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https://executive-ed.xpro.mit.edu/artificial-intelligence-in-healthcare?utm_source=SOEmailer&utm_medium=read-more_pgrm-lp&utm_camp...
Submission: On July 12 via manual from US — Scanned from DE
Submission: On July 12 via manual from US — Scanned from DE
Form analysis
2 forms found in the DOMPOST /iframes/custom_forms/1467/custom_form_entries
<form class="simple_form custom-form js-custom-form" id="new_custom_form_entry" action="/iframes/custom_forms/1467/custom_form_entries" accept-charset="UTF-8" method="post">
<div class="form-group string required custom_form_entry_first_name">
<input class="form-control string required" autocomplete="given-name" name="custom_form_entry[1]" placeholder="First name" type="text" value="
" required="required" aria-required="true" id="custom_form_entry_first_name"><label class="form-control-label string required" for="custom_form_entry_first_name">First name <abbr title="required"></abbr></label>
</div>
<div class="form-group string required custom_form_entry_last_name">
<input class="form-control string required" autocomplete="family-name" name="custom_form_entry[3]" placeholder="Last Name" type="text" value="
" required="required" aria-required="true" id="custom_form_entry_last_name"><label class="form-control-label string required" for="custom_form_entry_last_name">Last Name <abbr title="required"></abbr></label>
</div>
<div class="form-group string required custom_form_entry_email">
<input class="form-control string required" autocomplete="email" name="custom_form_entry[6]" placeholder="Email" type="email" value="
" required="required" aria-required="true" id="custom_form_entry_email"><label class="form-control-label string required" for="custom_form_entry_email">Email <abbr title="required"></abbr></label>
</div>
<div class="form-group form-radio boolean">
<label>Inquiring for</label>
<div class="d-flex flex-wrap">
<input type="radio" required="" class="form-radio__input" id="myself" name="inquiring-for" value="myself" checked="">
<label for="myself" class="form-radio__label"> Myself </label>
<input type="radio" required="" class="form-radio__input" id="team" name="inquiring-for" value="team">
<label for="team" class="form-radio__label"> Team/Group </label>
</div>
</div>
<input class="hidden" name="custom_form_entry[7]" type="text" required="required" aria-required="true" value="myself" id="custom_form_entry_inquiring_for">
<div class="form-group select custom_form_entry_work_experience required">
<select class="form-control select required" name="custom_form_entry[5]" autocomplete="off" placeholder="Total" work="" experience="" type="select" required="" aria-required="true" id="custom_form_entry_work_experience">
<option value=""> </option>
<option value="Less than 5 Years">Less than 5 Years</option>
<option value="5-10 Years">5-10 Years</option>
<option value="10-15 Years">10-15 Years</option>
<option value="15-20 Years">15-20 Years</option>
<option value="> 20 Years">> 20 Years</option>
</select>
<label class="form-control-label select required" for="custom_form_entry_work_experience">Total Work Experience </label>
</div>
<div class="form-group country_select required custom_form_entry_country">
<select class="form-control country_select required" autocomplete="country" name="custom_form_entry[2]" placeholder="Country/Region" type="country" required="required" aria-required="true" id="custom_form_entry_country">
<option value="" label=" "></option>
<option value="AF">Afghanistan</option>
<option value="AX">Aland Islands</option>
<option value="AL">Albania</option>
<option value="DZ">Algeria</option>
<option value="AS">American Samoa</option>
<option value="AD">Andorra</option>
<option value="AO">Angola</option>
<option value="AI">Anguilla</option>
<option value="AQ">Antarctica</option>
<option value="AG">Antigua and Barbuda</option>
<option value="AR">Argentina</option>
<option value="AM">Armenia</option>
<option value="AW">Aruba</option>
<option value="AU">Australia</option>
<option value="AT">Austria</option>
<option value="AZ">Azerbaijan</option>
<option value="BS">Bahamas</option>
<option value="BH">Bahrain</option>
<option value="BD">Bangladesh</option>
<option value="BB">Barbados</option>
<option value="BY">Belarus</option>
<option value="BE">Belgium</option>
<option value="BZ">Belize</option>
<option value="BJ">Benin</option>
<option value="BM">Bermuda</option>
<option value="BT">Bhutan</option>
<option value="BO">Bolivia</option>
<option value="BQ">Bonaire, Sint Eustatius and Saba</option>
<option value="BA">Bosnia and Herzegovina</option>
<option value="BW">Botswana</option>
<option value="BV">Bouvet Island</option>
<option value="BR">Brazil</option>
<option value="IO">British Indian Ocean Territory</option>
<option value="BN">Brunei</option>
<option value="BG">Bulgaria</option>
<option value="BF">Burkina Faso</option>
<option value="BI">Burundi</option>
<option value="KH">Cambodia</option>
<option value="CM">Cameroon</option>
<option value="CA">Canada</option>
<option value="CV">Cape Verde</option>
<option value="KY">Cayman Islands</option>
<option value="CF">Central African Republic</option>
<option value="TD">Chad</option>
<option value="CL">Chile</option>
<option value="CN">China</option>
<option value="CX">Christmas Island</option>
