Generative AI
5993 learners
Journey Into Format Control in Prompt Engineering
This course is designed to empower users with the skills needed to command LLMs to produce outputs in specific formats. From bulleted lists to complex JSON objects, learners will learn how to refine prompts that yield structured, format-specific responses. This advanced understanding enhances data manipulation, reporting, and ensures compatibility with broader systems.
JSON
Markdown
See path
5 lessons
15 practices
1 hour
Badge for Task Analysis and Outcome Definition,
Task Analysis and Outcome Definition
Lessons and practices
Lesson 1: Formatting Fundamentals: Crafting Precise Prompts
Always a Bulleted List
Structuring Team Data Effectively
Mastering Prompt Formatting
Lesson 2: Bullets of Clarity: Structuring List Responses in Prompt Engineering
Hydration Benefits in Bullets
Two Layers of Bullets
Hydration's Role in Cognitive Health
Lesson 3: Markdown Headers in Output Formatting
Markdown Headers in Prompt Engineering
Only h2 Headers
Structuring Prompts for Markdown Outputs
Lesson 4: Structured Data Mastery: JSON and YAML Formats in LLM Responses
Crafting JSON User Data Prompts
Customizing YAML User Info Prompt
Advanced YAML prompts
Lesson 5: Executable Code Mastery: Ensuring LLMs Yield Only Runnable Outputs
Customer table query
Crafting an SQL Query
Scraping Weather Data with Python
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