Classroom/ Online: Yes/ No
Scheduling Date(s):
1) Aug 29, 2025 (classroom)
2) Nov 24, 2025 (classroom)
Note: Please click specific date for detailed venue and course fee etc.
1-Day Prompt Engineering for Productivity: Mastering Generative AI at Work
This comprehensive course is tailored for professionals looking to enhance their office productivity using prompt engineering with GAI. By exploring core concepts, advanced techniques, and practical applications, participants will master the art of writing effective prompts to streamline workflows, generate content, and solve complex problems. Additionally, the course addresses the future of generative AI and its ethical implications, ensuring learners are prepared for its responsible use in professional environments.
Objective
- Master the principles of crafting effective and goal-oriented prompts.
- Apply prompt engineering techniques to improve content creation, report generation, and project planning.
- Leverage GAI and advanced tools for content creation and image creation for marketing.
- Understand the applications for office productivity and HR functions
Outline
1. Writing prompts
2. Report writing and problem solving
3. Content creation
4. Office Productivity
- Overview of GAI and use cases
- How to write effective prompts
- Research and create reports
- Writing emails and reports
2. Report writing and problem solving
- Brainstorming and problem solving
- Comparison tables
- Evaluation metrics and checklists
- Data analysis with Excel files
3. Content creation
- Blog post
- Social media post
- Image/Logo creation
- Infographic/banner creation
4. Office Productivity
- Working with PDFs
- Manipulating tables
- Office and HR tasks
Who should attend
- Office professionals seeking to enhance productivity with generative AI tools.
- Digital marketers aiming to streamline content creation with GAI.
- Policy makers and corporate strategists leveraging AI for documentation and planning.
- Innovators and project managers focused on workflow efficiency and problem-solving.
- Technology enthusiasts interested in prompt engineering and GAI applications.
Methodology
Course Pre-Requisites
- No prior AI knowledge or software installation needed
- A Gmail account is recommended
- Participants must bring a laptop with internet access for hands-on activities
- No prior AI knowledge or software installation needed
- A Gmail account is recommended
- Participants must bring a laptop with internet access for hands-on activities
Profile of Dwight Nuwan Fonseka
Head Data Analyst | Data Governance & AI | CAIP | CDSP | ACLP
Dwight Fonseka is a seasoned data analytics professional with over a decade of experience in big data, predictive modeling, and AI. Holding a Master’s in Education (NTU), a degree in Biotechnology (NUS). He is a Certified AI Practitioner (CAIP), Certified Data Science Practitioner (CDSP), and ACLP-certified trainer with extensive experience delivering data-driven insights and practical applications across industries.
Dwight has held roles such as Senior Data Analyst and Data Governance Officer at Plano Pte Ltd, specializing in healthcare analytics and machine learning. As an adjunct trainer, he delivers practical courses in data visualization, data storytelling, deep learning, and AI business models, using tools like R, Python, Tableau, and RapidMiner.
Notable Topics Trained:
- Data Analytics & Visualization (R, Tableau, Excel)
- Machine & Deep Learning (RapidMiner, DeepCognition)
- Data Governance & AI Business Models
- Predictive Analytics & Data-Driven Decision-Making
