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Prompt Engineering Frameworks & Methodologies · Program
About this program
Prompt Engineering Frameworks & Methodologies
Online Course
Learning format
Prompt Engineering
Subcategory
English
Course language
$19.99 (list $9.99)
Price
Price may change · updated within 1–2 weeks
Official program page
What you'll learn in Prompt Engineering Frameworks & Methodologies
- Discover the core principles of prompt engineering and why structured prompting leads to more consistent LLM outputs
- Explore best practices and reusable templates that simplify prompt creation across use cases
- Master foundational prompting frameworks like Chain-of-Thought, Step-Back, Role Prompting, and Self-Consistency.
- Apply advanced strategies such as Chain-of-Density, Tree-of-Thought, and Program-of-Thought to handle complex reasoning and summarization tasks.
- Design effective prompts that align with different task types—classification, generation, summarization, extraction, etc.
- Tune hyperparameters like temperature, top-p, and frequency penalties to refine output style, diversity, and length.
- Control model responses using max tokens and stop sequences to ensure outputs are task-appropriate and bounded.
- Implement prompt tuning workflows to improve model performance without retraining the base model.
- Evaluate prompt effectiveness using structured metrics and tools like PromptFoo for A/B testing and performance benchmarking.
What's Included in Prompt Engineering Frameworks & Methodologies
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