{"id":2972,"date":"2024-10-15T15:40:47","date_gmt":"2024-10-15T15:40:47","guid":{"rendered":"http:\/\/wolframu.wolfram.com\/?post_type=certifications&#038;p=2972"},"modified":"2026-07-08T14:00:39","modified_gmt":"2026-07-08T14:00:39","slug":"level1-neural-networks","status":"publish","type":"certifications","link":"https:\/\/www.wolfram.com\/wolfram-u\/certifications\/level1-neural-networks\/","title":{"rendered":"Proficiency in Neural Networks"},"content":{"rendered":"<h1>Proficiency in Neural Networks<\/h1>\r\n<div class=\"sub-title text-align-c margin-b-50\">Level 1 Certification<\/div>\r\n<section class=\"highlighted-section\">\r\n    <div class=\"wrapper\">\r\n      <img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/content.wolfram.com\/sites\/44\/2023\/02\/NeuralNet-Bootcamp.png\" class=\"fill width-full__900\" width=\"253\" height=\"183\" sizes=\"(max-width: 253px) 100vw, 253px\">\r\n      <div class=\"course-summary text-align-l\">\r\n          <p>Wolfram Language provides users with many tools for importing, modifying and training neural networks. Completing the Level 1 certification exercises demonstrates that you have achieved proficiency in using these tools for a range of machine learning tasks. This set of certification exercises covers cleaning and synthesizing training data, optimizing training parameters and options, implementing transfer learning and even adversarial machine learning.<br><a href=\"#certificates\" class=\"anchor-link-icon\">Learn more about the different levels of Wolfram certification<\/a><\/p>\r\n\r\n\r\n        <div class=\"margin-t-2 info-tooltip-wrapper info-tooltip-btn\"><a href=\"https:\/\/www.wolfram.com\/wolfram-u\/certification\/level1\/payment\/?level=1&items=NNCERTL1FEE\" target=\"_blank\" class=\"btn btn-green\">Pay Certification Fee<\/a>\r\n          <div class=\"info-tooltip-content\">Pay for certification and download exercises.<\/div>\r\n        <\/div>\r\n        <div class=\"margin-t-2 margin-l-1-2 info-tooltip-wrapper info-tooltip-btn\"><a href=\"https:\/\/www.wolframcloud.com\/obj\/8cd65edc-7d7d-4980-8636-4425536c7517\" target=\"_blank\" class=\"btn btn-green btn-green-outline\">View Certification Exercises<\/a>\r\n          <div class=\"info-tooltip-content\">Preview the exercise notebook.<\/div>\r\n        <\/div>\r\n\r\n      <\/div>\r\n    <\/section>\r\n\r\n     <section class=\"margin-t-50\">\r\n      <div class=\"wrapper\">\r\n        <h2>You'll Need to Know About...<\/h2>\r\n        <div class=\"grid cols-2 heirs-width-1-2 cols-1__600 heirs-width-full__600\">\r\n          <ul class=\"outline\"> \r\n            <li><strong>Network Training<\/strong>: Choosing a reasonable network capacity and addressing problems like overfitting via different means.<\/li>\r\n            <li><strong>Data Cleaning<\/strong>: Dealing with missing and messy data so that it can be used for network training.<\/li>\r\n            <li><strong>Data Encoding<\/strong>: Taking different types of input data and encoding them into vectors and tensors for use in a neural network.<\/li>\r\n          <\/ul>\r\n          <ul class=\"outline\"> \r\n            <li><strong>Network Architecture<\/strong>: Constructing and modifying neural networks on a layer-by-layer basis.<\/li>\r\n            <li><strong>Transfer Learning<\/strong>: Modifying existing networks and retraining them to perform new tasks.<\/li>\r\n            <li><strong>Adversarial Networks<\/strong>: Creating a network which can produce inputs that fool another network.<\/li>\r\n\r\n          <\/ul>\r\n        <\/div>\r\n      <\/div>\r\n    <\/section>\r\n         \r\n    <section id=\"project-submission\" class=\"section-border-top margin-t-50\">\r\n      <div class=\"wrapper\">\r\n        <h2>Certification Policies<\/h2>\r\n        <p>Certification exercises are provided in a Wolfram Notebook. Candidates select <strong>two<\/strong> of the four exercises, write full properly-commented solutions and submit their completed exercises for grading within one week. A score of 70% or higher is required for Level 1 certification. Candidates may request exam accommodations for special requirements due to disabilities by contacting Wolfram U, who will notify them of a decision. Your exercise notebook should not be shared with anyone else. Failure to follow these policies may result in the disqualification of a candidate for certification.