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Duration 7 hours
Course Outline
Overview of Prompt Engineering
- Defining prompt engineering and its strategic importance.
- Common use cases and their effect on productivity.
- A general look at typical behaviors of language models.
Fundamentals of High-Quality Prompts
- Balancing clarity, context, constraints, and illustrative examples.
- Managing output length, structure, and tone.
- Identifying frequent errors and strategies to prevent them.
Patterns and Templates for Prompts
- Utilizing instruction-driven prompts and role-based assignments.
- Implementing chain-of-thought and sequential prompting techniques.
- Employing few-shot examples and reusing proven templates.
Practical Prompting Activities
- Developing prompts for text summarization and editing.
- Creating prompts for categorization and data extraction tasks.
- Real-time refinement: adjusting prompts based on generated results.
Assessment and Optimization of Prompts
- Applying metrics and heuristics to gauge prompt effectiveness.
- Validating prompts through testing and edge-case scenarios.
- Managing versions and documenting prompt modifications.
Safety, Bias & Ethical Use
- Detecting and addressing biased or unsafe outputs.
- Establishing basic safeguards and content limitations.
- Determining when human oversight is necessary.
Conclusion, Resources & Future Steps
- Accessible reference guides and quick tips.
- Curated reading lists and community platforms.
- Guidance on ongoing practice and advanced learning tracks.
Requirements
- Basic experience with web-based AI conversational interfaces.
- A fundamental grasp of natural language concepts.
- An approachable mindset toward iterative problem-solving.
Target Audience
- Individuals new to the field who aim to interact effectively with AI models.
- Professionals such as product managers, content creators, and analysts exploring AI capabilities.
- Stakeholders responsible for generating or reviewing AI-generated materials.
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.
