New Industry-focused Certificate in Foundations of Artificial Intelligence to be Accredited by TU Dublin
The School of Computer Science at TU Dublin recently announced a new ‘Foundations of AI’ course in collaboration between the University and Krisolis, ICT Skillnet and Women in AI. The deadline to apply is this Wednesday, 11 November at 5 pm.
The new course will be accredited by TU Dublin and delivered by Krisolis (formerly the Analytics Store), funded by ICT Skillnet and supported by Irish Chapter of Women in AI. The idea behind the course is to address gaps in the skills development of AI talent in Ireland. In a broader sense, it will look to enhance Ireland’s position as a leader in this rapidly growing sector. The course is specifically targeted at individuals who may have an interest in transitioning into the AI disciplines but who do not necessarily have a background in AI.
Professor Sarah Jane Delany from the School of Computer Science at TU Dublin, a key architect in its development, welcomed the course’s recent validation: "We are delighted to be partnering with Krisolis, Technology Ireland ICT Skillnet and Women in AI in delivering this programme. AI as a discipline is growing in importance with companies increasingly turning to machine learning, robots, and other AI-based technologies to enhance their business performance. This programme provides students with the key skills and concepts to facilitate them beginning a career in AI or continuing further study in the field. This innovative programme aligns with our goals of learning pathways, real-world impact and inclusion, and we are delighted to be a part of this initiative."
The course itself has been developed as a Level 8 10 ECTS Continuing Professional Development Certificate with the first cohort of 35 students starting on November 23rd 2020. It will be an online 12-week instructor-led course which will also include one-to-one mentoring sessions.
The course will provide students with an introduction to Artificial Intelligence and move on to cover several key areas within the discipline, including:
Using an Agile Framework and Designing and Architecting AI Solutions
- AI Tools & Ecosystems
- Data Visualization
- Mathematical Foundations of AI
- Programming with Python
- Ethical Practice in Artificial Intelligence
The course is still open to eligible applicants with 25 fully funded places available. More information on eligibility criteria can be found here.
The closing date for applications is 5 pm on Wednesday 11th November 2020.