<option value="CC">Cocos (Keeling) Islands</option>
<option value="CO">Colombia</option>
<option value="KM">Comoros</option>
<option value="CG">Congo</option>
<option value="CK">Cook Islands</option>
<option value="CR">Costa Rica</option>
<option value="HR">Croatia</option>
<option value="CU">Cuba</option>
<option value="CW">Curaçao</option>
<option value="CY">Cyprus</option>
<option value="CZ">Czech Republic</option>
<option value="CI">Côte d’Ivoire</option>
<option value="CD">Democratic Republic of the Congo</option>
<option value="DK">Denmark</option>
<option value="DJ">Djibouti</option>
<option value="DM">Dominica</option>
<option value="DO">Dominican Republic</option>
<option value="EC">Ecuador</option>
<option value="EG">Egypt</option>
<option value="SV">El Salvador</option>
<option value="GQ">Equatorial Guinea</option>
<option value="ER">Eritrea</option>
<option value="EE">Estonia</option>
<option value="ET">Ethiopia</option>
<option value="FK">Falkland Islands</option>
<option value="FO">Faroe Islands</option>
<option value="FJ">Fiji</option>
<option value="FI">Finland</option>
<option value="FR">France</option>
<option value="GF">French Guiana</option>
<option value="PF">French Polynesia</option>
<option value="TF">French Southern Territories</option>
<option value="GA">Gabon</option>
<option value="GM">Gambia</option>
<option value="GE">Georgia</option>
<option value="DE">Germany</option>
<option value="GH">Ghana</option>
<option value="GI">Gibraltar</option>
<option value="GR">Greece</option>
<option value="GL">Greenland</option>
<option value="GD">Grenada</option>
<option value="GP">Guadeloupe</option>
<option value="GU">Guam</option>
<option value="GT">Guatemala</option>
<option value="GG">Guernsey</option>
<option value="GN">Guinea</option>
<option value="GW">Guinea-Bissau</option>
<option value="GY">Guyana</option>
<option value="HT">Haiti</option>
<option value="HM">Heard Island and McDonald Islands</option>
<option value="HN">Honduras</option>
<option value="HK">Hong Kong S.A.R., China</option>
<option value="HU">Hungary</option>
<option value="IS">Iceland</option>
<option value="WS">Independent State of Samoa</option>
<option value="IN">India</option>
<option value="ID">Indonesia</option>
<option value="IR">Iran</option>
<option value="IQ">Iraq</option>
<option value="IE">Ireland</option>
<option value="IM">Isle of Man</option>
<option value="IL">Israel</option>
<option value="IT">Italy</option>
<option value="JM">Jamaica</option>
<option value="JP">Japan</option>
<option value="JE">Jersey</option>
<option value="JO">Jordan</option>
<option value="KZ">Kazakhstan</option>
<option value="KE">Kenya</option>
<option value="KI">Kiribati</option>
<option value="KW">Kuwait</option>
<option value="KG">Kyrgyzstan</option>
<option value="LA">Laos</option>
<option value="LV">Latvia</option>
<option value="LB">Lebanon</option>
<option value="LS">Lesotho</option>
<option value="LR">Liberia</option>
<option value="LY">Libya</option>
<option value="LI">Liechtenstein</option>
<option value="LT">Lithuania</option>
<option value="LU">Luxembourg</option>
<option value="MO">Macao S.A.R., China</option>
<option value="MK">Macedonia</option>
<option value="MG">Madagascar</option>
<option value="MW">Malawi</option>
<option value="MY">Malaysia</option>
<option value="MV">Maldives</option>
<option value="ML">Mali</option>
<option value="MT">Malta</option>
<option value="MH">Marshall Islands</option>
<option value="MQ">Martinique</option>
<option value="MR">Mauritania</option>
<option value="MU">Mauritius</option>
<option value="YT">Mayotte</option>
<option value="MX">Mexico</option>
<option value="FM">Micronesia, Federated States of</option>
<option value="MD">Moldova, Republic of</option>
<option value="MC">Monaco</option>
<option value="MN">Mongolia</option>
<option value="ME">Montenegro</option>
<option value="MS">Montserrat</option>
<option value="MA">Morocco</option>
<option value="MZ">Mozambique</option>
<option value="MM">Myanmar</option>
<option value="NA">Namibia</option>
<option value="NR">Nauru</option>
<option value="NP">Nepal</option>
<option value="NL">Netherlands</option>
<option value="NC">New Caledonia</option>
<option value="NZ">New Zealand</option>
<option value="NI">Nicaragua</option>
<option value="NE">Niger</option>
<option value="NG">Nigeria</option>
<option value="NU">Niue</option>
<option value="NF">Norfolk Island</option>
<option value="KP">North Korea</option>
<option value="MP">Northern Mariana Islands</option>
<option value="NO">Norway</option>
<option value="OM">Oman</option>
<option value="PK">Pakistan</option>
<option value="PW">Palau</option>
<option value="PS">Palestinian Territory</option>
<option value="PA">Panama</option>
<option value="PG">Papua New Guinea</option>
<option value="PY">Paraguay</option>
<option value="PE">Peru</option>
<option value="PH">Philippines</option>
<option value="PN">Pitcairn Islands</option>
<option value="PL">Poland</option>
<option value="PT">Portugal</option>
<option value="PR">Puerto Rico</option>
<option value="QA">Qatar</option>
<option value="RO">Romania</option>
<option value="RU">Russia</option>
<option value="RW">Rwanda</option>
<option value="RE">Réunion</option>
<option value="SH">Saint Helena, Ascension and Tristan da Cunha</option>
<option value="KN">Saint Kitts and Nevis</option>
