Diploma in Machine Learning & AI for Industry (September 2020)

TU Dublin (TA_KMLAI_B)
Key Programme Details
Award

Diploma in Machine Learning & AI for Industry

NFQ Level

Level 8 About NFQ

Delivery Method

Online, Classroom, Blended

Mode

Part Time

ECTS Credits

35

Department

Department of Computing, TU Dublin, Tallaght

General Information
Contact

Lifelong Learning

Email

Springboard.tallaght@TUDublin.ie

Phone

01-4042531

Address

Department of Lifelong Learning,
TU - Dublin Tallaght,
Dublin 24.
D24 FKT9

Important Dates
Application Deadline

18/09/2020

Start Date

21/09/2020

End Date

31/08/2021

About this Course

Irelands AI strategy seeks to set Ireland as a premier location for AI development and application.
This programme supports that strategy through creating more AI/ML skilled persons able to tackle these challenges.
Modern organisations depend more and more on Big Data. Managers and specialists are now expected to be able to deploy Machine Learning (ML) and Artificial Intelligence (AI) techniques in exploiting this data, yet many qualified when these tools were not available.

This award is focused at numerate graduates in organisations and provides upskilling on modern Machine Learning, AI & Deep Learning techniques to solve a wide range of Business and industry problems. Serious emphasis is placed on solving real world problems using real world tools available in the cloud from AWS and Microsoft as well as using open source tools. Modules include Python, Data Analysis, Data Visualisation, Applied Machine Learning (ML), Applied AI and Deep Learning, IT Governance and Quality as well as project. Ethics and Business form part of the programme.

Learners gain skills in data analysis using statistical and visualisation techniques. The programme also examines the application of Artificial Intelligence and Deep Learning (neural networks) that will include classification, regression, image, text and time series problems. A project in the ML/AI arena caps the learner's studies giving them opportunity to fuse the skills they have acquired during the programme.

This programme provides a comprehensive coverage across areas of significant skills shortage in data analysis and advanced data analytics in the ICT Sector as identified in the Expert Group of Future Skills Need's of Assessing the Demand for Big Data and Analytics Skills 2013-2020 which is further reinforced in Springboard Guidance for HE Providers (2016) and the upcoming ICT Skills Plan.

Objectives

Demonstrate specialised knowledge and understanding of intermediate and advanced concepts in the areas of Machine Learning, AI, Ethical, Social and Professional IT related issues.
Demonstrate knowledge and understanding of Data Analytics and Business Reporting as used in an organisation.

On successful completion of this programme, the graduate will demonstrate the following:
a. Ability to analyse, interpret and manipulate data in pursuit of solutions to complex business problems
b. Ability to integrate knowledge from a range of subject areas and analyse information from a variety of contexts.
c. Demonstrate a critical understanding of the general ethical, legal and regulatory implications of handling data, and responsibilities in a business and wider social context.
d. Develop and demonstrate effective competencies in communication, data analysis, problem solving, collaboration and research.

Exercise appropriate judgement in planning, design, technical and/or supervisory functions related to data analytics solutions. The learner will be able to test and confirm the extent to which a computer-based system e.g. machine learning model meets the criteria defined for its current use; create technical documentation, locate and evaluate information through online research; design and implement computer-based systems, apply strategies to identify and solve data analytics problems; justify selections from alternatives; recognise the moral and ethical issues involved in the exploitation of computer technology.

Selection of appropriate development platforms for Data Analytics solutions. Selection of appropriate machine learning and AI technologies and techniques.

Entry Requirements

Applicants require a numerate level 8 or equivalent in a cognate area with some experience/ knowledge of statistics and related IT/ Business skills.

The following are eligible to apply for courses in 2020/21 academic year (subject to the applicant meeting all requirements, e.g. academic requirements):
• Returners (Formerly known as Homemakers) May apply to all courses if they meet the nationality/visa requirement and residency criteria.
• People in employment May apply to all courses if they meet the nationality/visa requirement and residency criteria.
• Please note that a 10% course fee contribution for Level 7, 8, and 9 courses is applicable for employed participants. This is payable directly to the provider.
• The unemployed or formerly self-employed all courses are open to these category of applicants, with the exception of the two year part-time ICT conversion courses which are not open to those in receipt of a Jobseekers-related payment

Long Description

Irelands AI strategy seeks to set Ireland as a premier location for AI development and application. this programme supports that strategy through creating more AI/ML skilled persons able to tackle these challenges.
Modern organisations depend more and more on Big Data. Managers and specialists are now expected to be able to deploy Machine Learning (ML) and Artificial Intelligence (AI) techniques in exploiting this data, yet many qualified when these tools were not available.

This award is focused at numerate graduates in organisations and provides upskilling on modern Machine Learning, AI & Deep Learning techniques to solve a wide range of Business and industry problems. Serious emphasis is placed on solving real world problems using real world tools available in the cloud from AWS and Microsoft as well as using open source tools. Modules include Python, Data Analysis, Data Visualisation, Applied Machine Learning (ML), Applied AI and Deep Learning, IT Governance and Quality as well as project. Ethics and Business form part of the programme.

