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.openpublishing.redirection.json

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learn-pr/achievements.yml

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# title: Module template
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# summary: Module template badge.
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# iconUrl: http://via.placeholder.com/120x120
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- uid: learn.analyze-logs-with-kql.badge
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type: badge
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title: Guided project - Analyze logs in Azure Monitor with KQL
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summary: Write log queries to find answers to operational and business questions. Use Kusto Query Language (KQL) to extract insights from logs in Azure Monitor.
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iconUrl: /training/achievements/analyze-logs-with-kql.svg
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- uid: learn.azure.characterize-dataset-azure-data-explorer.badge
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type: badge
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title: Characterize an unfamiliar dataset with Azure Data Explorer
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summary: Learn how to characterize an unfamiliar dataset using Azure Data Explorer.
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iconUrl: /training/achievements/azure-data-explore-web.svg
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- uid: learn.visualize-data-workbooks.badge
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type: badge
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title: Visualize data combined from multiple data sources by using Azure Monitor Workbooks
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summary: Use Azure Workbooks to query data from multiple data sources and use visualizations such as graphs, charts, and grids to build visual reports for data analysis and reporting.
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iconUrl: /training/achievements/generic-badge.svg
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- uid: learn.azure-security.configure-security-policies-to-manage-data.badge
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type: badge
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title: Configure security policies to manage data
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summary: Learn how to configure security policies to manage data.
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iconUrl: /training/achievements/configure-security-policies-to-manage-data.svg
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- uid: learn.sql-server-2022-performance-enhancements.badge
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type: badge
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title: Understand the built-in query intelligence enhancements of SQL Server 2022
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title: Exercise your emotional intelligence
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summary: Learn how to use your emotional intelligence to help your peers.
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iconUrl: /training/achievements/tech-resilience/exercise-emotional-intelligence.svg
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- uid: learn.student-evangelism.cultivate-culture-belong-tech.badge
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type: badge
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title: Cultivate a culture of belongingness in tech
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summary: Explore what belonging is, why it matters, and how to recognize it. Learn about historical and current challenges to belonging in tech, and understand what contributes to a climate of belonging, including strategies to build inclusive environments.
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iconUrl: /training/achievements/tech-resilience/culture-belonging.svg
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- uid: learn.student-evangelism.enhance-self-efficacy.badge
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type: badge
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title: Enhance your self-efficacy
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summary: Develop a mindset that will set you up for success in technology.
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iconUrl: /training/achievements/tech-resilience/enhance-self-efficacy.svg
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- uid: learn.student-evangelism.tech-resilience.trophy
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type: trophy
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title: Build your tech resilience
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summary: Far too many talented people avoid choosing or actively decide to leave tech because it can be unwelcoming. Our mission? To help build a more inclusive future for the tech industry by fostering confidence, a growth mindset, resilience, and a sense of belonging. Start here to grow more as an individual and team and learn useful strategies that have a strong research base of evidence for improving effectiveness in the workplace. By the end of this series, we hope you have a new way of taking ownership over your problem-solving process, which you can apply when debugging code or when working with a team under a tight deadline.
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iconUrl: /training/achievements/tech-resilience/path.svg
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- uid: learn.student-evangelism.develop-growth-mindset.badge
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type: badge
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title: Develop a growth mindset
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summary: "In this module, you'll learn to distinguish between two mindsets: a growth mindset and a fixed mindset. When you adopt a growth mindset, you set yourself up for success and are able to take on new challenges."
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iconUrl: /training/achievements/tech-resilience/develop-growth-mindset.svg
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- uid: learn.career-interview.badge
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type: badge
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title: Successful interviewing
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summary: In this module, you'll learn how to prepare for technical and nontechnical interviews. You'll also get recommendations on how to best carry out an interview.
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iconUrl: /training/achievements/student-evangelism/career-interview.svg
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- uid: learn.career-growth.badge
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type: badge
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title: From intern to full-time position
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summary: You've landed your first job in tech as an intern, so now what? Learn strategies to growth-hack your career to ensure that you'll get an offer to join the company full-time after the internship is over.
