Prompt Engineering: Mastering Effective AI Communication

Course Overview

This intensive 1-day training course teaches you professional techniques for effective communication with AI systems. Learn how to achieve maximum results from Large Language Models (LLMs) like ChatGPT, Claude, and other AI tools through precise prompts.

What You Will Learn

Day 1: Prompt Engineering Compact

• Brief Introduction to AI and LLMs

  • What are Large Language Models?
  • Overview of current AI systems (ChatGPT, Claude, Gemini)
  • Capabilities and key limitations

• Prompt Engineering Fundamentals

  • Anatomy of an effective prompt
  • Basic prompt structures
  • Clear Instructions Writing
  • Properly formulating context and instructions
  • Format specifications and output control

• Basic Prompt Techniques

  • Zero-Shot vs. Few-Shot Prompting
  • Role Prompting (role-based prompts)
  • Constraint Setting (defining constraints)
  • Practical exercises for each approach

• Advanced Prompt Patterns

  • Chain-of-Thought Prompting (step-by-step reasoning)
  • Tree-of-Thought approaches
  • Self-Consistency methods
  • ReAct Framework (Reasoning + Acting)
  • Prompt Chaining for complex tasks

• Prompt Optimization

  • Iterative prompt improvement
  • Error handling and edge cases
  • A/B-Testing of prompts
  • Ethical considerations and bias avoidance

• Practical Workshop and Use Cases

  • Code generation and debugging
  • Content creation and copywriting
  • Data analysis and transformation
  • Building a personal prompt library
  • Best practices and tips from practice

Prerequisites

• Basic computer and internet skills
• Initial experience with AI tools advantageous (but not required)
• Curiosity and willingness to experiment
• No programming knowledge required

Course Format

• Duration: 1 full day (8 hours)
• Format: Instructor-led training with many practical exercises
• Class Size: Maximum 15 participants for intensive support
• Materials: Comprehensive prompt library and best-practice guide included

Hands-on Exercises

During the course, you will work on practical projects:

1. Development of role-specific prompts for various scenarios
2. Application of Chain-of-Thought for complex problem solving
3. Creation of Few-Shot examples for consistent outputs
4. Building a content generator with optimized prompts
5. Design and testing of different prompt variants
6. Development of a personal prompt library

Tools and Platforms Used

In the course, we work with:

• ChatGPT (OpenAI)
• Claude (Anthropic)
• Various Open-Source LLMs
• Prompt testing platforms
• API Playgrounds

Who Should Attend

• Content creators and marketing professionals
• Developers who want to integrate AI into their workflows
• Product managers and business analysts
• Researchers and academics
• Entrepreneurs and consultants
• Anyone who wants to work professionally with AI systems

Learning Objectives

At the end of this course, you will be able to:

• ✅ Formulate structured and effective prompts
• ✅ Apply advanced prompt techniques
• ✅ Optimally use AI tools for various tasks
• ✅ Systematically evaluate and improve prompt quality
• ✅ Consider ethical aspects when using AI
• ✅ Develop and document your own prompt workflows
• ✅ Integrate AI APIs into existing processes

Course Materials

All participants receive:

• Compact Prompt Engineering handbook
• Curated prompt library
• Template collection for various use cases
• Cheat sheet for quick reference
• Digital certificate of completion
• 14 days post-course email support