<option value="LC">Saint Lucia</option>
<option value="MF">Saint Martin (French part)</option>
<option value="VC">Saint Vincent and the Grenadines</option>
<option value="SM">San Marino</option>
<option value="ST">Sao Tome and Principe</option>
<option value="SA">Saudi Arabia</option>
<option value="SN">Senegal</option>
<option value="RS">Serbia</option>
<option value="SC">Seychelles</option>
<option value="SL">Sierra Leone</option>
<option value="SG">Singapore</option>
<option value="SX">Sint Maarten (Dutch part)</option>
<option value="SK">Slovakia</option>
<option value="SI">Slovenia</option>
<option value="SB">Solomon Islands</option>
<option value="SO">Somalia</option>
<option value="ZA">South Africa</option>
<option value="GS">South Georgia & South Sandwich Islands</option>
<option value="KR">South Korea</option>
<option value="SS">South Sudan</option>
<option value="ES">Spain</option>
<option value="LK">Sri Lanka</option>
<option value="BL">St. Barthélemy</option>
<option value="PM">St. Pierre & Miquelon</option>
<option value="SD">Sudan</option>
<option value="SR">Suriname</option>
<option value="SJ">Svalbard and Jan Mayen</option>
<option value="SZ">Swaziland</option>
<option value="SE">Sweden</option>
<option value="CH">Switzerland</option>
<option value="SY">Syria</option>
<option value="TW">Taiwan</option>
<option value="TJ">Tajikistan</option>
<option value="TZ">Tanzania</option>
<option value="TH">Thailand</option>
<option value="TL">Timor-Leste</option>
<option value="TG">Togo</option>
<option value="TK">Tokelau</option>
<option value="TO">Tonga</option>
<option value="TT">Trinidad and Tobago</option>
<option value="TN">Tunisia</option>
<option value="TR">Turkey</option>
<option value="TM">Turkmenistan</option>
<option value="TC">Turks and Caicos Islands</option>
<option value="TV">Tuvalu</option>
<option value="UM">U.S. Outlying Islands</option>
<option value="UG">Uganda</option>
<option value="UA">Ukraine</option>
<option value="AE">United Arab Emirates</option>
<option value="GB">United Kingdom</option>
<option value="US">United States</option>
<option value="UY">Uruguay</option>
<option value="UZ">Uzbekistan</option>
<option value="VU">Vanuatu</option>
<option value="VA">Vatican City</option>
<option value="VE">Venezuela</option>
<option value="VN">Vietnam</option>
<option value="VG">Virgin Islands, British</option>
<option value="VI">Virgin Islands, U.S.</option>
<option value="WF">Wallis & Futuna</option>
<option value="EH">Western Sahara</option>
<option value="YE">Yemen</option>
<option value="ZM">Zambia</option>
<option value="ZW">Zimbabwe</option>
</select><label class="form-control-label country_select required" for="custom_form_entry_country">Country/Region <abbr title="required"></abbr></label>
</div>
<div class="form-group string required custom_form_entry_mobile_no">
<input class="form-control string required" autocomplete="tel" name="custom_form_entry[4]" placeholder="Phone" type="tel" value="
" required="required" aria-required="true" id="custom_form_entry_mobile_no"><label class="form-control-label string required" for="custom_form_entry_mobile_no">Phone <abbr title="required"></abbr></label>
</div>
<div class="form-group string required custom_form_entry_company hidden">
<input class="form-control string required" name="custom_form_entry[8]" placeholder="Company" type="text" aria-required="true" value="" id="custom_form_entry_company">
<label class="form__label string required form-control-label" for="custom_form_entry_company">Company <abbr title="required"></abbr></label>
</div>
<div class="form-group string required custom_form_entry_number_of_participants hidden">
<select class="form__input select form-control" name="custom_form_entry[9]" id="custom_form_entry_number_of_participants">
<option value=""> </option>
<option value="2">1-2</option>
<option value="5">3-5</option>
<option value="11">6-11</option>
<option value="12">12+</option>
</select>
<label class="form__label string required form-control-label" for="custom_form_entry_number_of_participants">Number Of Participants <abbr title="required"></abbr></label>
</div>
<fieldset class="form-group boolean optional custom_form_entry_agree form-group-valid js-custom-form__contact-checkbox-block"
data-gdpr-countries="AT BE BG BR CR CY CZ DE DK EE ES FI FR GB GR HR HU IE IT LT LU LV MT NL PL PT RO SE SI SK LI NO IS GP GF MQ YT RE SX MF" data-non-gdpr-more-cautious-countries="AU CA US"
data-b2b-explicit-consent="I agree to receive communications from MIT xPRO & Emeritus about this and other relevant programs and accept <a href="https://emeritus.org/privacy-policy/" target="_blank">Privacy Policy</a>, <a href="https://emeritus.org/terms-of-service/#1681997433614-6843cfe1-766e" target="_blank">Payment Policy</a> and <a href="https://emeritus.org/terms-of-service/" target="_blank">Terms of Use</a>."
data-b2b-implicit-consent="By clicking the button below, you agree to receive communications from MIT xPRO & Emeritus about this and other relevant programs, and accept <a href="https://emeritus.org/privacy-policy/" target="_blank">Privacy Policy</a>, <a href="https://emeritus.org/terms-of-service/#1681997433614-6843cfe1-766e" target="_blank">Payment Policy</a> and <a href="https://emeritus.org/terms-of-service/" target="_blank">Terms of Use</a>."
