Course Overview
The ever-evolving landscape of AI makes it a necessity to continuously update course curricula to align with current trends and technologies. Incorporating modules on cloud development and Generative AI help to ensure that graduates have the technical prowess to navigate the current technological landscape and meet the evolving demands of the industry.
The synergy between AI and cloud computing has proven instrumental in accelerating innovation and providing scalable solutions across industries. A large number of organisations are transitioning to cloud-based AI services due to their convenience, scalability, and cost-effectiveness. By incorporating a module on cloud development, we aim to equip students with practical skills for creating, deploying, and managing AI solutions on cloud platforms. This addition will ensure that graduates have the technical prowess to navigate the current technological landscape and meet the evolving demands of the industry.
Generative AI, as demonstrated by models like GPT-3 and DALL-E 2, as well as applications such as ChatGPT, has showcased the unprecedented capabilities in creating original, high-quality outputs, revolutionising fields from content creation to design and arts. Including a comprehensive module on Generative AI will enable students to grasp the underlying principles and potential applications of these transformative technologies. By understanding how AI can create unique content, students will be better positioned to contribute to innovation and creativity in their respective careers.
The course aims to provide students with a balanced understanding of both the theoretical principles and practical applications of AI. This will keep the course content up to date with the latest advancements, enhancing the curriculum's industry relevance and graduates’ competitive advantage in the job market. Additionally, it will provide students with the necessary skills to effectively engage with AI in the future of work.
All students are required to bring their own notebooks for lessons. You may refer to the required technical specifications for notebooks HERE.
Entry Requirements
Minimum Entry Requirements
A Polytechnic Diploma or ITE Technical Diploma / Technical Engineer Diploma / Work-Learn Technical Diploma in Science, Technical, Engineering, Math (STEM) or equivalent
OR A Bachelor’s Degree or equivalent
OR A Post-Secondary Certificate with at least 3 Years of relevant working experience
Who Should Attend
This program is suitable for working IT professionals, IT entrepreneurs, IT business owners, or individuals with software development experience seeking strategic change in using AI to drive digital transformation. The course will deepen their skills in the areas of cloud computing, machine learning, deep learning, and natural language processing to capture opportunities in the AI industry.
What You'll Learn
Upon graduating from the course, graduates should be able to:
- Understand the Intersection of Cloud and AI: Gain a deep understanding of the dynamic nexus between cloud computing and machine learning, including leveraging cloud platforms for scalable machine learning solutions.
- Develop Hands-on Machine Learning Skills: Acquire practical skills in designing, deploying, and managing machine learning models in cloud environments, ensuring optimized performance and scalability.
- Master Data Engineering for ML: Learn the intricacies of data collection, storage, preparation, analysis, and visualization tools, essential for analytics and machine learning applications.
- Explore Advanced Deep Learning Concepts: Delve into complex deep learning architectures like neural networks, convolutional architectures, and recurrent models, and apply these in domains like computer vision and natural language processing using cloud infrastructures.
- Harness Generative AI Techniques: Obtain hands-on experience with generative AI, learning to train and deploy Large Language Models and image generation services like Stable Diffusion in the cloud, and master prompt engineering to optimize generative outputs.
To be awarded the Specialist Diploma, participants are required to complete a total of 2 Post-Diploma Certificates (PDCs). A certificate will be issued upon successful completion of each PDC.
Modes of Assessment
The assessment would be based on a combination of coursework components such as written test /quiz, projects and presentations.
Career Opportunities
This course provides job opportunities for graduates to pursue AI/ML Engineer positions across the various sectors, leveraging their skills and knowledge in cloud-based AI technologies. They will also have the opportunity to apply their skills in Generative AI to develop cutting-edge and imaginative AI solutions.
Upon completing the part-time diploma course, graduates can look forward to taking up the following types of roles:
- Machine Learning Engineer
- Data Analyst
- AI Developer
- Natural Language Processing (NLP) Engineer
- AI Consultant
- Prompt Engineer
Course Contact
- Mainline 67881212
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Monday - Thursday: 8:30am - 6:00pm
Friday: 8:30am - 5:30pm
Closed during lunchtime, 12:00pm - 1:00pm
and on weekends and public holidays. - https://www.tp.edu.sg/tsa
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Temasek SkillsFuture Academy (TSA)
Temasek Polytechnic
East Wing, Block 1A, Level 3, Unit 109
21 Tampines Ave 1
Singapore 529757
Temasek Polytechnic reserves the right to alter the course, modify the scale of fee, amend any other information or cancel course with low enrolment.