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Duration 7 hours
Course Outline
- Block 1: Foundations and Techniques
- Introduction and Assessment
- Live survey to gauge current knowledge levels
- Tasks brought by the group
- Exploring model behavior during prompting, including context windows and the generation of invented details
- Exercise: Each participant presents a personal task to be addressed during the workshop.
- Components of an Effective Prompt
- Incorporating role, task, context, examples, format, and constraints
- Live comparison of weak versus strong prompts
- Defining audience, tone, and providing one or two relevant examples
- Adjusting language and proficiency level, such as plain language or B1 level
- Exercise: Refine a prompt for a real group task through three iterative rounds.
- Task Decomposition and Improvement
- Developing a plan first, then executing it
- Correctly utilizing reasoning models
- Facilitating clarifying questions and error identification
- Using templates with placeholders and generating tabular output
- Exercise: Break down a multi-step task into discrete steps and save it as a template.
- Outcome: Each participant possesses at least one verified template for their individual work.
- Introduction and Assessment
- Block 2: Sustainable and Safe Practice, Hands-on Workshop
- Long-Term Prompting Strategies
- Distinguishing levels of chat, instructions, memory, projects, skills, and agents
- Establishing persistent personal instructions
- Creating team projects with style guides or response templates
- Building custom assistants as skills, custom GPTs, or Gems
- Exercise: Set up a shared project with standing instructions for a standard group task.
- Utilizing Tools
- Querying and comparing data in Excel, PDF, and Word
- Processing scans and screenshots
- Formulating research queries and verifying sources
- Using dictation as an alternative to typing
- Exercise: Have a table or document from the participants' area analyzed.
- Safe Usage Practices
- Identifying invented details and requesting supporting evidence
- Calculating figures using formulas or analysis tools
- Determining appropriate data for each model and anonymizing cases
- Detecting hidden instructions in emails and PDFs
- Exercise: Systematically verify an AI result and document any errors.
- Hands-on Workshop
- Group rooms focusing on two to three real tasks from their specific area
- Facilitator support for the group rooms
- Compilation of the group's prompt library
- Exercise: Work through two tasks from the own group to a completed result during the workshop.
- Outcome: Each group compiles a shared prompt library, a common project, and two resolved tasks from actual daily operations.
- Long-Term Prompting Strategies
Requirements
- Access to the company-approved AI tool (Claude, ChatGPT, Copilot, or Gemini), submission of up to five use cases per group in advance, and provision of anonymized sample documents.
- Programming skills are not required.
Target Audience
- Teams in case processing, specialized departments, research, or IT support who have initial experience with AI and aim to achieve better results in their specific tasks.
Testimonials (3)
Comprehensiveness about the backround; how to do a prompt.
Olaf Kannt - Helios Klinikum Krefeld
Course - Generative AI and Prompt Engineering in Healthcare
the tips and recommended prompts that we can take away from this training
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Course - InVideo AI: Creating Engaging Short-Form Videos
use of proper and effective prompt
