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Duration 7 hours
Course Outline
Fundamentals of Prompt Engineering
- Defining prompt engineering and its critical importance
- Exploring common use cases and their impact on workflow efficiency
- Understanding typical behavioral patterns of language models
Key Principles for Effective Prompting
- Leveraging clarity, context, constraints, and illustrative examples
- Managing output length, structure, and tonal style
- Identifying frequent mistakes and strategies to avoid them
Standard Prompt Patterns and Templates
- Implementing instruction-based and role-specific prompts
- Utilizing chain-of-thought reasoning and sequential prompting techniques
- Incorporating few-shot examples and reusing effective templates
Practical Prompting Workshops
- Developing prompts for text summarization and rewriting tasks
- Constructing prompts for data classification and extraction challenges
- Real-time refinement: adjusting prompts based on model feedback
Assessing and Optimizing Prompts
- Applying metrics and heuristics to measure prompt effectiveness
- Validating prompts through testing and edge-case analysis
- Managing version control and documenting prompt evolution
Safety, Bias, and Ethical Usage
- Detecting and addressing biased or inappropriate outputs
- Establishing basic guardrails and content restrictions
- Determining when human oversight is necessary
Conclusion, Resources, and Future Directions
- Access to quick-reference templates and summary guides
- Curated reading materials and community platforms for further learning
- Recommendations for ongoing practice and advanced learning trajectories
Requirements
- Basic familiarity with web-based AI chat platforms
- Fundamental grasp of natural language processing concepts
- Willingness to engage in iterative problem-solving processes
Target Audience
- Individuals new to AI who wish to master effective communication with models
- Product managers, content specialists, and analysts seeking to leverage AI tools
- Professionals tasked with generating or vetting 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.