data-explicit-consent="I agree to receive communications via Email/Call/WhatsApp/SMS from MIT xPRO & Emeritus about this program and other relevant programs. <a href="https://emeritus.org/privacy-policy/" target="_blank">Privacy Policy</a>"
data-implicit-consent="By clicking the button below, you agree to receive communications via Email/Call/WhatsApp/SMS from MIT xPRO & Emeritus about this program and other relevant programs. <a href="https://emeritus.org/privacy-policy/" target="_blank">Privacy Policy</a>"
data-gdpr-type="1" data-non-gdpr-more-cautious-type="2" data-non-gdpr-less-cautious-type="2" data-program-language="en">
<div class="form-check js-form-check">
<input name="custom_form_entry[agree]" type="hidden" value="0" autocomplete="off"><input class="form-check-input is-valid boolean optional form-check--hide-checkbox" value="1" type="checkbox" name="custom_form_entry[agree]"
id="custom_form_entry_agree"><label class="form-check-label boolean optional" for="custom_form_entry_agree">By clicking the button below, you agree to receive communications via Email/Call/WhatsApp/SMS from MIT xPRO & Emeritus about this
program and other relevant programs. <a href="https://emeritus.org/privacy-policy/" target="_blank">Privacy Policy</a> <span class="simple-form-optional">(optional)</span></label>
</div>
</fieldset>
<div class="form-group hidden custom_form_entry_advocate_email"><input class="form-control hidden" value="" autocomplete="off" type="hidden" name="custom_form_entry[advocate_email]" id="custom_form_entry_advocate_email"></div>
<div class="form-group hidden custom_form_entry_advocate_program"><input class="form-control hidden" value="" autocomplete="off" type="hidden" name="custom_form_entry[advocate_program]" id="custom_form_entry_advocate_program"></div>
<div class="form-group hidden custom_form_entry_coupon"><input class="form-control hidden" value="" autocomplete="off" type="hidden" name="custom_form_entry[coupon]" id="custom_form_entry_coupon"></div>
<div class="form-group hidden custom_form_entry_gclid"><input class="form-control hidden" value="" autocomplete="off" type="hidden" name="custom_form_entry[gclid]" id="custom_form_entry_gclid"></div>
<div class="form-group hidden custom_form_entry_media_id"><input class="form-control hidden" value="" autocomplete="off" type="hidden" name="custom_form_entry[media_id]" id="custom_form_entry_media_id"></div>
<div class="form-group hidden custom_form_entry_user_uuid"><input class="form-control hidden" value="" autocomplete="off" type="hidden" name="custom_form_entry[user_uuid]" id="custom_form_entry_user_uuid"></div>
<div class="form-group hidden custom_form_entry_utm_ad_id"><input class="form-control hidden" value="" autocomplete="off" type="hidden" name="custom_form_entry[utm_ad_id]" id="custom_form_entry_utm_ad_id"></div>
<div class="form-group hidden custom_form_entry_utm_adset_id"><input class="form-control hidden" value="" autocomplete="off" type="hidden" name="custom_form_entry[utm_adset_id]" id="custom_form_entry_utm_adset_id"></div>
<div class="form-group hidden custom_form_entry_utm_campaign_id"><input class="form-control hidden" value="" autocomplete="off" type="hidden" name="custom_form_entry[utm_campaign_id]" id="custom_form_entry_utm_campaign_id"></div>
<div class="form-group hidden custom_form_entry_utm_campaign"><input class="form-control hidden" value="B-26251_ww_em-lg_fireside-chat_mo-aihc_120723" autocomplete="off" type="hidden" name="custom_form_entry[utm_campaign]"
id="custom_form_entry_utm_campaign"></div>
<div class="form-group hidden custom_form_entry_utm_content"><input class="form-control hidden" value="post_webinar_def_healthcare" autocomplete="off" type="hidden" name="custom_form_entry[utm_content]" id="custom_form_entry_utm_content"></div>
<div class="form-group hidden custom_form_entry_utm_medium"><input class="form-control hidden" value="read-more_pgrm-lp" autocomplete="off" type="hidden" name="custom_form_entry[utm_medium]" id="custom_form_entry_utm_medium"></div>
<div class="form-group hidden custom_form_entry_utm_placement"><input class="form-control hidden" value="" autocomplete="off" type="hidden" name="custom_form_entry[utm_placement]" id="custom_form_entry_utm_placement"></div>
<div class="form-group hidden custom_form_entry_utm_source"><input class="form-control hidden" value="SOEmailer" autocomplete="off" type="hidden" name="custom_form_entry[utm_source]" id="custom_form_entry_utm_source"></div>
<div class="form-group hidden custom_form_entry_utm_term"><input class="form-control hidden" value="" autocomplete="off" type="hidden" name="custom_form_entry[utm_term]" id="custom_form_entry_utm_term"></div>
<div class="form-group hidden custom_form_entry_course_preview"><input class="form-control hidden" value="" autocomplete="off" type="hidden" name="custom_form_entry[course_preview]" id="custom_form_entry_course_preview"></div>
<div class="form-group hidden custom_form_entry_fbc"><input class="form-control hidden" value="" autocomplete="off" type="hidden" name="custom_form_entry[fbc]" id="custom_form_entry_fbc"></div>
<div class="form-group hidden custom_form_entry_fbp"><input class="form-control hidden" value="" autocomplete="off" type="hidden" name="custom_form_entry[fbp]" id="custom_form_entry_fbp"></div>
<div class="form-group hidden custom_form_entry_incentivized_referral"><input class="form-control hidden" value="" autocomplete="off" type="hidden" name="custom_form_entry[incentivized_referral]" id="custom_form_entry_incentivized_referral"></div>
<div class="form-group hidden custom_form_entry_variation_id"><input class="form-control hidden" value="" autocomplete="off" type="hidden" name="custom_form_entry[variation_id]" id="custom_form_entry_variation_id"></div>
<div class="form-group hidden custom_form_entry_time_zone"><input class="form-control hidden" value="" autocomplete="off" type="hidden" name="custom_form_entry[time_zone]" id="custom_form_entry_time_zone"></div>
<div class="form-group hidden custom_form_entry_landing_page_template_id"><input class="form-control hidden" autocomplete="off" type="hidden" name="custom_form_entry[landing_page_template_id]" id="custom_form_entry_landing_page_template_id"></div>
<div class="form-group hidden custom_form_entry_program_sfid form-group-valid"><input class="form-control is-valid hidden" value="01tAy000000ErT7IAK" autocomplete="off" type="hidden" name="custom_form_entry[program_sfid]"
id="custom_form_entry_program_sfid"></div>
<div class="form-group hidden custom_form_entry_lead_sfid"><input class="form-control hidden" value="
" autocomplete="off" type="hidden" name="custom_form_entry[lead_sfid]" id="custom_form_entry_lead_sfid"></div>
<input type="submit" name="commit" value="Download brochure" class="btn btn--primary js-brochureButton" data-referrals="Next Step" data-referrals-and-course-preview="Claim Coupon and Start Course Preview"
data-track="{"type":"click","event":"download_brochure_click","event_properties":{"lp_cta":{"label":"Download brochure"},"sectionName":"form","uiComponent":"componentButton"}}"
