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Postgraduate Diploma in Artificial Intelligence (90% Funded)

Online
1 Year
695

Course Content

This Post Graduate Diploma is designed for those who want to pursue a career in Artificial Intelligence (specialising in machine learning and deep learning).

The programme provides students with deeper knowledge and advanced skills that will allow them to contribute to the design and development of machine learning algorithms for automation, predictive modelling, and decision-making.

Why Study Artificial Intelligence?

  • Comprehensive AI Knowledge: Gain a deep understanding of core AI concepts, including intelligent agents, machine learning, and deep learning, alongside contemporary tools and technologies.
  • Practical AI Application: Develop the ability to analyze, design, and implement AI solutions for real-world problems across diverse sectors like finance, medical, and technology, utilizing state-of-the-art programming languages and intelligent algorithms.
  • Critical and Innovative Thinking: Cultivate independent thinking, critical analysis, and innovative problem-solving skills to address complex AI challenges effectively.

The study is part-time and online. Online delivery is supported by an induction day at the beginning of the programme. The informative live webinars (two evenings per week) will aim to develop participants’ ability to apply knowledge and understanding of Artificial Intelligence. Participants may have to attend interactive group sessions (Saturdays).

Advance your career in a wide range of roles, including: Machine Learning Engineer, AI Engineer, Data Scientist, Data Engineer, Software Engineer, Data Analyst or Computer Scientist.

What You Will Learn on This Artificial Intelligence Course

Artificial Intelligence and Machine Vision

This module aims to provide students with conceptual knowledge in Artificial Intelligence (AI), computer vision and natural language processing (NLP). The module equips the students to develop competencies in understanding fundamental AI concepts, knowledge of image processing techniques and proficiency in NLP concepts, for the design and development of computing applications.

Main topics of study:

  • History of AI
  • Machine Learning
  • Deep Learning
  • Neural Networks Modelling
  • Image Processing
  • Natural Language Processing
  • Ethical, Legal, Privacy and Social Issues within AI applications

Machine Learning and Big Data

This module aims to provide students with the core theoretical and practical background required for using machine learning techniques for big data analytics and developing large-scale intelligent algorithms for big data systems.

Main topics of study:

  • Introduction to Data Mining for Big Data
  • Big Data Processing
  • Big Data Classification
  • Big Data Clustering
  • Machine Learning applications for Big Data Analytics
  • Legal, Social, and Ethical issues within Machine Learning on Big Data

Big Data Analytics

This module aims to provide students with the core theoretical and practical background required for big data analytics and developing big data systems. It will provide you with an insight into areas of big data management and advanced analytics. You will develop in-depth practical skills through using tools and techniques from the forefront of the emerging field of data analytics.

Main topics of study:

  • Introduction to Big Data
  • Setting up Big Data Stack
  • Big Data Applications
  • Data Acquisition
  • Big Data Storage
  • Batch Analysis
  • Real-time Analysis
  • Advanced Analytics
  • Big Data Visualisation
  • Legal, Social, Ethical Issues with Big Data Applications

Intelligent Systems

This module aims to provide students with practical knowledge in Intelligent system design and development. The module equips the students to develop competencies in intelligent agents, machine learning, and deep learning techniques for solving the advance real-world applications.

Main topics of study:

  • Intelligent agents, History, Motivation
  • Multiagent Systems
  • Designing Intelligent Systems using Machine/Deep Learning
  • Probabilistic learning and Bayesian
  • Computational Finance/Fintech in machine/deep learning
  • Natural Language Processing (NLP), Search Engines
  • Predictive modelling, Intelligent decision making and recommender systems
  • Advance topics & tools in deep learning (Reinforcement learning)
  • Ethical, Legal, Privacy and Social Issues within Intelligent agents and deep learning

Course Details

CollegeChevron College
Course ID202160
Course TypeOnline Learning
Course QualificationPostgraduate Diploma
Awarding Body DetailsPostgraduate Diploma in Artificial Intelligence
Course Start Date6th October 2026
Course End Date29th October 2027
Course Duration1 Year
Course Time2 Evening lectures per week and some Saturdays throughout the year
Course Fee695
Entry RequirementsAcademic Requirements: Bachelor’s degree with minimum Second Class (2:2) in Computer Science (or equivalent degree with significant maths and computing content).

You may need to provide evidence of your English language ability.
Career PathGraduates of the Postgraduate Diploma in Artificial Intelligence are well positioned to pursue a range of high-demand roles across the technology, finance, healthcare and data sectors. The programme develops advanced expertise in machine learning, deep learning, AI system design and big data analytics — skills that are increasingly sought after across all industries.
Career paths open to graduates include:

Machine Learning Engineer — designing and developing algorithms that enable systems to learn and improve from data
AI Engineer — building and deploying intelligent systems and AI-powered applications
Data Scientist — analysing complex datasets to generate insights and support business decision-making
Data Engineer — developing and maintaining the infrastructure and pipelines that power data and AI systems
Data Analyst — interpreting data trends and producing actionable reports for organisations
Software Engineer — developing software solutions with integrated AI and machine learning capabilities
Computer Scientist — conducting research and development in cutting-edge computational and AI fields

This qualification is particularly valuable for computing professionals looking to specialise in AI, or those already working in tech who want to move into senior, AI-focused roles. With demand for AI talent continuing to grow rapidly in Ireland and internationally, graduates are well placed to secure competitive positions in one of the fastest-growing sectors in the global economy.

This is written to work as a standalone block on an external listing site, so it's self-contained and doesn't assume the reader has already read the course page. Let me know if you'd like it shorter or adjusted in tone.

Course Provider

Chevron College

Anne Street Wexford Town Co. Wexford Y35 KWF7, Wexford Town, Wexford, Ireland. Eircode: Y35 KWF7

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