added new academy for page

developers/academy/js/standalone/client-server/index.md

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+---
+title: The client-server architecture
+sidebar_position: 10
+---
+
+## <i class="fa-solid fa-chalkboard-user"></i> Unit overview
+
+<!-- import ReactPlayer from 'react-player/lazy'
+
+<ReactPlayer url='https://youtu.be/FU7l5pr2FmU' controls='true'/>
+<br/> -->
+
+<!-- :::warning TODO
+Intro video here
+::: -->
+
+<!-- Provide context for this course, in addition to the concrete learning goals and outcomes. Why would someone want to do this unit? -->
+
+Why do we need this!
+
+### <i class="fa-solid fa-clipboard-list-check"></i> Prerequisites
+
+- A Typescript environment with `weaviate-client` installed.
+- Familiarity with Weaviate's search capabilities.
+- Intermediate coding proficiency (e.g. Javascript).
+
+
+## <i class="fa-solid fa-chalkboard-user"></i> Learning objectives
+
+import LearningGoalsExp from '/src/components/Academy/learningGoalsExp.mdx';
+
+<LearningGoalsExp />
+
+import LearningGoals from '/src/components/Academy/learningGoals.jsx';
+
+<LearningGoals unitName="which_search"/>
+
+## Questions and feedback
+
+import DocsFeedback from '/_includes/docs-feedback.mdx';
+
+<DocsFeedback/>

developers/academy/js/standalone/index.md

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+---
+title: Short units
+sidebar_position: 900
+---
+
+import LearningGoals from '/src/components/Academy/learningGoals.jsx';
+import CourseUnits from '/src/components/Academy/courseUnits.jsx';
+import { courseData } from '/src/components/Academy/courseData.js'
+
+## <i class="fa-solid fa-chalkboard-user"></i> Overview
+
+This section hosts short, standalone units that you can read independently of any other topics.
+
+## <i class="fa-solid fa-book-open-reader"></i> Units
+
+<CourseUnits courseData={courseData} courseName="standalone" />

developers/academy/js/standalone/ml-models/index.md

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+---
+title: Picking machine learning models
+sidebar_position: 10
+---
+
+## <i class="fa-solid fa-chalkboard-user"></i> Unit overview
+
+<!-- import ReactPlayer from 'react-player/lazy'
+
+<ReactPlayer url='https://youtu.be/FU7l5pr2FmU' controls='true'/>
+<br/> -->
+
+<!-- :::warning TODO
+Intro video here
+::: -->
+
+<!-- Provide context for this course, in addition to the concrete learning goals and outcomes. Why would someone want to do this unit? -->
+
+ML Models! 
+
+### <i class="fa-solid fa-clipboard-list-check"></i> Prerequisites
+
+- A Python (3) environment with `weaviate-client` installed.
+- Familiarity with Weaviate's search capabilities.
+- Intermediate coding proficiency (e.g. Typescript)
+
+## <i class="fa-solid fa-chalkboard-user"></i> Learning objectives
+
+import LearningGoalsExp from '/src/components/Academy/learningGoalsExp.mdx';
+
+<LearningGoalsExp />
+
+import LearningGoals from '/src/components/Academy/learningGoals.jsx';
+
+<LearningGoals unitName="which_search"/>
+
+## Questions and feedback
+
+import DocsFeedback from '/_includes/docs-feedback.mdx';
+
+<DocsFeedback/>

developers/academy/js/standalone/which-search/index.md

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+---
+title: Which search is right for me?
+sidebar_position: 10
+---
+
+## <i class="fa-solid fa-chalkboard-user"></i> Unit overview
+
+<!-- import ReactPlayer from 'react-player/lazy'
+
+<ReactPlayer url='https://youtu.be/FU7l5pr2FmU' controls='true'/>
+<br/> -->
+
+<!-- :::warning TODO
+Intro video here
+::: -->
+
+<!-- Provide context for this course, in addition to the concrete learning goals and outcomes. Why would someone want to do this unit? -->
+
+Weaviate offers three distinct search methods - namely **vector**, **keyword**, and **hybrid** searches.
+
+Each method has its unique strengths and applicabilities, making the selection critical to the success of your search-related tasks.
+
+This section compares these search types to equip you with the knowledge to intuit when and why to employ each of these search methodologies.
+
+We will explore how the choice of search type impacts not only the quality of the search results but also the overall performance of the search operation.
+
+Then, we will also discuss strategies to improve the quality of search results, as well as the performance of the search operation.
+
+
+### <i class="fa-solid fa-clipboard-list-check"></i> Prerequisites
+
+- A Typescript environment with `weaviate-client` installed.
+- Familiarity with Weaviate's search capabilities.
+- Intermediate coding proficiency (e.g. Javascript).
+
+## <i class="fa-solid fa-chalkboard-user"></i> Learning objectives
+
+import LearningGoalsExp from '/src/components/Academy/learningGoalsExp.mdx';
+
+<LearningGoalsExp />
+
+import LearningGoals from '/src/components/Academy/learningGoals.jsx';
+
+<LearningGoals unitName="which_search"/>
+
+## Questions and feedback
+
+import DocsFeedback from '/_includes/docs-feedback.mdx';
+
+<DocsFeedback/>