<\/p>\r\n      <\/div>\r\n    <\/section>\r\n    \r\n    <section  class=\"timeline section-border-top margin-t-50 margin-b-30\">\r\n      <div class=\"wrapper\">\r\n        <h2 class=\"margin-b-30\">Recommended Level 1 Certification Process<\/h2>\r\n        <ul>\r\n          <li><span class=\"large-bullet\" style=\"background-color: #71cdbd;\"><\/span><span class=\"timeline-text\">Familiarize yourself with the Wolfram Language neural network framework. A good place to start is the <a href=\"https:\/\/reference.wolfram.com\/language\/guide\/NeuralNetworks.html\">guide page<\/a> which links many of the relevant functions as well as related tech notes, workflow guides and more.<\/span><\/li>\r\n          <li><span class=\"large-bullet\" style=\"background-color: #6abeb9;\"><\/span><span class=\"timeline-text\">Find additional resources in the <a href=\"https:\/\/www.wolfram.com\/wolfram-u\/courses\/catalog\/\">Wolfram U catalog<\/a>. Use the available filters and search to find courses specific to the topics you want to study.<\/span><\/li>\r\n          <li><span class=\"large-bullet\" style=\"background-color: #62b0b7;\"><\/span><span class=\"timeline-text\">If you are unfamiliar with neural networks, you may want to start with the video lesson <a href=\"https:\/\/www.wolfram.com\/wolfram-u\/courses\/machine-learning\/neural-networks-basics-ml011\/\">Neural Networks Basic Concepts<\/a>. You can get a better sense of neural networks in Wolfram Language specifically by watching this <a href=\"https:\/\/www.wolfram.com\/wolfram-u\/courses\/machine-learning\/neural-net-framework-introduction-ml914\/\">gentle introduction<\/a> to the neural net framework and\/or by attending our <a href=\"http:\/\/www.wolfram.com\/wolfram-u\/courses\/machine-learning\/introduction-neural-networks-ml010\/\">Introduction to Neural Networks<\/a> course.<\/span><\/li>\r\n          <li><span class=\"large-bullet\" style=\"background-color: #5aa1b5;\"><\/span><span class=\"timeline-text\">Pay the $195 certification fee (Education customers pay $100; students pay $50)<\/span><\/li>\r\n          <li><span class=\"large-bullet\" style=\"background-color: #5393b2;\"><\/span><span class=\"timeline-text\">Review and choose <strong>two<\/strong> of the four possible exercises to solve. (Only two will be graded, so don't do more.)<\/span><\/li>\r\n          <li><span class=\"large-bullet\" style=\"background-color: #4b86ae;\"><\/span><span class=\"timeline-text\">Download the exercise notebook and fill it out with your solutions. Make sure to explain your code and confirm that it runs properly in a fresh kernel.<\/span><\/li>\r\n          <li><span class=\"large-bullet\" style=\"background-color: #4478ac;\"><\/span><span class=\"timeline-text\">Submit your notebook to us for grading within 1 week using the file upload link that is provided when you pay your fee.<\/span><\/li>\r\n        <\/ul>\r\n        <ul>\r\n          <li><span class=\"large-bullet\"><\/span>\r\n            <span class=\"timeline-text\">Your Level 1 certificate will be awarded once we grade your notebook and assign it a passing score.<\/span><\/li>\r\n        <\/ul>\r\n      <\/div>\r\n    <\/section>","protected":false},"excerpt":{"rendered":" This certification is earned by successfully completing graded exercises. Candidates are allowed one week to complete exercises and are not allowed to receive help from others. Be sure to read the certification policies before you start.","protected":false},"featured_media":1571,"parent":0,"template":"","meta":{"footnotes":""},"class_list":["post-2972","certifications","type-certifications","status-publish","has-post-thumbnail","hentry","course_options-new"],"_links":{"self":[{"href":"https:\/\/www.wolfram.com\/wolfram-u\/wp-json\/wp\/v2\/certifications\/2972"}],"collection":[{"href":"https:\/\/www.wolfram.com\/wolfram-u\/wp-json\/wp\/v2\/certifications"}],"about":[{"href":"https:\/\/www.wolfram.com\/wolfram-u\/wp-json\/wp\/v2\/types\/certifications"}],"version-history":[{"count":3,"href":"https:\/\/www.wolfram.com\/wolfram-u\/wp-json\/wp\/v2\/certifications\/2972\/revisions"}],"predecessor-version":[{"id":5335,"href":"https:\/\/www.wolfram.com\/wolfram-u\/wp-json\/wp\/v2\/certifications\/2972\/revisions\/5335"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.wolfram.com\/wolfram-u\/wp-json\/wp\/v2\/media\/1571"}],"wp:attachment":[{"href":"https:\/\/www.wolfram.com\/wolfram-u\/wp-json\/wp\/v2\/media?parent=2972"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}