data-disable-with="Download brochure">
</form>
POST /group_enrollments/interested_forms?program_sfid=01tAy000000ErT7IAK
<form class="simple_form simple_form custom-form js-custom-form" id="group-enrollment-modal-form" action="/group_enrollments/interested_forms?program_sfid=01tAy000000ErT7IAK" accept-charset="UTF-8" method="post">
<div class="form-group string required group_enrollments_interested_form_full_name">
<div class="form__float-container">
<input class="form__input string required form-control" placeholder="Full name" required="required" aria-required="true" type="text" name="group_enrollments_interested_form[full_name]" id="group_enrollments_interested_form_full_name"><label
class="form__label string required form-control-label" for="group_enrollments_interested_form_full_name">Full Name <abbr title="required"></abbr></label>
</div>
</div>
<fieldset class="d-flex flex-wrap">
<div class="form-group email required group_enrollments_interested_form_email mr-md-3">
<div class="form__float-container">
<input class="form__input string email required form-control" placeholder="Email" required="required" aria-required="true" type="email" name="group_enrollments_interested_form[email]" id="group_enrollments_interested_form_email"><label
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<span id="ge-implicit-consent-text" class="paragraph--small d-block">By clicking the button below, you agree to receive communications from MIT xPRO & Emeritus about this and other relevant programs, and accept
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Text Content
Enroll Now & Get up to 15% Tuition Assistance Enroll Now× ARTIFICIAL INTELLIGENCE IN HEALTHCARE: FUNDAMENTALS AND APPLICATIONS Harness the power of AI to elevate modern-day medical treatments Download Brochure GET YOUR BROCHURE First name Last Name Email Inquiring for Myself Team/Group Less than 5 Years 5-10 Years 10-15 Years 15-20 Years > 20 Years Total Work Experience Afghanistan Aland Islands Albania Algeria American Samoa Andorra Angola Anguilla Antarctica Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bonaire, Sint Eustatius and Saba Bosnia and Herzegovina Botswana Bouvet Island Brazil British Indian Ocean Territory Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Republic Chad Chile China Christmas Island Cocos (Keeling) Islands Colombia Comoros Congo Cook Islands Costa Rica Croatia Cuba Curaçao Cyprus Czech Republic Côte d’Ivoire Democratic Republic of the Congo Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Falkland Islands Faroe Islands Fiji Finland France French Guiana French Polynesia French Southern Territories Gabon Gambia Georgia Germany Ghana Gibraltar Greece Greenland Grenada Guadeloupe Guam Guatemala Guernsey Guinea Guinea-Bissau Guyana Haiti Heard Island and McDonald Islands Honduras Hong Kong S.A.R., China Hungary Iceland Independent State of Samoa India Indonesia Iran Iraq Ireland Isle of Man Israel Italy Jamaica Japan Jersey Jordan Kazakhstan Kenya Kiribati Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macao S.A.R., China Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Martinique Mauritania Mauritius Mayotte Mexico Micronesia, Federated States of Moldova, Republic of Monaco Mongolia Montenegro Montserrat Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands New Caledonia New Zealand Nicaragua Niger Nigeria Niue Norfolk Island North Korea Northern Mariana Islands Norway Oman Pakistan Palau Palestinian Territory Panama Papua New Guinea Paraguay Peru Philippines Pitcairn Islands Poland Portugal Puerto Rico Qatar Romania Russia Rwanda Réunion Saint Helena, Ascension and Tristan da Cunha Saint Kitts and Nevis Saint Lucia Saint Martin (French part) Saint Vincent and the Grenadines San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Sint Maarten (Dutch part) Slovakia Slovenia Solomon Islands Somalia South Africa South Georgia & South Sandwich Islands South Korea South Sudan Spain Sri Lanka St. Barthélemy St. Pierre & Miquelon Sudan Suriname Svalbard and Jan Mayen Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand Timor-Leste Togo Tokelau Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Turks and Caicos Islands Tuvalu U.S. Outlying Islands Uganda Ukraine United Arab Emirates United Kingdom United States Uruguay Uzbekistan Vanuatu Vatican City Venezuela Vietnam Virgin Islands, British Virgin Islands, U.S. Wallis & Futuna Western Sahara Yemen Zambia ZimbabweCountry/Region Phone Company 1-2 3-5 6-11 12+ Number Of Participants By clicking the button below, you agree to receive communications via Email/Call/WhatsApp/SMS from MIT xPRO & Emeritus about this program and other relevant programs. Privacy Policy (optional) Course Dates STARTS ON September 7, 2023 Course Duration DURATION 7 weeks, online 5–7 hours per week Course Fee PROGRAM FEE US$2,600 US$2,210 and get US$260 off with a referral Course Information Flexible payment available Course Fee FOR YOUR TEAM Enroll your team and learn with your peers Learn More LEARNING IS BETTER WITH YOUR COLLEAGUES Our participants tell us that taking this program together with their colleagues helps to share common language and accelerate impact. We hope you find the same. Special pricing is available for groups. Full Name Email Phone (optional) Company Afghanistan Aland Islands Albania Algeria American Samoa Andorra Angola Anguilla Antarctica Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bonaire, Sint Eustatius and Saba Bosnia and Herzegovina Botswana Bouvet Island Brazil British Indian Ocean Territory Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Republic Chad Chile China Christmas Island Cocos (Keeling) Islands Colombia Comoros Congo Cook Islands Costa Rica Croatia Cuba Curaçao Cyprus Czech Republic Côte d’Ivoire Democratic Republic of the Congo Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Falkland Islands Faroe Islands Fiji Finland France French Guiana French Polynesia French Southern Territories Gabon Gambia Georgia Germany Ghana Gibraltar Greece Greenland Grenada Guadeloupe Guam Guatemala Guernsey Guinea Guinea-Bissau Guyana Haiti Heard Island and McDonald Islands Honduras Hong Kong S.A.R., China Hungary Iceland Independent State of Samoa India Indonesia Iran Iraq Ireland Isle of Man Israel Italy Jamaica Japan Jersey Jordan Kazakhstan Kenya Kiribati Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macao S.A.R., China Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Martinique Mauritania Mauritius Mayotte Mexico Micronesia, Federated States of Moldova, Republic of Monaco Mongolia Montenegro Montserrat Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands New Caledonia New Zealand Nicaragua Niger Nigeria Niue Norfolk Island North Korea Northern Mariana Islands Norway Oman Pakistan Palau Palestinian Territory Panama Papua New Guinea Paraguay Peru Philippines Pitcairn Islands Poland Portugal Puerto Rico Qatar Romania Russia Rwanda Réunion Saint Helena, Ascension and Tristan da Cunha Saint Kitts and Nevis Saint Lucia Saint Martin (French part) Saint Vincent and the Grenadines