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Advanced Artificial Intelligence and Machine Learning- Professional Diploma


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University of Limerick


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    Advanced Artificial Intelligence and Machine Learning- Professional Diploma
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Studying Advanced Artificial Intelligence and Machine Learning - Professional Diploma at the University of Limerick

This specialist diploma embraces the new trends in AI as well as combining established AI techniques, such as: Unsupervised/Supervised/Reinforcement learning, Deep Learning, Parametric/Nonparametric regression and classification, with emerging disciplines and technologies: Deep Reinforcement Learning, Automatic compliance checking, Automatic workflow synthesis, Machine-supported correctness and Explainable AI.


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Studying Advanced Artificial Intelligence and Machine Learning - Professional Diploma: Programme Content

The delivery of the programme is through traditional classroom learning, problem-solving method and blended learning, and self-directed study, and focuses on the undertaking of a set of AI related modules.

 

It will be delivered primarily via lectures, supported with seminars, tutorials, labs, assignments and projects. Formative assessment will be based on assignments and project work with a focus on acquiring knowledge, skills, and ability to develop ad-hoc algorithms, with a focus on creativity, and autonomous learning.

 

Summative assessment will typically be exam based.

 

Core Modules:

  • CS6462 PROBABILISTIC AND EXPLAINABLE AI (6 ECTS)
  • CS6482 DEEP REINFORCEMENT LEARNING( 6 ECTS)
  • CS5062 DATA ANALYTICS (6 ECTS)
  • CS5024 THEORY AND PRACTICE OF ADVANCED AI ECOSYSTEMS (6 ECTS)
  • CE6012 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING (6 ECTS)

 

At the end of this programme students will be able to:

  • Demonstrate an understanding of/Implement Artificial Intelligence and Machine Learning algorithms
  • Use Artificial Intelligence and Machine Learning to solve problems.
  • Develop ad-hoc algorithms that go beyond traditional methods.
  • Implement and critique techniques for image processing, natural language processing and data analytics.
  • Design and Implement solutions to a range of AI and machine learning problems.
  • Use appropriate technologies frameworks and platforms for the efficient execution of AI solutions.
  • Explore and use AI and machine learning technologies, demonstrating an understanding their core features and usability.
  • Demonstrate an understanding of the fundamental tools required for AI systems.
  • Achieve an informed understanding of general AI frameworks, such as deep reinforcement
  • learning and being able to apply it to real-problems and simulated environments.
  • Identify, develop and implement appropriate existing and emerging AI and machine learning solutions for practical problems.
  • Acquire new knowledge and skills with confidence in emerging AI areas.
  • Use objective approaches to compare and select the techniques and algorithms to solve specific problems.
  • Build confidence and develop insight into some of the fundamentals and developments in the field of AI.
  • Gain awareness of the limitations of traditional machine learning systems and demonstrate an understanding of the benefits of explainable AI.
  • Demonstrate an understanding of the criteria and the approaches behind the requirements for and the delivery of assurance and quality in complex AI ecosystems.

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Studying Advanced Artificial Intelligence and Machine Learning - Professional Diploma: Entry Requirements

This programme has secured Government funding through the July Stimulus Postgraduate Skills package.  Eligible applicants can avail of  90-100% funding.   Please click here for eligibility criteria

What to include with your application:

  • Qualification transcripts and/or certificates (including certified English  translations if applicable)
  • English language qualifications (if English is not your first language)
  • A copy of your most recent CV
  • A copy of your passport or birth  certificate (long version)
  • Proof of status -  Please click here for more information

 

Academic Entry Requirements

Applicants for must have a first or second class Level 8 honours degree (NFQ or other

internationally recognised equivalents) in a relevant or appropriate subject (Computer Science, Computer Engineering programmes, or level 8 Science programmes that have sufficient mathematical and programming skills), or equivalent prior learning that is recognised by the University as meeting this requirement.

Applicants must also satisfy the English Language Requirements of the University. The University reserves the right to shortlist and interview applicants as deemed necessary.


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 Advanced Artificial Intelligence and Machine Learning- Professional Diploma
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Hochschule

University of Limerick


Studienort:University of Limerick Plassey Park Road
- Limerick
Irland
Mid-West Region
T  +353 61 202 314
E  Elaine.Berkery@ul.ie

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