(SCTP) Associate AI/ML Developer
About This Course
This is a part-time course. This programme is designed for career switchers looking to enter the field of AI and machine learning. It provides a structured learning path from fundamental concepts to advanced AI applications, making it suitable for individuals with little to no prior programming experience. The course begins with Python programming and progresses to data analytics, predictive modelling, and machine learning, equipping participants with the ability to build intelligent systems that extract meaningful insights from data.
Participants will explore deep learning models and generative AI, gaining an understanding of neural networks and their applications in image recognition, natural language processing, and automation. The course also introduces AI for business innovation, demonstrating how AI can improve efficiency, support decision-making, and create new opportunities in various industries. Microsoft Azure AI fundamentals and cloud-based model deployment are covered, allowing participants to work with industry-standard AI tools and platforms.
Ethical considerations and governance play an important role in AI development, and the course includes discussions on responsible AI use and regulatory frameworks. The programme is highly practical, incorporating hands-on projects, real-world case studies, and guided exercises to strengthen learning. By the end of the course, participants will have the technical expertise and industry knowledge to pursue roles in AI/ML development, data analytics, and related fields.
What You'll Learn
Beyond technical proficiency, the programme explores generative AI and its role in automating tasks, enhancing creativity, and optimising business processes. Participants will also learn how AI is applied in business innovation, gaining insights into how organisations leverage AI to improve operations and develop new solutions. Ethical considerations and governance frameworks are covered to ensure responsible AI implementation. Additionally, participants will gain hands-on experience with Microsoft Azure AI tools, learning how to build, deploy, and manage AI models in cloud environments.
The programme incorporates practical projects, industry use cases, and guided exercises to reinforce learning. By the end of the course, participants will be able to apply AI technologies effectively across various domains, preparing them for career opportunities in AI/ML development.
Entry Requirements
Academic Level Required:
- Minimum Diploma, preferably in Science, technology, engineering, and mathematics. Other disciplines are welcome to apply.
Language Proficiency:
- Be able to speak, listen, read and write English at a proficiency level equivalent to the Workplace Literacy (WPL) Level 6
Minimum Age Required:
21