DeepSeek Prompt Engineering Training in Copenhagen, Denmark

The DeepSeek Prompt Engineering Training is a hands-on program designed to teach participants how to design, test, and optimize prompts for DeepSeek AI models to achieve accurate, consistent, and reliable outputs across business, technical, and research use cases.

The course focuses on building repeatable prompting strategies, reducing errors and hallucinations, improving output quality, and supporting governance and responsible AI usage.

Introduction to Prompt Engineering

• What is prompt engineering and why it matters

• How LLMs interpret instructions

• Prompting vs traditional programming

• Common prompt failure modes

DeepSeek Prompting Fundamentals

• DeepSeek model behavior basics

• Instruction clarity and specificity

• Context setting and role prompting

• Controlling tone, style, and format

Prompt Structures & Frameworks

• Task + context + constraints framework

• Step-by-step instruction prompts

• Output format specification

• Using checklists in prompts

Few-Shot & Example-Based Prompting

• When to use few-shot prompting

• Designing good examples

• Avoiding example bias

• Scaling few-shot templates

Structured Output & Schema Prompts

• JSON and table output prompts

• Enforcing consistent structure

• Validation and parsing concepts

• Reducing formatting errors

Reducing Hallucinations & Errors

• Grounding prompts with data

• Asking for uncertainty flags

• Cross-checking and verification prompts

• Confidence vs correctness handling

Prompt Testing & Iteration

• A/B testing prompts

• Measuring output quality

• Prompt versioning strategies

• Continuous improvement cycles

Domain-Specific Prompting

• Business and finance prompts

• Government and policy prompts

• Healthcare and research prompts

• Technical and IT prompts

Prompting for Summarization & Extraction

• Long document summarization prompts

• Key point and insight extraction

• Table and field extraction prompts

• Action item and decision extraction

Prompting for Reasoning & Analysis

• Step-by-step reasoning prompts

• Comparison and evaluation prompts

• Scenario and what-if analysis prompts

• Risk and impact analysis prompts

Prompt Libraries & Reuse

• Building organizational prompt libraries

• Naming and categorizing prompts

• Access control and sharing

• Standardization across teams

Prompt Governance & Compliance

• Approved vs restricted prompt use

• Handling sensitive data in prompts

• Auditability and documentation

• Organizational AI usage policies

Hands-on Exercises

Summary and Conclusion