San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Sint Maarten (Dutch part) Slovakia Slovenia Solomon Islands Somalia South Africa South Georgia & South Sandwich Islands South Korea South Sudan Spain Sri Lanka St. Barthélemy St. Pierre & Miquelon Sudan Suriname Svalbard and Jan Mayen Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand Timor-Leste Togo Tokelau Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Turks and Caicos Islands Tuvalu U.S. Outlying Islands Uganda Ukraine United Arab Emirates United Kingdom United States Uruguay Uzbekistan Vanuatu Vatican City Venezuela Vietnam Virgin Islands, British Virgin Islands, U.S. Wallis & Futuna Western Sahara Yemen Zambia Zimbabwe Country 1-2 3-5 6-11 12+ Number Of Participants By clicking the button below, you agree to receive communications from MIT xPRO & Emeritus about this and other relevant programs, and accept Privacy Policy, Payment Policy and Terms of Use. > The benefit of learning together with your friend is that you keep each other > accountable and have meaningful discussions about what you're learning. Courtlyn Promotion and Events Specialist CONGRATULATIONS! Based on the information you provided, your team is eligible for a special discount, for Artificial Intelligence in Healthcare: Fundamentals and Applications starting on September 7, 2023 . We’ve sent you an email with enrollment next steps. If you’re ready to enroll now, click the button below. Enroll now Not now Have questions? Email us at group-enrollments@emeritus.org. STARTS ON September 7, 2023 DURATION 7 weeks, online 5–7 hours per week PROGRAM FEE US$2,600 US$2,210 and get US$260 off with a referral Course Information Flexible payment available ENROLL YOUR TEAM Learn More Download Brochure Download Brochure DEVELOP FUTURE-READY SKILLS TODAY Emeritus is collaborating with MIT xPRO to help you build future-ready skills. Enroll before and get up to 15% tuition assistance to set yourself up for professional success. APPLICATION DETAILS Save 15% PROGRAM FEE US$2,600 US$2,210 Pay by Save 11% PROGRAM FEE US$2,600 US$2,314 Pay by Save 8% PROGRAM FEE US$2,600 US$2,392 Pay by SOLUTIONS FOR THE FUTURE OF HEALTHCARE WITH ARTIFICIAL INTELLIGENCE (AI) AI plays an increasingly important role in patient treatments. With its ability to accurately predict diseases at early stages, AI is regarded as a powerful tool in today’s healthcare industry. Since AI offers benefits such as informed patient care, improved patient safety, and innovative treatment options, it isn’t surprising that 56% of clinicians believe that most of their decisions over the next decade will be made using AI-based clinical decision support tools. However, clinicians face a knowledge gap and report the rising need for professionals who understand AI-based technologies and ways of leveraging them for the advantage of healthcare providers and patients. With a focus on AI and its applications in modern-day healthcare, MIT xPRO’s AI in Healthcare: Fundamentals and Applications program is designed to give clinical leaders, healthcare IT professionals, and healthcare entrepreneurs the opportunity to learn how AI technologies can make a difference in patient treatment and enable them to develop innovative solutions to the healthcare challenges of today and tomorrow. AI AND HEALTHCARE IN NUMBERS Healthcare technology is at a critical stage, and people with AI expertise have the power to determine its future. USD 208 BILLION The projected market size of AI-based global healthcare solutions by 2030 SOURCE: RESEARCH AND MARKETS 3X The increase in the number of U.S. hospitals that have implemented AI since 2020 SOURCE: WORLD ECONOMIC FORUM 46% The percentage of life sciences leaders who report a shortage of people with AI-implementation skills in their organization SOURCE: WORLD ECONOMIC FORUM WHO IS THIS PROGRAM FOR? A basic understanding of artificial intelligence (AI), machine learning, and data science is ideal in order to make the most of this program. * Technical professionals in the healthcare industry: Technical professionals, such as technical product managers, product managers, directors of product, product design managers, engineering managers, technology project managers, directors of engineering, and directors of technology, who are looking to drive technology adoption at their organizations by adding AI products and services to their arsenals so as to empower patient care. * Entrepreneurs: Leaders in their organizations’ foray into AI technologies who are searching for the right AI solutions to impact millions of lives * Clinical leaders: Senior physicians, department chairs, medical directors, chief medical officers, physician service line directors, nurse leaders, hospital administrators, directors of clinical services, and nursing/medical school deans seeking to sharpen their understanding of AI products and methodologies to advance patient care and identify new opportunities emerging from the field * Tech consultants in healthcare: Consultants in hospitals, digital health, pharma, med tech, research, and insurance who are responsible for shaping the AI strategies for organizations and are, therefore, looking to upgrade their knowledge about new technologies, thereby changing the healthcare system Note: This program has no pre-requisites. However, a preliminary understanding of AI, machine learning and data is recommended to maximize the program's potential. PROGRAM HIGHLIGHTS Learn real-world application simulation by creating an AI decision framework relevant to healthcare Gain an understanding of concepts and technologies, such as machine learning, deep learning, neural network NLP, and biomechatronics Acquire insights and examples from expert MIT faculty Develop your ability to assess challenges, opportunities, and future-driven patient care solutions involving a variety of AI technologies Earn a certificate and four continuing education units (CEUs) from MIT xPRO KEY TAKEAWAYS This program is designed to equip you with the skills to broaden your understanding of the applications of AI-based technologies in healthcare. The program will help you to: BUILD A FOUNDATION * Learn about the AI design process model through its various stages * Understand different machine learning algorithms and how they can be applied in varying scenarios * Examine neural network NLP algorithms and their widespread application * Discover the possibilities and limitations of biomechatronics APPLY YOUR SKILLS * Use the four stages of the AI design process model to solve a technical healthcare problem * Run an implementation of a single- and multi-layer perceptron in Python * Develop an idea for an ingestible robot to solve a healthcare problem * Use the Peloton framework, designed by Research Scientist Brian Subirana, within your specific healthcare domain EXECUTE * Assess business and technical requirements for AI * Map the AI design process, and arrive at a cost model * Resolve a communication problem while using prosthetics * Develop an AI product or service for healthcare PROGRAM TOPICS MODULE 1: The Stages of