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Duration 7 hours
Course Outline
Introduction to Prompt Engineering
- Defining prompt engineering and explaining its importance.
- Exploring typical use cases and their impact on productivity.
- An overview of standard model behaviors.
Core Principles for Effective Prompts
- Integrating clarity, context, constraints, and examples.
- Managing output length, structure, and tone.
- Identifying common pitfalls and strategies to avoid them.
Prompt Patterns and Templates
- Using instruction-based prompts and role-playing scenarios.
- Applying chain-of-thought and step-by-step reasoning techniques.
- Leveraging few-shot examples and reusable templates.
Practical Prompting Exercises
- Creating prompts for summarizing and rewriting text.
- Designing prompts for classification tasks and data extraction.
- Real-time iteration: adjusting prompts based on model outputs.
Evaluating and Enhancing Prompts
- Utilizing metrics and heuristics to gauge prompt quality.
- Validating prompts through testing and edge-case scenarios.
- Implementing version control and documentation for prompt changes.
Safety, Bias & Responsible Usage
- Detecting and mitigating biased or unsafe content.
- Establishing basic guardrails and content restrictions.
- Determining when human review is necessary.
Conclusion, Resources & Future Steps
- Access to quick-reference templates and cheat sheets.
- Curated reading lists and community resources.
- Recommendations for ongoing practice and advanced learning paths.
Requirements
- Basic familiarity with web-based AI chat interfaces.
- Foundational understanding of natural language concepts.
- Willingness to engage in iterative problem-solving.
Target Audience
- Individuals new to AI who aim to communicate effectively with language models.
- Product managers, content creators, and analysts looking to leverage AI tools.
- 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.