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Duration 7 hours
Course Outline
Foundations of Prompt Engineering
- Defining prompt engineering and its importance
- Common use cases and their impact on productivity
- Understanding typical behaviors of large language models
Key Principles for Effective Prompting
- Incorporating clarity, context, constraints, and examples
- Managing output length, format, and tone
- Identifying common mistakes and strategies to avoid them
Prompt Patterns and Templates
- Using instruction-based prompts and role-playing techniques
- Applying chain-of-thought and step-by-step reasoning methods
- Utilizing few-shot examples and reusing established templates
Practical Prompting Exercises
- Building prompts for text summarization and rewriting
- Crafting prompts for classification and data extraction tasks
- Real-time iteration: adjusting prompts based on generated results
Assessing and Refining Prompts
- Applying metrics and heuristics to measure prompt quality
- Validating prompts using tests and edge cases
- Managing versions and documenting prompt modifications
Safety, Bias, and Responsible Usage
- Identifying and addressing biased or harmful outputs
- Implementing basic guardrails and content restrictions
- Determining when human oversight is required
Conclusion, Resources, and Future Directions
- Providing quick-reference templates and summary guides
- Curating recommended reading materials and community resources
- Offering suggestions for ongoing practice and learning pathways
Requirements
- Experience using web-based AI chat platforms
- A foundational grasp of natural language concepts
- A willingness to engage in iterative problem-solving
Who This Is For
- Novices looking to learn how to interact effectively with AI models
- Product managers, content creators, and analysts investigating AI tools
- Professionals responsible for generating or assessing AI-produced 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.
