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Duration 7 hours
Course Outline
Introduction to Prompt Engineering
- Defining prompt engineering and its importance
- Common use cases and their impact on productivity
- Overview of typical model behaviors
Core Principles of Effective Prompts
- Clarity, context, constraints, and the use of examples
- Managing output length, format, and tone
- Common mistakes and strategies to prevent them
Prompt Patterns and Templates
- Instructional prompts and role-playing prompts
- Chain-of-thought reasoning and step-by-step guidance
- Few-shot learning and reusing templates
Practical Prompting Exercises
- Developing prompts for summarization and text rewriting
- Building prompts for classification and data extraction
- Live iteration: adjusting prompts based on generated outputs
Assessing and Enhancing Prompts
- Metrics and heuristics for measuring prompt effectiveness
- Utilizing tests and edge cases to verify prompt robustness
- Managing versions and documenting prompt modifications
Safety, Bias & Responsible Use
- Identifying and mitigating biased or unsafe outputs
- Implementing basic guardrails and content restrictions
- Determining when human review is necessary
Conclusion, Resources & Future Steps
- Quick reference templates and cheat sheets
- Suggested reading materials and community resources
- Recommendations for ongoing practice and learning pathways
Requirements
- Familiarity with AI chat platforms accessible via the web
- A fundamental grasp of natural language principles
- Comfortable with iterative problem-solving approaches
Target Audience
- Novices seeking to improve communication effectiveness with AI models
- Product managers, content creators, and analysts exploring AI toolsets
- Individuals accountable for creating or assessing AI-generated material
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.