Designing an AI Product This module focuses on the four stages of designing an AI product. You learn how to identify the desired AI behavior, assess business and technical requirements, measure value, and generate a software development plan. In addition, you learn how to identify the long-term advantages of a product and analyze the three types of AI cancers and their impact. MODULE 2: The Fundamentals and Applications of Machine Learning This module focuses on machine learning. You learn about the various algorithms, classifiers, decision trees (along with the advantages of training), and validation and testing sets. This module also shows you how to easily identify the best algorithms for different applications. MODULE 3: The Fundamentals and Applications of Deep Learning This module examines deep learning. It covers neural networks in depth as well as their applications in drug discovery and cancer research. You learn to run implementations on convolutions and deep and recurrent neural network algorithms while gaining an understanding of Python and artificial neurons. MODULE 4: Designing Artificial Machines To Solve Healthcare Problems Acquire a 360º approach to design with an understanding of superhuman targets, software methodologies, tool development, research, ethical responsibilities, and possible challenges to these applications. Learn about the COUHES/IRB approval processes, formulate crowdsourcing data strategies, and understand the extraordinary intelligence used in AI products and services. MODULE 5: The Peloton Framework The peloton framework has helped facilitate applications such as modern ingestible robots. You gain a thorough understanding of this framework and develop your own ideas for ingestible robots to help solve healthcare problems. MODULE 6: Developments in Biomechatronics With AI Deep dive into advanced prosthetics, proprioception, prosthetics, and exoskeletons. Understand their history, research, development, and current limitations, and learn how communication is crucial for the development of some of them. MODULE 7: Frontiers for AI in Healthcare Identify the immediate challenges and possibilities in the field of healthcare technologies, including business applications, maintenance challenges, various sources of inspiration, the potentials of electromagnetic waves, and the use of RFID chips. In addition, you design and develop an AI product for healthcare. MODULE 1: The Stages of Designing an AI Product This module focuses on the four stages of designing an AI product. You learn how to identify the desired AI behavior, assess business and technical requirements, measure value, and generate a software development plan. In addition, you learn how to identify the long-term advantages of a product and analyze the three types of AI cancers and their impact. MODULE 5: The Peloton Framework The peloton framework has helped facilitate applications such as modern ingestible robots. You gain a thorough understanding of this framework and develop your own ideas for ingestible robots to help solve healthcare problems. MODULE 2: The Fundamentals and Applications of Machine Learning This module focuses on machine learning. You learn about the various algorithms, classifiers, decision trees (along with the advantages of training), and validation and testing sets. This module also shows you how to easily identify the best algorithms for different applications. MODULE 6: Developments in Biomechatronics With AI Deep dive into advanced prosthetics, proprioception, prosthetics, and exoskeletons. Understand their history, research, development, and current limitations, and learn how communication is crucial for the development of some of them. MODULE 3: The Fundamentals and Applications of Deep Learning This module examines deep learning. It covers neural networks in depth as well as their applications in drug discovery and cancer research. You learn to run implementations on convolutions and deep and recurrent neural network algorithms while gaining an understanding of Python and artificial neurons. MODULE 7: Frontiers for AI in Healthcare Identify the immediate challenges and possibilities in the field of healthcare technologies, including business applications, maintenance challenges, various sources of inspiration, the potentials of electromagnetic waves, and the use of RFID chips. In addition, you design and develop an AI product for healthcare. MODULE 4: Designing Artificial Machines To Solve Healthcare Problems Acquire a 360º approach to design with an understanding of superhuman targets, software methodologies, tool development, research, ethical responsibilities, and possible challenges to these applications. Learn about the COUHES/IRB approval processes, formulate crowdsourcing data strategies, and understand the extraordinary intelligence used in AI products and services. CASE STUDIES AND RESEARCH GENERATIVE ADVERSARIAL NETWORKS (GANS) BY ELAZER EDELMAN Through this research, identify how to generate realistic-looking images of the heart that can be instrumental for cardiologists in diagnoses and treatment. AI TO IDENTIFY GENETIC PREDISPOSITION TO DISEASES BY MANOLIS KELLIS From this research, you learn about “Gencode”—the attempt at creating an encyclopedia of genes and genetic variants. GRAPH NEURAL NETWORKS (GNNS) BY JAMES COLLINS, TOMMI JAAKKOLA, AND REGINA BARZILAY This research contains a useful tool for antibiotic discovery that can aid you in your own drug discovery. MAMMOGRAMS FOR EARLY DIAGNOSIS OF BREAST CANCER IN WOMEN BY REGINA BARZILAY Through this research, learn how to use an image-based, deep learning model that can predict breast cancer up to five years in advance. DEVELOPING BIONIC PARTS USING AI BY HUGH HERR From this research, you learn how to create bionic limbs that emulate the function of natural limbs. ELECTROMAGNETIC WAVES (WI-FI) FOR ADHERENCE-RELATED PROBLEMS BY DINA KATABI AND FADEL ABIB From this case study, you learn how the instrument named Emerald functions. It measures sleep stages, gait speed and mobility, human pose estimation, and adherence. BIOPHARMACEUTICAL VISUAL INSPECTION (E.G., INJECTIONS) USING DEEP LEARNING BY BRUCE LAWLER From this research, learn how Bruce Lawler makes great strides in his goal to find the shortest path from data to impact. Load more FACULTY > BRUCE LAWLER > > Managing Director, MIT Machine Intelligence for Manufacturing and Operations > (MIMO) > > Bruce Lawler is a technology entrepreneur and an executive leader. He has > developed several applications across platforms, such as mobile, SaaS, AI, and > video distribution networks... More info > BRIAN SUBIRANA > > Former Director of MIT Auto-ID lab, MIT > > Brian Subirana has taught at MIT Sloan and the MIT School of Engineering and > is also the former director of the MIT Auto-ID lab and director of the MIT and > Accenture Convergence Initiative for Industry and Technology... More info > DUANE BONING > > Clarence J. Lebel Professor, Electrical Engineering and Computer Science > > Duane Boning is affiliated with the MIT Microsystems