Course Outline
Foundations of Prompt Engineering
- Defining prompt engineering and its importance
- Common use cases and their effect on productivity
- Insights into typical model behaviors
Key Principles for High-Quality Prompts
- Incorporating clarity, context, constraints, and examples
- Managing output length, structure, and tone
- Identifying common errors and strategies to prevent them
Advanced Prompt Patterns and Templates
- Instruction-based and role-playing prompts
- Chain-of-thought reasoning and sequential prompting
- Few-shot learning and efficient template reuse
Practical Prompting Workshops
- Developing prompts for text summarization and rewriting
- Structuring prompts for data classification and extraction
- Real-time iteration: adjusting prompts based on generated results
Assessing and Optimizing Prompt Performance
- Using metrics and heuristics to gauge prompt effectiveness
- Validating prompts through testing and edge-case analysis
- Documenting and versioning prompt modifications
Ethics, Bias & Responsible AI Usage
- Detecting and addressing biased or harmful outputs
- Implementing basic safety guardrails and content restrictions
- Determining when human oversight is necessary
Conclusion, Resources & Future Learning
- Access to quick-reference guides and template collections
- Curated reading materials and community connections
- Recommendations for ongoing practice and advanced learning paths
Requirements
- Basic experience with web-based AI chat interfaces
- Fundamental grasp of natural language processing concepts
- Readiness for iterative problem-solving processes
Target Audience
- Individuals new to the field who wish to learn effective communication with AI models
- Product managers, content specialists, and analysts looking to integrate AI tools into their workflow
- Professionals responsible for creating or assessing AI-generated content
Testimonials (2)
The interactive style, the exercises
Tamas Tutuntzisz
Course - Introduction to Prompt Engineering
Since we had a Roche internal AI Training (6 lections), the presented majority content was a good sum-up, however, personally I did learn something new in this training session, which was to counter back the prompt, so the AI program has to ask you about possible questions regarding to this specific topic.
