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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 behaviors
Key Principles for Effective Prompts
- Clarity, context, constraints, and illustrative examples
- Managing output length, format, and tone
- Identifying common pitfalls and strategies to avoid them
Prompt Patterns and Templates
- Instruction-driven prompts and role assignment
- Chain-of-thought reasoning and step-by-step structuring
- Few-shot learning and template reusability
Practical Prompting Activities
- Developing prompts for text summarization and rewriting
- Creating prompts for data classification and extraction
- Live iteration: Adjusting prompts based on model outputs
Assessing and Refining Prompts
- Metrics and heuristics for evaluating prompt quality
- Utilizing tests and edge cases for validation
- Version control and documentation of prompt changes
Safety, Bias, and Responsible Usage
- Identifying and mitigating biased or unsafe outputs
- Implementing basic guardrails and content restrictions
- Determining when human oversight is required
Conclusion, Resources, and Future Directions
- Concise reference templates and quick guides
- Curated reading materials and community resources
- Recommendations for ongoing practice and learning trajectories
Requirements
- Proficiency with web-based AI chat platforms
- A foundational grasp of natural language principles
- Ease with iterative problem-solving approaches
Target Audience
- Novices seeking to interact effectively with AI models
- Product managers, content specialists, and analysts investigating AI solutions
- Professionals tasked with 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.