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This one-day intermediate-level course is designed for individuals who want to elevate their use of ChatGPT beyond basic interactions by mastering the art of effective information search and prompt engineering. Participants will explore how to formulate precise, structured, and context-aware prompts that yield more accurate, relevant, and high-quality results. Through a blend of facilitated presentations, real-life case discussions, hands-on prompting labs, and scenario-based exercises, learners will gain practical skills to refine their queries iteratively, apply advanced prompting techniques such as Chain of Thought reasoning, and incorporate constraints like tone, format, and audience into their prompts. Whether used for research, analysis, content planning, or workplace productivity, this course empowers participants to think critically, ask better questions, and make the most of ChatGPT in solving real-world problems with greater confidence and efficiency. This HRD Corp (HRDC) Claimable Course (Previously Known as SBL-Khas) Is Delivered by a Penang-Based Training Provider Registered with HRD Corp (Formerly Known as HRDF), Specializing in Corporate Skills Development and Workforce Upskilling Across Malaysia. 100% HRD Corp Claimable | Penang Training Provider | Corporate Training Malaysia
Module 1: Prompt Engineering Essentials
What is prompt engineering and why it matters
The CLEAR Principles: Concise, Logical, Explicit, Adaptive, Relevant
Prompt methodologies: Structured prompts, Iterative refinement, Chain of Thought reasoning
Best practices and tips for writing effective prompts for various needs
Module 2: Framing the Right Questions
How to think like a search engine: keywords and intent
Differentiating general queries vs. targeted prompts
Recognizing vague prompts and improving them
Hands-on exercise: Rewriting weak prompts into strong ones
Lunch
Module 3: Precision Search with ChatGPT
Strategies for multi-step queries and refining information
Incorporating constraints: tone, format, audience, length
Using system and user prompts in Custom GPTs
Prompt Lab: Information validation and source cross-checking
Module 4: Applied Prompting for Different Scenarios
Academic and workplace scenarios: research, analysis, and decision support
Content creation and planning with structured templates
Scenario-based exercises: Each participant solves a task using refined prompting
Peer review and instructor feedback
Closing and Q&A Session
Recap of methods and takeaways
Participant sharing: what worked, what to improve
Feedback, resources, and learning pathway suggestions
