Build with Gen AI
About This Course
This basic level, 2-day course is designed to equip learners with hands-on competencies in applying prompt engineering, integrating AI models using modern frameworks, and enhancing application output through context augmentation techniques such as Retrieval-Augmented Generation (RAG). Participants will also learn to troubleshoot common performance issues and optimize system configurations to ensure smooth deployment.
Learners will gain essential knowledge of developer tools, low-code platforms, and system requirements while applying industry-standard practices for AI integration and deployment. The course emphasizes practical skill application, allowing learners to build, enhance, and deploy functional GenAI components with real-world use cases.
This course addresses growing enterprise needs for talent skilled in AI development lifecycle management. Upon completion, learners will be better positioned for career progression in roles such as AI developers, solution architects, digital transformation specialists, or product managers in sectors adopting AI—ranging from finance and logistics to tech and government services.
What You'll Learn
• LO1: Use systematic troubleshooting procedures to diagnose and resolve performance issues in AI applications using standard documentation and help resources
• LO2: Perform proper software configurations and system compatibility checks to ensure optimal AI application performance across different environment.
• LO3: Apply knowledge of AI model limitations and error patterns to appropriately categorize, document, and escalate complex issues encountered with AI tools
• LO4: Construct Retrieval Augmented Generation (RAG) systems using vector databases and retrieval algorithms to enhance AI application responses with relevant contextual information
• LO5: Demonstrate prompt engineering techniques and model configuration strategies to integrate foundational models into applications using low-code/no-code development platforms and specialized AI frameworks
Entry Requirements
Entry Requirements
- 1 year of working experience in any sector; and
- Workplace Literacy and Numeracy (WPLN) 4 or equivalent
*Learners without the right WPLN or equivalent qualifications can be accepted if they have at least 3 years of relevant working experience, subject to the MR’s approval.