Generative AI (GenAI) is transforming industries, redefining productivity and sparking innovation across the globe. From automating routine tasks to creating groundbreaking
solutions, this cutting-edge technology empowers businesses and individuals to achieve more with less effort. Staying relevant in this fast-evolving digital era means
mastering the tools and techniques that drive this revolution.
Join our GenAI courses to harness AI for creativity, efficiency and competitive advantage. Learn from experts, gain hands-on experience and elevate your career and organisation.
|
|
| | *NEW!* (Generative) AI for Business Leaders (or Government Leaders) Up to 70% SSG-Funding Available!
This course equips leaders and decision-makers with the knowledge and strategies to harness GenAI for innovation, growth, and organisational transformation. Participants
will explore the fundamentals, applications, and ethical considerations of AI, learning how to implement it effectively to drive change and gain a competitive edge. |
|
|
Who should attend?Organisational Leaders: Managers and team leaders aiming to drive innovation with AI. Business Owners and Entrepreneurs: Looking to transform businesses using AI-driven opportunities. Public Sector Leaders: Interested in improving service delivery and citizen engagement with AI. Innovation Champions: Professionals eager to spearhead AI transformation initiatives. Decision-Makers: Those responsible for planning and implementing new technologies.
|
|
What You'll Learn?- Understand the fundamentals and real-world capabilities of GenAI.
- Develop practical strategies for implementing AI in organisational transformation.
- Explore diverse business applications, including retrieval-augmented generation.
- Learn how to leverage AI for innovation and gain a competitive advantage.
- Build a framework for ethical AI implementation and governance.
|
|
| Benefits of Attending - Drive Growth: Leverage AI to unlock new opportunities and foster organisational development.
- Stay Ahead: Gain actionable insights to maintain a competitive edge in your industry.
- Transform Leadership: Equip yourself to lead AI-driven innovation with confidence.
- Foster Ethical AI: Build responsible governance frameworks for sustainable AI practices.
The next (Generative) AI for Business Leaders (or Government Leaders) course will be held from:
18 - 19 February 2025 | 
|
|
|
|
| *NEW!* Custom Generative AI Systems for Enterprises Up to 90% SSG-Funding Available!
This course equips participants with the knowledge and skills to design, fine-tune, and deploy generative AI systems for enterprise use. Through a blend of theory and
hands-on practice, participants will learn to build custom LLMs or optimise foundational models to address complex business challenges. |
|
|
Who should attend?IT Professionals, CTOs and Technical Leaders: Looking to enhance AI capabilities within their organisations Data Engineers/Scientists, ML Engineers and Software Developers: Aiming to specialise in LLM fine-tuning and deployment Professionals: Seeking to gain cutting-edge skills in building and optimising AI systems for enterprise applications
|
|
What You'll Learn?- Core principles of LLMs, including transformers architecture and fine-tuning techniques
- Hands-on skills for building, deploying, and optimising generative AI models using tools like LangChain and LlamaIndex
- Best practices for scaling, tokenisation, and implementing responsible AI solutions
|
|
| Benefits of Attending - Stay Competitive: Gain in-demand expertise in GenAI to stay ahead in your field.
- Drive Efficiency: Learn to build scalable, efficient AI systems tailored to enterprise needs.
- Boost Career Growth: Enhance your professional prospects with cutting-edge AI skills.
- Strengthen In-House Expertise: Reduce reliance on external providers by developing custom enterprise AI systems.
- Ensure Ethical AI Practices: Gain insights into implementing responsible AI for scalable and ethical solutions.
The first Custom Generative AI Systems for Enterprises course will be held from:
3 - 7 March 2025 | 
|
|
|
|
| *NEW!* (Generative) AI to Supercharge Products & Workflows Up to 70% SSG-Funding Available!
Elevate your business and operational strategies with the cutting-edge "(Generative) AI to Supercharge Products & Workflows" course offered by NUS-ISS. This dynamic
two-day programme is designed to help you integrate GenAI into your operations, driving unparalleled innovation and efficiency.
Do note that participants are required to have completed the (Generative) AI for Business Leaders (or Government Leaders) course
prior to attending this course. |
|
|
Who should attend?- Product Owners: Aiming to innovate and improve product management strategies.
- Senior Executives: Seeking to sponsor and lead impactful AI projects within their organisations.
|
|
What You'll Learn?- Re-architect traditional business processes with AI.
- Innovate product management strategies.
- Drive improvements in service delivery and competitive positioning.
|
|
| Benefits of Attending - Stay Ahead of the Curve: Be at the forefront of the GenAI revolution in your industry.
- Enhance Products and Services: Learn how to leverage AI to boost operational efficiencies.
- Ensure Ethical Governance: Understand the importance of ethical AI implementation.
- Promote Sustainable Growth: Equip yourself with tools for sustainable business development.
- Transform Business Management: Set a new standard of excellence within your sector.
The next (Generative) AI to Supercharge Products & Workflows course will be held from:
25 - 26 February 2025 | 
|
|
|
|
| Other Upcoming AI Courses |
|
|
|
 | Autonomous Robots and Vehicles | Course Dates: 15 Feb - 15 Mar 2025 |  | |  | Spatial Reasoning from Sensor Data | Course Dates: 22 Feb - 8 Mar 2025 |  |
| |
 | AI and Cybersecurity Online Blended Learning
| Course Dates: 17 Feb - 27 Mar 2025
|  | |  | Reasoning Systems SSG-Funded! | Course Dates: 1 - 29 Mar 2025
|  |
|
 | Problem Solving using Pattern Recognition Online Blended Learning | Course Dates: 17 Feb - 28 Apr 2025
|  | |  | Credit Risk Modelling and Analytics | Course Dates: 3 - 7 Mar 2025
|  |
|
| |
|
|