PLC (Further Education - FET)

Certificate

AI and Machine Learning Foundations

Course Code
5M0529
Zone
Level
NFQ Type
Major
Duration
1 Year
Attendence
Full Time

Course Summary

Course Category: PLC (Further Education - FET) Apply directly to College

This course equips learners with the essential skills and knowledge to explore the rapidly advancing field of AI. Through a practical and theoretical approach, students delve into machine learning, Python programming, and mathematical methods, building the foundation required to progress to higher education or enter the tech workforce.

This course addresses the growing demand for expertise in AI by providing a pathway to further study in computer science and machine learning, particularly for those aiming to meet university entry requirements for programmes at institutions such as TCD, UCD, and TUD.

Course Details

Dublin College Dundrum
College Link  >  AI and Machine Learning Foundations

Colleges often have information about the course on their own website, along with other useful information relating to the college. (Note: Not always available)

What will you study?

Progression to CAO Courses

Higher Education Links Scheme (HELS)

This course leads to a QQI Major Award, and provides progression opportunities to a number of Higher Education courses, including those in the CAO.

To view CAO courses to which any Major Award (including this one) provides a possible Progression route, click below:

CAO with Any QQI Major Award

To view additional CAO courses which this specific course may lead to, click on one of the Award Codes below:

Old FETAC Code New QQI Code
5M0529

To calculate Points based on your QQI award results, use the PLC Points Calculator.

The Student - Career Interests

This course is typically suited for people with the following Career Interests:

Administrative

Administrative people are interested in work that offers security and a sense of being part of a larger process. They may be at their most productive under supervisors who give clear guidelines and while performing routine tasks in a methodical and reliable way.

They tend to enjoy clerical and most forms of office work, where they perform essential administrative duties. They often form the backbone of large and small organisations alike. They may enjoy being in charge of office filing systems, and using computers and other office equipment to keep things running smoothly. They usually like routine work hours and prefer comfortable indoor workplaces.

Creative

Creative people are drawn to careers and activities that enable them to take responsibility for the design, layout or sensory impact of something (visual, auditory etc). They may be atrracted to the traditional artistic pursuits such as painting, sculpture, singing, the performing arts or music. Or they may show more interest in design activities, such as architecture, animation, or craft areas, such as pottery and ceramics.

Creative people use their personal understanding of people and the world they live in to guide their work. Creative people like to work in unstructured workplaces, enjoy taking risks and prefer a minimum of routine.

Enterprising

Enterprising people like situations that involve using resources for personal or corporate economic gain. Such people may have an opportunistic frame of mind, and are drawn to commerce, trade and making deals. Some pursue sales and marketing occupations. Many will eventually end up owning their own business, or in management roles in larger organisations. They tend to be very goal-oriented and work best when focused on a target. Some have an entrepreneurial inclination.

Further Research

College Link > 5M0529 - AI and Machine Learning Foundations

Colleges often have information about the course on their own website, along with other useful information relating to the college. (Note: Not always available)

DISCLAIMER: These links are to official sources of information for this course - we accept no responsibility for the information on them.

Career Progression

Graduates can pursue careers in:

  • Artificial Intelligence
  • Software Development
  • Data Science
  • Technology Consultancy

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