Build Customised Gen-AI Applications to Supercharge Your Work
About This Course
Designed for professionals seeking to harness the power of generative AI, this course introduces learners to the process of designing, integrating, and deploying generative AI tools into everyday workflows. Using no-code platforms, learners will configure prompts, apply context-augmentation strategies like RAG, and troubleshoot common performance issues. By the end of the course, learners will have developed customized AI applications aligned with specific use cases in business, marketing, education, or customer service.
What You'll Learn
LO1 - List system requirements, limitations of generative AI models and provide scenarios where issues should be escalated during application development
LO2 Apply prompt engineering and model configuration techniques to integrate foundational models into functional applications.
LO3 Apply Retrieval Augmented Generation (RAG) using vector databases and retrieval algorithms to enhance application responses.
LO4 Build a GenAI applications using low-code/no-code platforms with integrated prompt workflows and best-practice configurations.
LO5 Troubleshoot common system and performance issues in GenAI applications and maintain appropriate configurations.
Entry Requirements
• Age: 25 years and above
• Education: At least a GCE 'O' Level certificate/ GCE ‘N’ Level (Normal Academic stream), Nitec and Higher Nitec qualifications
o Applicants without formal academic qualifications may also be considered if they have relevant work experience
• Digital Proficiency:
o Able to perform basic computer tasks such as internet search, creating folders, and copy-paste operations
• Technical Experience:
o No coding experience is required