Learners gain skills in data analysis using statistical and visualisation techniques. The programme also examines the application of Artificial Intelligence and Deep Learning (neural networks) that will include classification, regression, image, text and time series problems. A project in the ML/AI arena caps the learner's studies giving them opportunity to fuse the skills they have acquired during the programme.

This programme provides a comprehensive coverage across areas of significant skills shortage in data analysis and advanced data analytics in the ICT Sector as identified in the Expert Group of Future Skills Need's of Assessing the Demand for Big Data and Analytics Skills 2013-2020 which is further reinforced in Springboard Guidance for HE Providers (2016) and the upcoming ICT Skills Plan.

Why Choose This Course

This programme provides a comprehensive coverage across areas of significant skills shortage in data analysis and advanced data analytics as identified in the Solas National Skills Bulletin 2018, the Expert Group of Future Skills Need’s “Assessing the Demand for Big Data and Analytics Skills 2013-2020” which is further reinforced in Springboard Guidance for HE Providers (2016) and the upcoming ICT Skills Plan as well as numerous industry reports.

In preparing this programme, the Department of Computing contacted over twenty graduate employers. In addition to the support of the Dublin Regional SkillsForum, specific feedback has been obtained from over 20 companies, where all have identified a specific and urgent need for upskilling existing staff in these areas.

Irrespective of the domain that the student works or will work in, Machine Learning and AI and machine learning is affecting most walks of life. Our graduates will have the knowledge and the skill to build, deploy and assess the models developed using these technologies.

The world economic forum report has determined that 54% of employees of large companies would need to up-skill in order to fully harness these growth opportunities, and that AI will create 52 million jobs by 2022.

Machine Learning and AI requires skills to be developed that are critical and innovative thinking, inter-personal skills (presentation and communication skills of the analysis, organizational skills, teamwork to draw on the expertise of other to gain the domain knowledge), intra-personal skills (self-discipline, enthusiasm, perseverance, self-motivation, to keep mining the data), global citizenship (ethics, the ‘should we’ of data analytics) and finally media and information literacy such as the ability to locate and access information, as well as to analyse and evaluate media content (fake news etc.) in the realm of cyber security and spam detection.

Machine Learning and AI are a computer science discipline that is a field that is increasingly relevant to management and leadership. The ethics of and what to do with this information is also becoming a vital aspect for a data analyst. More and more data analytics is becoming engrained in management and the core of business structure. The Harvard business review shows that almost all workplaces will be affected by AI and machine learning. From medicine (cancer screening) to autonomous cars, from neural nets used to detect and prevent fraudulent transactions to smart personal assistants, from product recommender systems to airline predictive maintenance, all workplaces of the future will be some way affected by this discipline.

Modules:
Python - Introduce Python scripting and develop programs for common business problems to underpin tasks in other modules in data analysis, machine learning and neural networks.

Data Analysis - Data analysis as a discipline, data preparation, statistical summarisation of data and exploration of relationships between data as an introduction to modeling.

Data Visualisation - Build interactive visualisations and dashboards.

Applied Machine Learning (ML) - The foundations for advanced analytics and be able to apply supervised and unsupervised techniques underpinning the Machine Learning Process.

Applied AI and Deep Learning - The building blocks of neural networks and be able to develop neural nets for standard data, computer vision, text and sequences.

IT Governance and Quality - To give the learner an appreciation of the role of IT Governance in the function of modern business.

Project - An individual student project that brings together learning outcomes of all modules

Timetable Info

Two/Three evenings per week. Timetable is subject to change.

Delivery Location

TU - Dublin Tallaght,
Dublin 24.
D24 FKT9

Delivery Notes

Blended

Admissions Contact Details
Contact Person

Lifelong Learning

Address

Department of Lifelong Learning,
TU - Dublin Tallaght,
Dublin 24.
D24 FKT9

Phone

01-4042531

Email

Springboard.tallaght@TUDublin.ie

RPL Information

Recognition of Prior Learning at TU Dublin Tallaght. The RPL process will enable Springboard participants to build on their existing skills and competence. The University is aware that many Springboard applicants will have a range of knowledge skills and competence that they have developed through their life and work experience and that are not necessarily accredited. TU Dublin Tallaght has an RPL process in place that recognises both the accredited and experiential learning of an individual. TU Dublin Tallaght will work with Springboard participants to identify their existing skills and competence and to award them credit for their learning however it has been acquired. This will ensure that Springboard participants will have the opportunity to gain credit for both their accredited ad experiential learning and can tailor their programme to complement existing skills and knowledge and to develop new skills to support future years.

Application Procedures

In order to process your application, we require copies of the following:

Identification (Passport/Driving License)

All Transcripts/Awards, Curriculum Vitae, Proof of employment/Social Welfare benefit/Returner/Self-Employed and any documentation that you may consider relevant in supporting your application.

Proof of competency in English (if required)

If your qualification is from a country other than Ireland: please request a letter of recognition from the National Qualifications Authority of Ireland (NQA) and attach to your application with a copy of your original transcript.