Update training-plan_domain.md

doc/CourseFolder/training-plan_domain.md

@@ -12,14 +12,13 @@ This tutorial consists of the courses and workshops about ML/AI for the users wh
 
   **Abstract:** Our short course, is specifically designed to provide an overview of the key machine learning concepts and their use cases in genomic analysis. The course begins with an introduction to the main concepts of machine learning technologies, including supervised learning, unsupervised learning, and reinforcement learning, providing participants with a basic understanding of how these technologies work. Next, the course will introduce various genomic analysis methods that can potentially benefit from machine learning technologies.
 
+   **Audience**:
+    Biologists interested in machine learning applications in genomics.
+  
   **Learning outcomes**
     -  Gain a basic understanding of machine learning methods and their applications in genomic analysis.
     -  Understand the current challenges and risks of using machine-learning-based tools in genomic analysis.
 
-  
-  **Audience**:
-    Biologists interested in machine learning applications in genomics.
-
   ```
 
   - Natural Language Processing