Mastering Prompt Engineering for Generative AI to Boost Workplace Productivity: ChatGPT, Google Gemini, Claude, and Microsoft Copilot
About This Course
This comprehensive one-day program, Mastering Prompt Engineering for Generative AI, empowers professionals to transition from basic AI interactions to crafting effective prompts that shape outputs in AI models. The curriculum facilitates an evolution from basic construction to nuanced and strategic input design, ensuring participants can create prompts that optimize AI model performance across platforms like ChatGPT, Gemini, CoPilot, and Claude. By combining different methodologies—including Few-Shot prompting, Chain-of-Thought reasoning, and Persona Engineering—learners will move beyond "chatting" to generate innovative and effective prompts that solve specific business frictions and automate repetitive workplace tasks.
What You'll Learn
• LO1: Apply the CTIO (Context, Task, Instruction, Output) framework to engineer high-performance prompts that align with specific business objectives
• LO2: Execute advanced prompting methodologies, including Few-Shot learning and Persona Engineering, to ensure AI outputs match corporate brand standards
• LO3: Analyse complex workflows to implement Chain-of-Thought prompting, enabling AI to perform multi-step logical reasoning and problem-solving
• LO4: Develop a personalized "Prompt Library" and automation roadmap to eliminate at least one major recurring workplace inefficiency
Entry Requirements
- At least completed secondary school or equivalent
- Able to speak, listen, write, and read English with Numeracy skills at a minimum proficiency level of the Employability Skills Workforce Skills Qualification i.e., Workplace Literacy and Numeracy (WPLN) Level 5
- Be proficient users of either a Windows or Apple Laptop
- No prior work experience is required
*Learners who do not qualify in terms of education but have at least one year of relevant working experience will be admitted on a case-by-case basis, subject to approval by the Management Representative (MR).