Course Outline
Overview of Prompt Engineering Fundamentals
- Definition of prompt engineering and its strategic importance
- Key operational applications and effects on efficiency
- Survey of standard model responses and behaviors
Fundamental Practices for Effective Prompt Design
- Establishing clarity, context, constraints, and illustrative examples
- Regulating output length, structural format, and tone
- Identifying common errors and strategies for prevention
Standardized Prompt Patterns and Templates
- Direct instruction formats and role-specific assignments
- Logical deduction methods and sequential guidance techniques
- Utilizing limited examples and reusing structured templates
Practical Application Exercises
- Developing prompts for text summarization and revision tasks
- Constructing prompts for data classification and extraction processes
- Real-time refinement of prompts based on generated results
Assessment and Optimization of Prompts
- Quality assurance metrics and evaluation heuristics
- Employing test scenarios and edge cases for validation
- Implementing version control and documentation protocols
Security, Bias Mitigation & Ethical Standards
- Detection and reduction of biased or hazardous content outputs
- Implementation of operational guardrails and content limits
- Criteria for initiating human oversight procedures
Conclusion, Reference Materials & Actionable Items
- Access to quick-reference guides and standard templates
- Curated reading lists and relevant professional communities
- Guidance for ongoing skill development and training pathways
Requirements
- Proficiency in navigating web-based artificial intelligence chat platforms
- Fundamental knowledge of natural language processing principles
- Aptitude for iterative analytical problem-solving
Audience
- Novices seeking to enhance their communication strategies with artificial intelligence systems
- Product managers, content specialists, and analysts evaluating AI-enabled technologies for federal operations
- Personnel tasked with the creation or quality assurance of AI-generated documentation for government purposes
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.