Client Challenge:

• The Housing Authority in Hong Kong sought to advance its data analytics capabilities by equipping technical staff with intermediate to advanced machine learning and AI skills.
• The key challenges included upskilling participants with varying prior experience to master complex topics like neural networks and model deployment, while ensuring the training delivered practical, immediately applicable outcomes aligned with public sector operational needs and regulatory considerations.

Our Solution:

Decoder designed and delivered a specialized "Machine Learning with AI (Intermediate to Advanced Level)" training program tailored for the Housing Authority. Leveraging our expertise in advanced AI education and public sector digital initiatives, our solution focused on bridging theory with production-ready implementation, including:

• Customized Advanced Curriculum: In-depth modules on building and training neural networks, transfer learning with pre-trained models, techniques for model interpretability, and best practices for robust, ethical AI development.
• Hands-On Deployment Training: Practical workshops on deploying models using Flask or FastAPI frameworks to enable real-time predictions, with exercises simulating housing-related scenarios.
• Real-World Housing Applications: Guided participants through case studies, such as predicting housing maintenance needs or analyzing resident patterns.
• Comprehensive Resources: Provided code repositories, deployment templates and post-training reference materials to support ongoing workplace application.
• Expert-Led Delivery: Facilitated by seasoned AI engineers, ensuring clear instruction and personalized guidance.

Outcome:

• Advanced Skill Mastery: Over 90% of participants successfully built, interpreted, and deployed machine learning models, demonstrating proficiency in transfer learning and real-time API integration.
• Enhanced Confidence & Practical Application: Post-training feedback indicated a significant boost in confidence, with many participants immediately applying AI techniques to internal projects, accelerating data-driven initiatives.
• Sustained Talent Development: The program built on prior Python training, creating a progressive skill pathway and contributing to a more AI-ready workforce within the public sector.