KV4004 - AI Fundamentals

What will I learn on this module?

This module will give you a foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services. This module will help you demonstrate knowledge of common ML and AI workloads. In addition, ‘AI Fundamentals’ will guide you through hands-on sessions and workshops on how to implement common ML and AI workloads on MS Azure.
‘AI Fundamentals’ will prepare you for later modules, as well as for a placement in your third year. Employers look for skilled graduates with industry-recognised and technology-based certifications such as the MS Azure AI Fundamentals AI-900. Employers are seeking talented individuals who can work as members of a team in understanding, analysing, and designing AI solutions leading to sustainable growth, change and impact and applying effective, responsible and ethical AI-enabled techniques.

During ‘AI Fundamentals’, students will work through a series of workshops and exercises relying on state-of-the-art AI technologies and Cloud Computing such as MS Azure. Furthermore, students will make use of Northumbria’s state-of-the-art computer labs. Students will also critically engage with research outputs as part of their research-rich learning.

‘AI fundamentals’ lectures and workshops will help students prepare for the AI Fundamentals certification exam (AI-900). This certification can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate which are much sought-after by recruiters.

How will I learn on this module?

You will learn through lectures, workshops, and independent learning. The lectures will cover theories and concepts that will enable you to tackle a series of guided exercises. You will work on these during workshops and hands-on sessions in Northumbria’s CIS building computer labs, which are fully equipped with the latest industry-standard software.

How will I be supported academically on this module?

You will be supported by lecturers during the timetabled sessions when you will receive feedback on your work. The University’s eLearning Portal offers remote access to all lecture and seminar materials to reinforce your learning. In addition, the university library offers support for all students through providing electronic resources

What will I be expected to read on this module?

All modules at Northumbria include a range of reading materials that students are expected to engage with. Online reading lists (provided after enrolment) give you access to your reading material for your modules. The Library works in partnership with your module tutors to ensure you have access to the material that you need.

What will I be expected to achieve?

Knowledge & Understanding:
ML01 - Demonstrate knowledge, and basic understanding, of essential facts, concepts, principles, theories, techniques, and technologies related to computing, computer science, data science and Artificial Intelligence (AI) workloads.
ML02 - Describe AI workloads and considerations, fundamental principles, features of AI workloads and their implementation on Azure.
ML03 - Specify, design and construct simple computer, AI and data-based systems.

Intellectual / Professional skills & abilities:
ML04 - Specify, design and construct simple computer- and AI- based systems (IPSA).

Personal Values Attributes (Global / Cultural awareness, Ethics, Curiosity) (PVA):
ML05 – Demonstrate a basic awareness of the global, ethical, and cultural issues related to computing, and specifically AI and data - and its societal implications for equality and diversity.

How will I be assessed?

Individual essay (100% of the final mark)
Summative assessment will be a single assignment involving a mixture of AI written tasks (totalling no more than 2000 words), AI model designs and building no code AI-based services. The assessment will be submitted electronically.

This summative assessment addresses Module Learning Outcomes MLO1, 2, 3, 4, 5

Formative assessment will take the form of exercises in workshop classes to help you apply the concepts covered in the lectures and to check your understanding. Your tutors will provide you with feedback on your work. Computer-based multiple-choice tests will help check your basic knowledge outside of class time.

Pre-requisite(s)

N/A

Co-requisite(s)

N/A

Module abstract

This module aims to help students identify features of common AI workloads, understand principles for responsible AI, identify common machine learning types, describe core machine learning concepts, core tasks in creating a machine learning solution, identify common types of computer vision solution, Azure tools and services for computer vision task, features of common NLP Workload Scenarios, Azure tools and services for NLP workloads, identify common use cases for conversational AI, describe capabilities of no-code machine learning with Azure Machine Learning studio, and identify Azure services for conversational AI. Theory is followed by workshops where you will be introduced to different Azure services for example

Students will be asked to produce a critical reflection on an AI topic: 2000 words essay (50% of the final mark) which will require substantial student-centred enquiry and research.

Students will also be asked to present the implementation of their proposed solution and discuss the findings (50% of the final mark)

Course info

UCAS Code Z066

Credits 20

Level of Study Undergraduate

Mode of Study 4 years Full Time or 5 years with a placement (sandwich)/study abroad

School Computer Science

Location City Campus, Northumbria University

City Newcastle

Start September 2027

Fee Information

Module Information

Accuracy of information

All information is accurate at the time of sharing.

How your course is delivered

Full time Courses are primarily delivered via on-campus face to face learning but could include elements of online learning.

Changes to your course

Most courses run as described on our website and in our marketing materials. Occasionally we may need to make changes, for example due to a change in the law or regulatory requirements, requirements of a Professional, Statutory or Regulatory Body, or our quality assurance processes. Where a change is significant (in line with the Competition and Markets Authority's guidance on "substantial changes"), we will consult with affected students in advance where the change is being decided, and will explain the reason for the change and inform you at the earliest opportunity.

If we make a significant variation to your programme, you are entitled to: request a transfer to an alternative, appropriate programme; withdraw and have your tuition fees adjusted; or raise a complaint through the Student Complaints Procedure.

Optional modules listed on course pages may be subject to change depending on uptake numbers each year. Where a module you selected is withdrawn, the options above apply.

Contact time

Contact time is subject to increase or decrease in line with possible restrictions imposed by the government or the University in the interest of maintaining the health and safety and wellbeing of students, staff, and visitors if this is deemed necessary in future.

Images and video

The photography and video on this page are used for illustration. They may have been taken at different times and in different parts of the University, and may show facilities, equipment, staff, students or activities that are not part of this course. They are not a guarantee of the specific facilities or equipment you will use.

The course content, entry requirements and fees sections of this page, together with the Programme Specification, set out what this course includes. Our facilities are updated over time and may change during your studies.

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Accuracy of information

All information is accurate at the time of sharing.

How your course is delivered

Full time Courses are primarily delivered via on-campus face to face learning but could include elements of online learning.

Changes to your course

Most courses run as described on our website and in our marketing materials. Occasionally we may need to make changes, for example due to a change in the law or regulatory requirements, requirements of a Professional, Statutory or Regulatory Body, or our quality assurance processes. Where a change is significant (in line with the Competition and Markets Authority's guidance on "substantial changes"), we will consult with affected students in advance where the change is being decided, and will explain the reason for the change and inform you at the earliest opportunity.

If we make a significant variation to your programme, you are entitled to: request a transfer to an alternative, appropriate programme; withdraw and have your tuition fees adjusted; or raise a complaint through the Student Complaints Procedure.

Optional modules listed on course pages may be subject to change depending on uptake numbers each year. Where a module you selected is withdrawn, the options above apply.

Contact time

Contact time is subject to increase or decrease in line with possible restrictions imposed by the government or the University in the interest of maintaining the health and safety and wellbeing of students, staff, and visitors if this is deemed necessary in future.

Images and video

The photography and video on this page are used for illustration. They may have been taken at different times and in different parts of the University, and may show facilities, equipment, staff, students or activities that are not part of this course. They are not a guarantee of the specific facilities or equipment you will use.

The course content, entry requirements and fees sections of this page, together with the Programme Specification, set out what this course includes. Our facilities are updated over time and may change during your studies.

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