Course Outline
Fundamentals of Prompt Engineering
- Defining prompt engineering and understanding its critical role
- Exploring typical use cases and their impact on workflow efficiency
- Understanding standard behaviors exhibited by language models
Foundational Principles for Effective Prompts
- Incorporating clarity, context, constraints, and illustrative examples
- Managing output parameters such as length, structure, and tone
- Identifying common errors and strategies to prevent them
Advanced Patterns and Reusable Templates
- Utilizing instruction-driven and role-based prompting techniques
- Implementing chain-of-thought reasoning and sequential prompting
- Applying few-shot learning examples and reusing proven templates
Practical Prompting Applications
- Developing prompts for text summarization and rewriting tasks
- Creating prompts for data classification and extraction workflows
- Real-time refinement: adjusting prompts based on generated results
Assessment and Optimization of Prompts
- Employing metrics and heuristics to gauge prompt effectiveness
- Validating prompts through testing and edge-case analysis
- Managing versions and documenting modifications to prompt logic
Safety, Bias Mitigation & Ethical Usage
- Identifying and addressing biased or unsafe model outputs
- Establishing basic guardrails and content restrictions
- Determining when human oversight is necessary
Conclusion, Resources & Future Directions
- Access to quick-reference guides and summary sheets
- Curated reading lists and community resources for further learning
- Recommendations for ongoing practice and advanced learning pathways
Requirements
- Proficiency in navigating web-based AI chat platforms
- Fundamental grasp of natural language processing concepts
- Ease with iterative problem-solving processes
Target Audience
- Novices aiming to enhance their communication effectiveness with AI models
- Product managers, content specialists, and analysts exploring new AI capabilities
- Professionals accountable for creating or auditing 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.
