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 ## What will this course teach you?
 
-Welcome to the MLOPS Coding Course designed to bring your AI/ML programming level from basic notebooks to production-grade codebase. Throughout this journey, you will learn:
+Welcome to the MLOps Coding Course designed to bring your AI/ML programming level from basic notebooks to production-grade codebase. Throughout this journey, you will learn:
 
 - How to build and deploy production ready software artifacts.
 - Transitioning from prototyping in notebooks to structured Python packages.
-- Enhancing code reliability and maintanability through linting and testing.
+- Enhancing code reliability and maintainability through linting and testing.
 - Streamlining repetitive tasks using automation, locally and through CI/CD pipelines.
 - Adopting best practices to develop versatile and resilient AI/ML codebases.
 
-## Is there a fee for this course?
-
-We offer this course at no cost, under the [Creative Commons Attribution 4.0 International license](https://creativecommons.org/licenses/by/4.0/deed.en). This means you can adapt, share, and even use the content for commercial purposes, provided you attribute the original authors.
-
-Additionally, for those seeking a deeper understanding, we provide extra support options, including [personal mentoring sessions](./0.4. Mentoring.md) and access to [online assistance](./0.5. Assistants.md).
-
 ## Why enroll in this course?
 
 The intersection of AI and ML with software applications is becoming increasingly complex, requiring management of models, datasets, and code. This course aims to bridge the knowledge gap between software engineers and data scientists, empowering you to efficiently navigate and manage AI/ML projects.
 
 A key focus is the shift from using notebooks for production, which often lack rigorous software development practices, to a structured codebase. This transition is crucial for tackling production challenges, fostering better collaboration, and advancing your MLOps capabilities.
 
+## Is there a fee for this course?
+
+We offer this course at no cost, under the [Creative Commons Attribution 4.0 International license](https://creativecommons.org/licenses/by/4.0/deed.en). This means you can adapt, share, and even use the content for commercial purposes, provided you attribute the original authors.
+
+Additionally, for those seeking a deeper understanding, we provide extra support options, including [personal mentoring sessions](./0.4. Mentoring.md) and access to [online assistance](./0.5. Assistants.md).
+
 ## What should you know before starting?
 
 To get the most out of this course, you should have:

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