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Duration 7 hours
Course Outline
Introduction to Prompt Engineering
- Defining prompt engineering and its importance.
- Common use cases and their effect on productivity.
- An overview of typical model behaviours.
Key Principles for Effective Prompts
- Ensuring clarity, providing context, setting constraints, and using examples.
- Managing output length, format, and tone.
- Identifying common mistakes and strategies to prevent them.
Prompt Patterns and Templates
- Instructional prompts and role-playing scenarios.
- Chain-of-thought and step-by-step reasoning techniques.
- Few-shot learning and reusing established templates.
Practical Prompting Exercises
- Developing prompts for summarizing and rewriting text.
- Constructing prompts for data classification and extraction.
- Live refinement: adjusting prompts based on generated results.
Assessing and Optimizing Prompts
- Using metrics and heuristics to judge prompt quality.
- Validating prompts through testing and edge-case scenarios.
- Versioning and recording prompt modifications.
Safety, Bias & Responsible Usage
- Identifying and reducing biased or unsafe outputs.
- Implementing basic guardrails and content restrictions.
- Determining when human oversight is necessary.
Conclusion, Resources & Future Learning
- Essential reference templates and quick guides.
- Suggested reading materials and community platforms.
- Recommendations for ongoing practice and career progression.
Requirements
- Basic experience with web-based AI chat interfaces.
- Foundational understanding of natural language concepts.
- Familiarity with iterative problem-solving approaches.
Audience
- Individuals new to the field seeking to interact effectively with AI models.
- Product managers, content creators, and analysts investigating AI tools.
- Professionals tasked with creating or assessing AI-generated material.
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.
