Program Overview

Executive Education Programmes

Executive Education Programmes are designed to build capabilities in infocomm and digital business. The programmes cover various disciplines, including:

• Artificial Intelligence
• Cybersecurity
• Data Science
• Digital Agility
• Digital Innovation & Design
• Digital Strategy & Leadership
• Digital Products & Platforms
• Digital Sustainability
• Digital Health
• Software Systems
• StackUp - Startup Tech Talent Development

Graduate Programmes

The university offers five practice-based graduate programmes focusing on information technology (IT) and data science. The programmes include:

• Graduate Diploma in Systems Analysis
• Master of Technology in Artificial Intelligence Systems
• Master of Technology in Digital Leadership
• Master of Technology in Enterprise Business Analytics
• Master of Technology in Software Engineering

Stackable Programmes

Stackable Programmes provide an alternative pathway to continuing education without disrupting one's career. The programmes include:

• Graduate Certificates:
  • Data Science
  • Digital Solutions Development
  • Artificial Intelligence
  • Smart Systems & Platforms
• Professional Certificates:
  • Digital Leadership
  • Health Service Innovation
• Professional Diploma:
  • Health Service Transformation

Blended Learning Programmes

The Blended Learning Programmes provide individuals with the flexibility to learn over their own time and pace while achieving their academic and career goals. The programmes include:

• About
• Programmes
• Digitalisation Passport

Corporate Programmes

The university works with organisations to provide contextualised workplace training or customised learning experiences for employees. The programmes include:

• Corporate Digitalisation
• Active Learning for Problem Solving
• International Programmes
• Digital Academy Services
• Internship & Job Placements
• Skills For Transformation Programme

About Us

The NUS-ISS Team provides information about their story, achievements, and team members. The team includes:

• Management
• Practice Chiefs
• Programme Chiefs/Heads
• Teaching Staff
• Administration Staff
• Digital Academy Services
• Adjunct Staff

Integrating and Deploying AI Solutions

This course provides comprehensive coverage on the principles, methods, and tools for integrating and deploying real-world systems that incorporate intelligent components. The course covers:

• The process of architecting AI solutions that incorporate AI agents
• The applications of different types of AI agents
• The reference architectures for building agentic AI solutions
• The use of agent frameworks for building agentic AI solutions
• Advanced SE architecture and design techniques for integrating intelligent components

Key Takeaways

At the end of the course, participants will be able to:

• Differentiate MLSecOps and traditional DevSecOps in terms of objectives, characteristics, challenges, approaches
• Design and evaluate the pipeline of a ML model and its operational data by leveraging MLSecOps platforms and best practices
• Architect the scaling of ML with Cloud & MLSecOps Platforms
• Differentiate LLMSecOps and MLSecOps including the deployment strategies
• Design and evaluate the pipeline and conduct the tasks of the pipeline of LLM and its operational data by leveraging on LLMSecOps platforms and best practices

Who Should Attend

This course is applicable for:

• Data Scientists
• AI and ML Engineers
• DevOps Engineers
• Software Engineers who are part of a deployment team which facilitates a complete end-to-end process spanning from development to production

What Will Be Covered

The course will cover the process of architecting AI solutions that incorporate AI agents, the applications of different types of AI agents, and the reference architectures for building agentic AI solutions.

Instructors

The course instructors include:

• Mr. TAN Lee Chiang, Senior Lecturer & Consultant, Software Systems Practice
• Mr. Darryl NG, Senior Lecturer & Consultant, Software Systems Practice

Certificate

The NUS-ISS Certificate of Completion will be issued to participants who have attended at least 75% of the course and passed the required assessments.