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@@ -7,7 +7,17 @@ The ML workflow is a structured approach that guides professionals and researche
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 ## Learning Objectives
 
-* coming soon.
+* Understand the ML workflow and gain insights into the structured approach and stages involved in developing, deploying, and maintaining machine learning models.
+   
+* Learn about the unique challenges and distinctions between workflows for general machine learning and embedded AI.
+
+* Appreciate the various roles involved in ML projects and understand their respective responsibilities and significance.
+
+* Understanding the importance, applications, and the considerations for implementing ML models in resource-constrained environments.
+
+* Gain awareness about the ethical and legal aspects that need to be considered and adhered to in ML and embedded AI projects.
+
+* Establish a basic understanding of ML workflows and roles to be well-prepared for deeper exploration in the following chapters.
 
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