of “How Artificial Intelligence Supports Business” Course:

  • It is a 40 multiple-choice exam
  • Pass mark is 26/40 points or 65%
  • Duration of the exam is 60 minutes
  • The exam will be supervised virtually

Who is BCS?

Recognised globally by corporations, academics and IT professionals, BCS is the British Computer Society, more commonly known as the Chartered Institute for IT.

They have over 60,000 members in 150 countries, and a wider community of business leaders, educators, practitioners and policy-makers all committed to their mission of leading the IT industry through its ethical challenges, to support the people who work in the industry, and to make IT good for society.

What our students say about us:

"The training provided will assist me to conduct AI research projects in a more professional and systematic way. The knowledge provided will be incredibly valuable for my future study in the field of computer vision." — Muhammad Lecturer and AI PhD Candidate

“Good training materials for remote learning, and the most impressive part was the speed at which they responded to questions.” — Tom Data Protection Practitioner

"This proved to be a very valuable course to me." — Janet Business Analyst

Meet Our Instructor

Darren Winter is Director at Duco Digital and supports organisations with cutting-edge business intelligence, sales, and marketing automation solutions alongside courses and training in artificial intelligence, business analysis, and data protection across diverse sectors spanning the UK, Europe, the Middle East, and SE Asia.

Noteworthy achievements include training academics in AI for the Indonesian government and teaching students in Technology Sales for the Saudi Arabian government. In 2023, the UK Department of Business and Trade invited him as a leaders of AI for a trade mission to Indonesia where he discussed Indonesian AI and ethical policy with key stakeholders.

He is also studying for his PhD in AI Ethics at Cordoba University, Spain, where he is exploring the impacts of the EU AI Act upon organisations.

Who is this course for?

For who is the “Artificial Intelligence and Machine Learning - Foundation” course designed for?

Whether you're a seasoned professional honing your expertise or an individual venturing into a new career path, the “Artificial Intelligence and Machine Learning - Foundation” course caters to you. It's tailored for:

  1. Aspiring AI Analysts: Individuals driven to dive into the vibrant landscape of artificial intelligence analysis, poised to forge a gratifying career at the forefront of technological innovation.
  2. AI Enthusiast Students: University scholars aiming to complement their theoretical understanding with hands-on, industry-centric competencies in AI.
  3. Career Transformers: Professionals contemplating a shift into AI analysis from diverse vocations, eager to leverage their multifaceted expertise in novel AI applications.
  4. Efficiency Optimization Advocates: Practitioners dedicated to revolutionizing processes and amplifying efficiencies through the strategic integration of AI technologies within enterprises.
  5. Strategic Decision-Makers and Leaders: Mid-level managers, senior executives, and directors aspiring to fortify their analytical acumen and spearhead strategic initiatives in the AI landscape.


  • None - no experience or qualifications are needed.
  • An internet connection with a mobile/tablet or laptop is required.

Career path

This course is part of the BCS Foundation Diploma in Artificial Intelligence which enables you to develop a solid understanding of this cutting-edge technology through efficient bite-size learning.

The diploma requires you to study and pass 8 short, bite-size awards (courses) with exams in 4 areas of AI:

  • Business innovation
  • Data
  • Ethics
  • Machine learning and other AI techniques

Questions and answers

Currently there are no Q&As for this course. Be the first to ask a question.


Certificate of completion

Digital certificate - Included

The certificate is usually available to download from the BCS portal within 48 hours of passing the exam.


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