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Duration 7 hours
Course Outline
Basics of Prompt Engineering
- Defining prompt engineering and understanding its importance
- Exploring common use cases and their effect on productivity
- Understanding typical behaviors of language models
Key Elements of High-Quality Prompts
- Incorporating clarity, context, constraints, and examples
- Managing output length, structure, and tone
- Identifying frequent errors and strategies to prevent them
Established Prompt Patterns and Templates
- Utilizing instruction-based and role-specific prompts
- Implementing chain-of-thought and step-by-step methodologies
- Leveraging few-shot examples and reusing templates
Practical Prompting Activities
- Developing prompts for summarization and text rewriting
- Creating prompts for data classification and 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 using test cases and edge scenarios
- Tracking versions and documenting modifications to prompts
Safety, Bias, and Ethical Use
- Detecting and reducing biased or unsafe outputs
- Implementing basic safeguards and content restrictions
- Determining when human oversight is required
Conclusion, Resources, and Future Pathways
- Providing quick-reference templates and summary sheets
- Suggesting relevant reading materials and community resources
- Offering recommendations for ongoing practice and learning trajectories
Requirements
- Proficiency with web-based AI chat interfaces
- Fundamental grasp of natural language principles
- Adaptability to iterative problem-solving methods
Target Audience
- Individuals seeking to learn how to interact effectively with AI models
- Product managers, content creators, and analysts looking to explore 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.
