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Course Outline
Introduction to Prompt Engineering
- Understanding what prompt engineering is and its importance
- Common use cases and its impact on productivity
- Overview of typical model behaviours
Core Principles of Effective Prompts
- The importance of clarity, context, constraints, and examples
- Controlling output length, format, and style
- Common pitfalls and strategies to avoid them
Prompt Patterns and Templates
- Instruction-based prompts and role-based prompts
- Chain-of-thought and step-by-step prompting techniques
- Few-shot examples and template reuse strategies
Hands-on Prompting Exercises
- Crafting prompts for summarisation and rewriting tasks
- Designing prompts for classification and data extraction
- Live iteration: refining prompts based on immediate outputs
Evaluating and Improving Prompts
- Metrics and heuristics for assessing prompt quality
- Using tests and edge cases to validate prompts
- Versioning and documenting prompt changes
Safety, Bias & Responsible Use
- Recognising and mitigating biased or unsafe outputs
- Basic guardrails and content constraints
- When to involve human review
Wrap-up, Resources & Next Steps
- Quick reference templates and cheat sheets
- Recommended reading and community resources
- Suggestions for continued practice and learning paths
Requirements
- Familiarity with web-based AI chat platforms
- Basic grasp of natural language concepts
- Comfort with iterative problem-solving approaches
Target Audience
- Beginners seeking to learn effective communication strategies with AI models
- Product managers, content creators, and analysts exploring AI tools
- Anyone tasked with generating or assessing AI-produced 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.