The details
Location: Online Mode of study: Part-time Qualification: CPD microcredential (20 credits) Study duration: 13 weeks
For queries: Call +44 (0) 1206 489 358 Delivered by: Kaplan Open Learning

Interested in artificial intelligence? Begin your journey to a successful AI career with this exciting CPD microcredential module.  

You’ll start by exploring the historical and evolutionary aspects of artificial intelligence, before looking at the impact AI has on society. You’ll also develop a wealth of theoretical knowledge to help you understand key concepts and algorithms, so you can go forward and develop your own innovative solutions. 

The module covers a wealth of key topics, including: 

  • essential AI principles and techniques  
  • ethical and professional responsibilities of AI professionals  
  • the role of algorithms in real-life problem solving 

Once you’ve completed the module, you have the opportunity to study one of our popular postgraduate computing courses. 

Why we’re great

  • The module is ideal if you’re new to artificial intelligence, as it’s designed as an introductory course.  
  • You’ll cover the three fundamentals of artificial intelligence: search, knowledge presentation and learning. 
  • Study 100% online, part-time, with no need for a career break.  

You’ll study the following topics as part of the CPD microcredential module: 

  • the History and Future of Artificial Intelligence which includes the definition of AI, professional and ethical issues, as well as key application areas (Industry 4.0 and FinTech)  
  • AI fundamentals including the Alan Turing Test, knowledge representation and approaches to developing learning systems  
  • programming paradigms and algorithms for Machine Learning 
  • preparing big data for AI solutions 
  • programming for learning algorithm implementation 

Teaching methods

Studying online gives you the freedom to study when and where it suits you – at home, during your lunch hour or in a café.

Our CPD microcredentials are delivered through a virtual learning environment (VLE) instead of a traditional campus. This means you will have access to your study materials 24/7, including:

  • multimedia lecturecasts made up of written content, short videos, animation, audio recordings, infographics, short tests and mini-assignments
  • discussion forums for you to chat about the module content with fellow students
  • live Q&A sessions with your tutors
  • a comprehensive eLibrary of textbooks and academic journals
  • support from academic staff and your dedicated Student Support team

To ensure you receive high-quality tutor support, each class is capped at 20 students.


Assessment methods

Rather than fretting about exams, you’ll be assessed exclusively through essays, discussions and software implementation.  

We’re committed to providing frequent and clear feedback through the following ways: 

  • our assessment criteria is designed to be simple and transparent 
  • you will always be aware of your current provisional grade, right from the start  
  • you will be able to clearly view your marks in your gradebook whenever you log on to the learning platform 
  • there is a seven-day turnaround for marking and feedback of assessed work 
  • you will have regular contact with your Student Support team, with whom you can discuss any concerns as soon as they arise 

Study duration

Our Understanding Artificial Intelligence CPD microcredential module has a study duration of 13 weeks, including a one-week induction to help you settle into online study. 

The Understanding Artificial Intelligence microcredential module offers a whole host of opportunities. On successful completion, you’ll receive a digital certificate confirming you’ve achieved 20 academic credits at postgraduate level. This will be beneficial whether you’re looking to climb the career ladder or take the first step into a role in AI – helping you stand out amongst the competition. 

If you wish to continue your studies and boost your prospects, you could study additional computing CPD microcredentials, such as Launching into Cyber Security or The Data Professional. Alternatively, you could progress on to a PG Cert Artificial Intelligence (60 credits); PG Dip Artificial Intelligence (120 credits) or the full MSc Artificial Intelligence (180 credits).   

Please note, acceptance on to a postgraduate qualification is subject to meeting the entry requirements of your chosen programme. 

No formal qualifications or experience is necessary.  

As our modules are delivered in English, a high proficiency of English is required. If English isn’t your first language, your ability should be equivalent to an IELTS (Academic) score of 6.5. Don’t worry if you don’t hold an IELTS or equivalent qualification – we offer a free online English test to assess your proficiency.  

You don’t need to prove your English ability if you’re a national of, or have completed a qualification equivalent to a UK degree in, any of these countries. 

Full tuition fee: £1,320 (2022-23) Δ  

  • Our modules are fully inclusive – all teaching materials and required reading are included. We also charge the same fee for domestic and international students.  
  • Alumni discount of 10% of the tuition fee available if you’re a previous graduate with the University of Essex or University of Essex Online.   
  • We offer a 14-day moneyback guarantee, so if you decide your module isn’t for you during the first 14 days, we’ll give you a full refund. Terms and conditions apply. 

Δ All tuition fees shown are net of any applicable sales tax payable by you in your country of residence. Where we are required to add sales tax at the local statutory rate, this will be added to the tuition fees shown and confirmed during the payment process. 

Subject specialists, industry authorities and experienced academics: the tutors who teach  on our Understanding Artificial Intelligence module are experts in the computing field.

What our students say


Alice Villar - MSc Computer Science

I'm aiming to become a chatbot developer. Alongside studying my Masters, I also work as a Python instructor in a coding school. I have a great deal of programming experience with Python and I am passionate about game development. I am a creative person and, in my opinion, building games while studying is the best way to learn how to code. Before starting a career in computer science, I was a lawyer and published three books – the first two on jurisprudence with a preface written by Luis Fux, a justice minister of the Supreme Federal Court. The third book focuses on banking law and has a preface written by Luis Felipe Salomão, a justice minister of the Superior Court of Justice. Although law, technology and computer science are completely different fields, the writing skills I gained are helpful in my current journey. In fact, I recently published the paper

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