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Course Outline
Introduction to Prompt Engineering
- Defining prompt engineering and understanding its importance
- Exploring typical use cases and their impact on productivity
- An overview of standard model behaviours
Core Principles of Effective Prompts
- Emphasising clarity, context, constraints, and examples
- Managing output length, format, and tone
- Identifying common pitfalls and strategies to avoid them
Prompt Patterns and Templates
- Utilising instruction-based and role-specific prompts
- Applying chain-of-thought and step-by-step prompting techniques
- Incorporating few-shot examples and reusing templates
Practical Prompting Exercises
- Developing prompts for summarisation and rewriting tasks
- Creating prompts for classification and data extraction
- Live iteration: adjusting prompts based on generated outputs
Evaluating and Enhancing Prompts
- Applying metrics and heuristics to assess prompt quality
- Validating prompts using tests and edge cases
- Versioning and documenting prompt modifications
Safety, Bias, and Responsible Use
- Identifying and mitigating biased or unsafe outputs
- Implementing basic guardrails and content restrictions
- Determining when human review is necessary
Conclusion, Resources, and Next Steps
- Providing quick-reference templates and cheat sheets
- Recommending further reading and community resources
- Offering suggestions for ongoing practice and learning pathways
Requirements
- Experience using web-based AI chat interfaces
- Fundamental understanding of natural language concepts
- Confidence in iterative problem-solving approaches
Target Audience
- Beginners aiming to improve their ability to communicate effectively with AI models
- Product managers, content creators, and analysts looking to explore AI tools
- Professionals responsible for generating or assessing AI-created content
7 Hours
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.