diff --git a/contributions/presentation/week4/jmaragna/README.md b/contributions/presentation/week4/jmaragna/README.md
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-# Assignment Proposal
-
-## Title
-
-_CRISP-ML(Q). The End-to-End Machine Learning Workflow_
-
-## Names and KTH ID
-
-  - Jacopo Maragna (jmaragna@kth.se)
-
-## Deadline
-
-- Week 4
-
-## Category
-
-- Scientific paper
-
-## Description
-
-The purpose of this scientific paper presentation is to guide the audience through the various phases of the machine learning workflow, as outlined in the paper ["Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology"](https://www.mdpi.com/2504-4990/3/2/20)
-
-**Relevance**
-
-The topics covered are particularly relevant to DevOps, especially MLOps, as they address the state-of-the-art in fully automated pipelines that handle model training, deployment to production, and performance monitoring.
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diff --git a/contributions/presentation/week5/README.md b/contributions/presentation/week5/README.md
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-# Assignment Proposal
-
-## Title
-
-_AWS Cloud Development Kit - Define your cloud application resources using familiar programming languages_
-
-## Names and KTH ID
-
-  - Jacopo Maragna (jmaragna@kth.se)
-  - Jakub Rybak (jrybak@kth.se)
-
-## Deadline
-
-- Week 5
-
-## Category
-
-- Presentation
-
-## Description
-
-We will demonstrate how the AWS Cloud Development Kit (AWS CDK) accelerates cloud development by enabling you to model your applications using familiar programming languages. Additionally, we will provide technical examples to help you get started and successfully implement these concepts.
-
-**Relevance**
-
-The topics covered are especially relevant to DevOps, as they enable managing infrastructure as code. This approach allows for version control and continuous deployment of changes to the target environment, leveraging AWS CloudFormation as the deployment engine.
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+# Week 5
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diff --git a/contributions/presentation/week5/jmaragna-jrybak/README.md b/contributions/presentation/week5/jmaragna-jrybak/README.md
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+# Assignment Proposal
+
+## Title
+
+_AWS Cloud Development Kit - Define your cloud application resources using familiar programming languages_
+
+## Names and KTH ID
+
+  - Jacopo Maragna (jmaragna@kth.se)
+  - Jakub Rybak (jrybak@kth.se)
+
+## Deadline
+
+- Week 5
+
+## Category
+
+- Presentation
+
+## Description
+
+We will demonstrate how the AWS Cloud Development Kit (AWS CDK) accelerates cloud development by enabling you to model your applications using familiar programming languages. Additionally, we will provide technical examples to help you get started and successfully implement these concepts.
+
+**Relevance**
+
+The topics covered are especially relevant to DevOps, as they enable managing infrastructure as code. This approach allows for version control and continuous deployment of changes to the target environment, leveraging AWS CloudFormation as the deployment engine.
\ No newline at end of file