diff --git a/pages/guides/optimizing-prompts.en.mdx b/pages/guides/optimizing-prompts.en.mdx
index f85f688..d1928a1 100644
--- a/pages/guides/optimizing-prompts.en.mdx
+++ b/pages/guides/optimizing-prompts.en.mdx
@@ -36,4 +36,18 @@ This method focuses on eliciting advanced reasoning, planning, and even tool use
 
 ### Conclusion
 
-Effective prompt design is crucial for harnessing the full potential of LLMs. By adhering to best practices like specificity, structured formatting, task decomposition, and leveraging advanced techniques like few-shot, chain-of-thought, and ReAct prompting, developers can significantly improve the quality, accuracy, and complexity of outputs generated by these powerful LLMs.
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+Effective prompt design is crucial for harnessing the full potential of LLMs. By adhering to best practices like specificity, structured formatting, task decomposition, and leveraging advanced techniques like few-shot, chain-of-thought, and ReAct prompting, developers can significantly improve the quality, accuracy, and complexity of outputs generated by these powerful LLMs.
+
+### Want to Learn More?
+
+import { Callout } from 'nextra/components'
+
+<Callout type= "info" emoji="🎉">
+We are excited to launch our brand new course website and releasing our first course on [Introduction to Prompt Engineering](https://dair-ai.thinkific.com/courses/introduction-prompt-engineering). 
+
+Use code PROMPTING20 to get an extra 20% off.
+
+IMPORTANT: The discount is limited to the first 500 students. 
+
+[Join Now](https://dair-ai.thinkific.com/courses/introduction-prompt-engineering)!
+</Callout>
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