Advanced Diploma in Applied Artificial Intelligence (Educare Global Academy)

Age Requirements: 18 years old and above.

Academic Requirements: Year 12 High School or equivalent; Diploma from a polytechnic in Singapore or the same discipline Diploma from other Private Education Institutes; EGA Diploma in Applied Artificial Intelligence and Analytics; Other foreign qualifications shall be assessed on a case-by-case basis.

Language Proficiency: Minimum of Band 6 IELTS; PTE Academic score of 46; Duolingo score of 95-100; TOEFL iBTscore of 60; Letter from College/University stating the medium of instruction of the highest qualification obtained to be in English; C6 pass in English GCE ‘O’ level or equivalent.

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Cloud Technologies for AI

Develop an understanding of cloud computing technologies and their application in developing and deploying machine learning applications.

Natural Language Processing

Develop an understanding of the fundamental concepts of natural language processing (NLP) and its application in developing AI solutions.

AI Applications

Develop an understanding of the practical application of AI in various industry domains such as digital marketing, cybersecurity, Fintech, and advanced manufacturing.

Mathematics for AI

Develop an understanding of key mathematical concepts in data mining, machine learning, data preparation, and model building, including linear algebra, singular value decomposition (SVD), and principal component analysis (PCA).

Data Visualisation

Develop an understanding of the importance of data visualization in gaining insights into business data and making data-driven decisions.

Deep Learning

Develop an understanding of neural network architectures and their applications in deep learning.

Data Structures and Algorithm (AI)

Develop an understanding of advanced Object- Oriented concepts and their application in AI.

DevOps and Automation for AI

Develop an understanding of DevOps concepts and their application in AI, including containerization and Infrastructure-as-Code.

Software Processes and Practices

Students will be able to understand and apply advanced concepts in software engineering. This includes a deeper understanding of software development methodologies, project management techniques, software quality assurance, and maintenance.

Advanced Programming

Students will be able to understand and apply advanced programming concepts such as object-oriented programming, functional programming, concurrent and parallel programming. They will also understand the differences, benefits, and potential use-cases for each paradigm.

Mode of Delivery: The programme consists of 10 modules and may be completed after 8 months of lessons.

Full-Time: Lessons will commence 5 days a week for a maximum of 3 hours per day with a total of 520 learning hours. Mode of delivery is blended.

Part-Time: Lessons will commence 3 days on weekdays for a maximum of 3 hours and on weekends for a maximum of 6 hours per day with a total of 520 learning hours. Mode of delivery is blended.

Assessment Method: Examination and projects.

Graduation Requirements: Minimum of 50% pass in all modules.

Duration: 8 months (Full-time and Part-Time).