Add LLM and ML engineering books to README

README.md

@@ -228,22 +228,28 @@ And finally, here are some other examples and use cases for inspiration:
 5. [LLMops](https://github.com/zenml-io/zenml-projects/tree/main/llm-complete-guide): Complete guide to do LLM with ZenML
 
 
+## 📚 Learn from Books
+
+<div align="center">
+  <a href="https://www.amazon.com/LLM-Engineers-Handbook-engineering-production/dp/1836200072">
+    <img src="docs/book/.gitbook/assets/llm_engineering_handbook_cover.jpg" alt="LLM Engineer's Handbook Cover" width="200"/></img>
+  </a>&nbsp;&nbsp;&nbsp;&nbsp;
+  <a href="https://www.amazon.com/-/en/Andrew-McMahon/dp/1837631964">
+    <img src="docs/book/.gitbook/assets/ml_engineering_with_python.jpg" alt="Machine Learning Engineering with Python Cover" width="200"/></img>
+  </a>
+  </br></br>
+</div>
+
+ZenML is featured in these comprehensive guides to modern MLOps and LLM engineering. Learn how to build production-ready machine learning systems with real-world examples and best practices.
+
 ## 🔋 Deploy ZenML
 
 For full functionality ZenML should be deployed on the cloud to
 enable collaborative features as the central MLOps interface for teams.
 
-Currently, there are two main ways to deploy ZenML:
-
-- **ZenML Pro**: [ZenML Pro](cloud.zenml.io/?utm_source=readme&utm_medium=referral_link&utm_campaign=cloud_promotion&utm_content=signup_link),
-offers a SaaS version which comes with a control plane to create and manage multiple ZenML servers.
-These servers are managed and maintained by ZenML’s dedicated team, alleviating
-the burden of server management from your end. They also come with additional features like RBAC, a Model Control Plane
-and [much more](https://zenml-io.gitbook.io/zenml-documentation/getting-started/zenml-pro.
-- **Self-hosted deployment**: Alternatively, you have the flexibility to [deploy
-ZenML on your own self-hosted environment](https://docs.zenml.io/getting-started/deploying-zenml#deploying-a-zenml-server).
-This can be achieved through various methods, including using our CLI, Docker,
-Helm, or HuggingFace Spaces.
+Read more about various deployment options [here](https://docs.zenml.io/getting-started/deploying-zenml).
+
+Or, sign up for [ZenML Pro to get a fully managed server on a free trial](https://cloud.zenml.io/?utm_source=readme&utm_medium=referral_link&utm_campaign=cloud_promotion&utm_content=signup_link).
 
 ## Use ZenML with VS Code