Module 1 — Anatomy of an Effective Prompt
The essential building blocks of effective prompt design:
- Role: Defining the expertise or perspective AI should adopt
- Context: Providing relevant background and information
- Task: Clearly defining what the AI is expected to do
- Constraints: Establishing rules, boundaries and requirements
- Output format: Specifying whether the result should be a report, summary, table or another structured format
- Examples: Guiding the model by demonstrating expected outputs
Module 2 — Prompt Engineering Techniques
- Zero-shot prompting
- Few-shot prompting
- Structured prompting
- Prompt chaining for breaking complex tasks into manageable steps
- Iterative prompting for progressively improving results
- Managing context, scope and output requirements
Module 3 — Prompt Engineering Use Cases in Banking
Participants practice prompt design through banking-related business scenarios, including:
- Credit analysis and structuring information
- Analyzing and summarizing risk reports
- Reviewing regulatory and policy documents
- Classifying and analyzing customer complaints
- Preparing internal communications
- Summarizing and simplifying management reports
- Adapting marketing content for different target audiences
Module 4 — Improving Ineffective Prompts
Participants are given examples of incomplete, ambiguous or poorly designed prompts and identify why they fail to produce the expected results.
They redesign these prompts by improving the role, context, task, constraints and output format, and compare different approaches to understand how prompt design affects output quality.
Workshop — “Banking Prompt Library”
Participants create 5–10 reusable professional prompts for their own roles and business functions.
Each prompt is reviewed in terms of task definition, context, constraints and expected output. By the end of the workshop, participants will have created a practical Banking Prompt Library that can be used and further developed in their daily work.
