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Diploma in Artificial Intelligence

  • Overview
  • Course Content
  • Structure
  • Career Opportunities
  • Fees
  • Next Steps

Diploma in Artificial Intelligence | Dublin Business School

 

Overview

Artificial Intelligence is the simulation of human intelligence by machines. Machines that exhibit human traits like learning and problem solving. In today’s world, businesses looking to gain an edge over their competition, use different forms of Artificial Intelligence to learn about their customers in an effort to improve their understanding of a customer’s needs and wants. We are offering an AI course in which the professional Diploma in Artificial Intelligence takes a deep dive into the area of Machine Learning, Data Mining and Statistics. Using tools including Jupyter Notebooks and Python, it goes through all stages, from model training to deploying models into a production, that a business requires to start harnessing the power of AI into their organisation. This programme will enable learners to demonstrate how Artificial Intelligence can be introduced into their respective organisations in the form of Machine Learning. It will take them through the process of extracting data, using it to train models and using these models as part of the infrastructure of the organisation in order to take advantage of the benefits that Artificial Intelligence has to offer. This diploma has been designed for learners with non-cognate backgrounds and no technical knowledge or those with cognate background but lacking technical skills and knowledge.


Artificial Intelligence Programme Aims and Objectives

Aims
This programme aims to introduce learners to the field of Artificial Intelligence with a focus on the area of Machine Learning. Beginning with an introduction to Python, the course takes learners through all the stages of the process, from gathering and processing data to using it to create Machine Learning models. It will demonstrate the benefits of using Machine Learning within an organisation.

Objectives 

  • Introduce learners to the field of Artificial Intelligence.

  • Provide learners with the ability to develop Machine Learning models.

  • Enable learners to extract data and use it for model training purposes.

  • Equip learners with Python programming fundamentals and introduce them to commonly used packages.

Timetable

Click here to view provisional timetable.

Assessment

The assessment of the AI course will consist of a project. This assignment will assess learners’ knowledge of artificial intelligence through the application of and demonstration of competencies in machine learning.  By completing this assessment learners will also develop soft skills such as time management, communication and report writing as well as technical skills in python and associated packages.

Project: 100%
 

Please note this programme is not on the National Framework of Qualifications (NFQ).

Course Content

This Professional Diploma in Artificial Intelligence takes a deep dive into the area of Machine Learning, Data Mining and Statistics. Using tools including, Jupyter Notebooks and Python, it goes through all stages, from model training to deploying models into a production, that a business requires to start harnessing the power of AI in their organisation.


Introduction to Artificial Intelligence

What is Artificial Intelligence (AI)? History of Artificial Intelligence. Essential Characteristics of the Artificial Intelligence environment.

Exploring Python

Essential Python skills required to use the tools associated with Machine Learning. This includes an overview of some basic python syntax and an introduction to commonly used packages like Numpy. In addition, students will be introduced Jupyter Notebooks.

Statistics

Get up to speed on some of the fundamentals of statistics to gain an understanding of how Machine Learning models are trained.

Data Mining

Using either the student’s own dataset or one of the 25 million available via Google’s dataset search, learn how to explore the data in depth and prepare it for model training.

Machine Learning

Combining the skills acquired from both statistics and data mining, Machine Learning topic looks at model training and simulating the models in a production like environment. It will examine the different techniques of Supervised learning versus Unsupervised learning. 

Structure

The key subject areas are delivered over 12 weeks with project assignment completed during the artificial intelligence course. The programme is designed to provide students with a well-developed understanding of Artificial Intelligence and the fundamentals of Machine Learning.

Skills and knowledge are tested using a variety of ways which will encourage learners to apply theory by providing solutions to several business scenarios. All of the AI course material will be provided on Moodle including lecture notes, continuous assessment specification, online tutorials and recorded lectures where applicable.

Timetable

Click here to view provisional timetable.

Career Opportunities

Computing is the most robust industry in the world and information systems, cloud computing, web security and data management play a leading role in the information technology and computing industries as well as the majority of businesses. Computing graduates are in strong demand from industry and those who are successful in completing the course are highly employable in fields as diverse as healthcare, finance and insurance, as well as cloud computing. Positions can be found within: software, data analytics, financial services, distribution, research and development, operations and management and many more.

Student Profile

Typically, students participating on the programme come from a variety of professional backgrounds. Many of them are willing to upskill themselves to meet the challenges and requirements of this industry, locally, nationally and in an international context. The programme can also be beneficial to professionals who are seeking supervisory/ management roles in the future.

Fees

The fee for the Diploma in AI is €1,500. This is inclusive of tuition, registration, exam fees and DBS library membership.

View all DBS Evening Diploma fees here.

Visit Us

Open days are a great way to help you make your decision about your course of interest. The open day will give you the opportunity to receive one on one advice and direction from leading academics in your chosen subject area, meet current students and also have your questions answered on entry requirements, student support and the admissions process. Find out when our next Open Event is taking place. The Admissions Office is located in our Aungier Street campus and you are welcome to visit the college to speak with a member of our admissions team from Monday to Fridays, 8:45am – 5:15pm. Alternatively, you can contact us by email.

DBS Student Facilities

DBS Diploma students can also avail of a wide range of facilities to assist them in every aspect of their studies, please see below for more details.

  • Online Notes System (DBS Moodle)- is an eLearning system designed to provide you with a range of course material which will enhance and support your learning experience within DBS. 

  • DBS Library Aungier Street- the Library provides a programme of classes in the areas of Library resources, essay writing skills, avoiding plagiarism and referencing to assist you in your studies.  

  • DBS Careers and Appointment Service- which provides a range of services for Diploma students such as career advice and workshops in CV writing and interview skills. 

  • Subsidised Parking- DBS provides subsidised parking arrangements for students, which provides easy access to all main public transport routes in and out of the city centre. 

  • Subsidised Student Canteen- Diploma students can avail of the Student Canteen which is open in the evenings and offers a wide variety of choices on its menu.
Categories:
  • Information Technology
  • Part-Time
  • Professional Evening Diplomas

Course overview

Certification: Dublin Business School
Schedule: 1 evening per week, 6.15-9.30pm
Next Intake: February 2024
Duration: 12 weeks (part-time)

Contact Us

We are now accepting applications for programmes taking place in 2024. Contact our admissions team for more information

Email: [email protected]
Phone: 01 417 7500
Opening times:
Monday to Friday
8:45am to 5:15pm

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