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iconUrl: /training/achievements/student-evangelism/career-growth.svg
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- uid: learn.start-career-in-tech.trophy
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type: trophy
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title: Start in tech as an intern
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summary: A great way to start in tech is by landing a position as an intern. But how do you that? To get there, you need to consider things like, crafting a resume and passing an intern interview. Once an intern, you want to make sure that position turns into a full-time position in tech.
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iconUrl: /training/achievements/start-career-in-tech.svg
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- uid: learn.career-get-noticed.badge
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type: badge
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title: How to get noticed
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summary: Getting noticed by prospective employers is the first step toward landing a job in tech. This module offers plenty of helpful tips and strategies.
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iconUrl: /training/achievements/student-evangelism/career-get-noticed.svg
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- uid: learn.student-evangelism.use-apis-discover-museum-art.badge
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type: badge
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title: Explore the art world by using RESTful APIs
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summary: Learn about how to build a basic API, how to query APIs, and authentication strategies in Python and JavaScript while discovering unique art by using museum APIs.
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iconUrl: /training/achievements/use-apis-discover-museum-art.svg
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- uid: learn.advocates.create-web-app-with-refreshable-models.badge
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type: badge
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title: Build a Web App with Refreshable Machine Learning Models
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summary: Build a web app powered by machine learning models trained using Custom Vision AI service, and learn how to refresh them with GitHub Actions.
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iconUrl: /training/achievements/advocates/create-web-app-with-refreshable-models.svg
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- uid: learn.language.react-work-with-components-and-data.badge
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type: badge
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title: Working with data and properties in React components
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summary: The goal of React components is to create reusable blocks of code and UI. To support reusability, you can pass data into components through the use of properties. We will see how to add properties to a component, and work with complex data types such as arrays.
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iconUrl: /training/achievements/react/react-components-data.svg
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- uid: learn.language.react-states-events.badge
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type: badge
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title: React state and events
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summary: Applications typically involve data that will be changed by user interactions. These changes are often managed through some form of state and events. In this module, we explore the concepts of state and events. We also look at the tools React provides for management.
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iconUrl: /training/achievements/react/react-state-events.svg
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- uid: learn.react.trophy
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type: trophy
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title: Creating your first web apps with React
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summary: React.js is the most popular front-end JavaScript framework. Through JSX, a combination of HTML and JavaScript, developers are able to create views in a natural fashion. Developers can also create components for reusable blocks across their applications. This learning path will introduce you to React, and the core skills you need as a developer to use this powerful framework.
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iconUrl: /training/achievements/react/react-path.svg
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- uid: learn.language.react-get-started.badge
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type: badge
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title: Get started with React
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summary: React.js is the most popular front-end JavaScript framework. Developers use JSX, a combination of HTML and JavaScript, to create views in a natural way. Developers can also create components for blocks that can be reused across their applications. This module introduces React and the core skills developers need to use this powerful framework.
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iconUrl: /training/achievements/react/react-get-started.svg
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- uid: learn.sports-machine-learning.use-mixed-reality-toolkit.badge
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type: badge
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title: Create a mixed reality basketball player lineup with the Mixed Reality Toolkit
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summary: "Use C#, Visual Studio, Unity, and the Mixed Reality Toolkit to create an interactive virtual reality experience compatible with the HoloLens. Inspired by *Space Jam: A New Legacy*, you create an experience for coaches and fans to learn more about the Tune Squad."
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iconUrl: /training/achievements/student-evangelism/create-mixed-reality-basketball-lineup-mixed-reality-toolkit.svg
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- uid: learn.student-evangelism.optimize-basketball-player-rest-breaks.badge
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type: badge
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title: Create a web app that uses data to make decisions on the basketball court
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summary: "Use JavaScript, Azure, GitHub, and Visual Studio Code to write a web app that helps the Tune Squad coach make data-based decisions on the basketball court, inspired by SPACE JAM: A NEW LEGACY."
