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Duration 7 hours
Course Outline
Overview of Prompt Engineering
- Defining prompt engineering and its importance
- Common use cases and their impact on productivity
- Understanding typical behaviors of language models
Fundamental Principles of Effective Prompting
- The role of clarity, context, constraints, and examples
- Managing output length, structure, and tone
- Identifying common mistakes and strategies to avoid them
Prompt Patterns and Templates
- Instruction-driven prompts and role-based assignments
- Chain-of-thought reasoning and step-by-step guidance
- Few-shot learning and the reuse of templates
Practical Prompting Exercises
- Creating prompts for text summarization and rewriting
- Developing prompts for data classification and extraction
- Live refinement: adjusting prompts based on resulting outputs
Assessing and Enhancing Prompts
- Metrics and heuristics for evaluating prompt effectiveness
- Utilizing tests and edge cases to verify prompt robustness
- Managing version control and documenting prompt evolution
Safety, Bias, and Responsible Usage
- Detecting and mitigating biased or unsafe content generation
- Implementing basic guardrails and content restrictions
- Determining when human oversight is required
Conclusion, Resources, and Future Steps
- Access to quick-reference templates and cheat sheets
- Curated reading materials and community resources
- Recommendations for ongoing practice and advanced learning paths
Requirements
- Experience with web-based AI chat interfaces
- A foundational grasp of natural language concepts
- An affinity for iterative problem-solving processes
Target Audience
- Novices seeking to learn how to interact effectively with AI models
- Product managers, content creators, and analysts integrating AI tools into their workflows
- Individuals accountable for generating or assessing AI-produced 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.