(16 hrs) AI-Capstone Project: AI Solution for Enterprise
About This Course
The AI Capstone Project is designed for participants to solve real-world business problems through a guided, end-to-end build process.
Moving beyond theoretical concepts, this hands-on workshop empowers participants to develop functional generative AI modules - supported by an e-learning track on Data Storytelling - directly within their own professional context.
By focusing on actual work environments, the program ensures that every activity contributes to improving the clarity, structure, and repeatability of daily tasks.
Under the direct mentorship of an expert trainer, participants navigate the full development lifecycle: from defining a high-value use case and preparing datasets to designing, building, and refining a GenAI pilot.
The program is customized to include specific organizational data and proprietary "pain points". This methodology ensures that the final AI architecture is strategically aligned with the organization's unique internal workflows and industry requirements.
By the conclusion of the program, each participant will have produced a ready-to-use AI module supported by comprehensive workflow documentation and adoption guidelines. A critical component of the finale is the Data Storytelling framework, which enables participants to turn AI outputs into compelling narratives.
The program culminates in a final presentation where measurable impact and ROI are demonstrated to stakeholders, providing a clear roadmap for sustainable integration and career advancement.
What You'll Learn
• Identify high-value GenAI use cases within your specific work environment that offer clear opportunities for measurable ROI and process automation.
• Gather and prepare internal datasets or unstructured materials to ensure all input materials are high-quality, cleaned, and AI-ready.
• Design professional output specifications and model behaviour protocols to ensure consistent, high-quality results that align with your organizational standards.
• Build and iteratively refine functional AI prototypes using advanced prompt architectures to achieve peak operational performance.
• Validate, document, and present the completed AI module using data storytelling to ensure reliability, responsible usage, and clear communication of impact within existing departmental workflows.
Entry Requirements
Prerequisites
• Completion of following modules:
- AI-Driven Sales & Marketing: Boosting Engagement & Conversions
- AI in HR: Transforming Talent Acquisition & Workforce Management
- AI-Powered Finance: Automating Insights & Risk Management
- AI-Driven Business Intelligence: Smarter Reporting & Analytics
- AI Smart Inventory: Predictive Analytics & Optimisation
- AI in Operations: Enhancing Workflow Efficiency & Automation
Language:
• Attained at least WPLN level 6 OR
• Obtained Grade C6 for GCE O level English OR
• Other equivalent qualifications
Academic:
• Obtained at least a pass or C6 at GCE O Level in at least 3 subjects OR
• Candidates with other qualifications will be considered on a case-by-case basis OR
• Mature candidates (≥ 30 years old) with 8 years of relevant working experience