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No-Code Artificial Intelligence Product Development

 

04 Mar 2026, Wednesday9:00 AM - 5:00 PM (GMT +8:00) Kuala Lumpur, Singapore

 

Singapore Management University, 188065

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Overview

Imagine creating intelligent solutions, predictive models, and data-driven applications - all without the need for complex programming languages. With the emergence of No-Code artificial intelligence (AI) tools, what once seemed intimidating has now become increasingly user-friendly and accessible, changing the game for businesses and innovators. 

Whether you’re a business leader, a creative thinker, or a product manager, this session promises to demystify AI and empower more to build remarkable products. This course will cover the basics of Generative AI, the application of No-Code AI in product development and how to employ AI to streamline business processes. With the continuous evolution of Generative AI technologies, their influence in sculpting innovative and effective applications grows ever more crucial, offering a range of opportunities for professionals prepared to embrace this technological shift. 

Course Description & Learning Outcomes

At the end of the 1-day course, participants will be able to:

• Grasp the foundational concepts, technologies, and principles of generative artificial intelligence (AI) and their application in No-Code AI product development

• Understand the current application of generative AI in product development, including intelligent solutions, predictive models, and data-driven applications

• Recognise potential concerns and risks associated with the use of No-Code AI product development

• Develop practical abilities through interactive exercises utilising top generative AI tools for data analytics  

Schedule

Date: 04 Mar 2026, Wednesday
Time: 9:00 AM - 5:00 PM (GMT +8:00) Kuala Lumpur, Singapore
Location: Singapore Management University, 188065

Pricing

Course Pricing

Skills Covered

PROFICIENCY LEVEL GUIDE
Beginner: Introduce the subject matter without the need to have any prerequisites.
Proficient: Requires learners to have prior knowledge of the subject.
Expert: Involves advanced and more complex understanding of the subject.

  • Frontend Development (Proficiency level: Beginner)
  • artificial Intelligence (Proficiency level: Beginner)
  • Product Development (Proficiency level: Beginner)
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