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iconUrl: /training/achievements/student-evangelism/optimize-basketball-player-rest-breaks.svg
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- uid: learn.student-evangelism.predict-basketball-player-efficiency-ratings.badge
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type: badge
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title: Predict basketball player efficiency ratings by using machine learning and Visual Studio Code
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summary: "By using anonymized data from real and animated basketball players in the upcoming film *Space Jam: A New Legacy*, create a machine learning model to cleanse data to be used during games. Also explore bimodal data distributions by using Python in Visual Studio Code."
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iconUrl: /training/achievements/student-evangelism/predict-basketball-player-efficiency-ratings.svg
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- uid: learn.optimize-basketball-games-with-machine-learning.trophy
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type: trophy
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title: "Use basketball stats to optimize game play with Visual Studio Code, inspired by SPACE JAM: A NEW LEGACY"
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summary: "Inspired by the new film _Space Jam: A New Legacy_, this learning path shows basketball fans how an understanding of data science and coding can support their passions, create opportunities, and even open doors to possible careers. Develop skills in Visual Studio Code, Azure, GitHub, JavaScript, and Python, to gain insights into how individual moments throughout a player's history can lead to a critical game decision in the finals."
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iconUrl: /training/achievements/student-evangelism/optimize-basketball-games-with-machine-learning.svg
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- uid: learn.sports-machine-learning.mixed-reality-for-sports-fans.badge
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type: badge
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title: Prepare to bring the basketball court into a Mixed Reality space
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summary: "Discover the fundamentals of Mixed Reality and prepare the resources you need to create an interactive experience for basketball fans and coaches inspired by *Space Jam: A New Legacy*."
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iconUrl: /training/achievements/mixed-reality-for-sports-fans.svg
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- uid: learn.machine-learning.predictive-maintenance-model-builder.badge
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type: badge
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title: Train a machine learning model for predictive maintenance by using ML.NET Model Builder
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summary: Train a machine learning model in Visual Studio with ML.NET by using Model Builder, which uses sensor data to detect whether a manufacturing device is broken.
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iconUrl: /training/achievements/machine-learning/predictive-maintenance-model-builder.svg
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- uid: learn.machine-learning.introduction-clustering-models.badge
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type: badge
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title: Introduction to clustering models by using R and tidymodels
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summary: Get an introduction to clustering models. Clustering is the process of grouping objects with similar objects.
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iconUrl: /training/achievements/machine-learning/introduction-clustering-models.svg
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- uid: learn.machine-learning.introduction-regression-models.badge
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type: badge
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title: Introduction to regression models by using R and tidymodels
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summary: Get an introduction to regression models. In machine learning, the goal of regression is to create a model that can predict a numeric, quantifiable value.
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iconUrl: /training/achievements/machine-learning/introduction-regression-models.svg
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- uid: learn.machine-learning.introduction-classification-models.badge
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type: badge
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title: Introduction to classification models by using R and tidymodels
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summary: Classification is a form of machine learning in which you train a classification model to predict which category an item belongs to. In this module, you learn how to use the R programming language and tidymodels framework to train classification models.
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iconUrl: /training/achievements/machine-learning/introduction-classification-models.svg
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- uid: learn.machine-learning.machine-learning-with-r.trophy
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type: trophy
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title: Create machine learning models with R and tidymodels
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summary: Learn how to explore and analyze data by using R. Get an introduction to regression models, classification models, and clustering models by using tidymodels and R.
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iconUrl: /training/achievements/machine-learning/machine-learning-with-r.svg
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- uid: learn.machine-learning.explore-analyze-data-r.badge
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type: badge
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title: Explore and analyze data with R
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summary: In this module, you explore, analyze, and visualize data by using the R programming language.
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iconUrl: /training/achievements/machine-learning/explore-analyze-data-r.svg
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- uid: learn.advocates.cv-classify-bird-species.badge
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type: badge
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title: Classify endangered bird species with Custom Vision
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summary: As an ornithologist, you study the behavior, physiology, and conservation of birds and bird habitat. Your work often involves surveying, recording, and reporting on bird activity. You want to build a machine learning model that will identify a bird in an image by species, to help with gathering data. In this module, you use Azure AI Custom Vision to create a model to identify species of birds!
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iconUrl: /training/achievements/advocates/cv-classify-bird-species.svg

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