Technology Laboratories > and serves as associate director of machine learning and statistical methods > for modeling and control of variation in manufacturing... More info slide-faculty-member-2828 slide-faculty-member-2826 slide-faculty-member-2827 > BRUCE LAWLER > > Managing Director, MIT Machine Intelligence for Manufacturing and Operations > (MIMO) > > Bruce Lawler is a technology entrepreneur and an executive leader. He has > developed several applications across platforms, such as mobile, SaaS, AI, and > video distribution networks. He has headed multiple ventures in fields ranging > from consumer and industrial hardware to wireless and video network > operations. As the managing director of MIT MIMO, Lawler focuses on resolving > the data and operational challenges in manufacturing with measurable and > impactful efficiency and revenue improvement. > > Professor Lawler earned his bachelor’s in engineering at Purdue University and > his master’s in engineering and MBA at MIT Sloan School of Management. > BRIAN SUBIRANA > > Former Director of MIT Auto-ID lab, MIT > > Brian Subirana has taught at MIT Sloan and the MIT School of Engineering and > is also the former director of the MIT Auto-ID lab and director of the MIT and > Accenture Convergence Initiative for Industry and Technology. He is the > faculty director for this program. His research centers on IoT and AI and > focuses on manufacturing, e-learning, the creative industries, and digital > health. He is developing a voice name system that can help humans talk to any > object in an IoT environment. He has over 200 publications, including three > books, and is currently researching open standards for AI and IoT. > > Professor Subirana earned his doctorate in computer vision at the MIT > Artificial Intelligence Laboratory (now CSAIL) and his MBA at MIT Sloan. > DUANE BONING > > Clarence J. Lebel Professor, Electrical Engineering and Computer Science > > Duane Boning is affiliated with the MIT Microsystems Technology Laboratories > and serves as associate director of machine learning and statistical methods > for modeling and control of variation in manufacturing. His work is centered > on statistical characterization and design for the manufacture of devices and > circuits in advanced technologies as well as on the modeling of chemical and > mechanical polishing, spin-on coatings, plasma etching, and > nano-imprinting/embossing processes. His work has appeared in over 280 > journals and conference publications. > > Professor Boning earned his bachelor’s and master’s degrees in science and his > doctorate in electrical engineering and computer science at MIT. CERTIFICATE CERTIFICATE Upon successful completion of this program, MIT xPRO grants a certificate of completion to participants as well as four continuing education units (CEUs). This program is graded as a pass or fail; participants must receive 75% to pass and obtain the certificate of completion. Download Brochure After the successful completion of the program, your verified digital certificate will be emailed to you, at no additional cost, in the name you used when registering for the program. All certificate images are for illustrative purposes only and may be subject to change at the discretion of MIT xPRO. FAQS * The Program HOW DO I KNOW IF THIS PROGRAM IS RIGHT FOR ME? After reviewing the information on the program landing page, we recommend you submit the short form above to gain access to the program brochure, which includes more in-depth information. If you still have questions on whether this program is a good fit for you, please email learner.success@emeritus.org, and a dedicated program advisor will follow-up with you very shortly. ARE THERE ANY PREREQUISITES FOR THIS PROGRAM? Some programs do have prerequisites, particularly the more technical ones. This information will be noted on the program landing page, as well as in the program brochure. If you are uncertain about program prerequisites and your capabilities, please email us at the ID mentioned above. Note that, unless otherwise stated on the program web page, all programs are taught in English and proficiency in English is required. WHAT IS THE TYPICAL CLASS PROFILE? More than 50 percent of our participants are from outside the United States. Class profiles vary from one cohort to the next, but, generally, our online certificates draw a highly diverse audience in terms of professional experience, industry, and geography — leading to a very rich peer learning and networking experience. WHAT OTHER DATES WILL THIS PROGRAM BE OFFERED IN THE FUTURE? Check back to this program web page or email us to inquire if future program dates or the timeline for future offerings have been confirmed yet. * The Learning Experience HOW MUCH TIME IS REQUIRED EACH WEEK? Each program includes an estimated learner effort per week. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page. HOW WILL MY TIME BE SPENT? We have designed this program to fit into your current working life as efficiently as possible. Time will be spent among a variety of activities including: * Engaging with recorded video lectures from faculty * Attending webinars and office hours, as per the specific program schedule * Reading or engaging with examples of core topics * Completing knowledge checks/quizzes and required activities * Engaging in moderated discussion groups with your peers * Completing your final project, if required The program is designed to be highly interactive while also allowing time for self-reflection and to demonstrate an understanding of the core topics through various active learning exercises. Please email us if you need further clarification on program activities. WHAT IS IT LIKE TO LEARN ONLINE WITH THE LEARNING COLLABORATOR, EMERITUS? More than 300,000 learners across 200 countries have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded. All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner the cost of which is already included in the overall course fee of the course. A dedicated program support team is available 24/5 (Monday to Friday) to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience. HOW DO I INTERACT WITH OTHER PROGRAM PARTICIPANTS? Peer learning adds substantially to the overall learning experience and is an important part of the program. You can connect and communicate with other participants through our learning platform. * Certification WHAT ARE THE REQUIREMENTS TO EARN THE CERTIFICATE? Each program includes an estimated learner effort per week, so you can gauge what will be required before you enroll. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page. All programs are designed to fit into your working life. This program is scored as a pass or no-pass; participants must complete the required activities to pass and obtain the certificate of completion. Some programs include a final project submission or other assignments to obtain passing status. This information will be noted in the program brochure. Please email us if you need further clarification on any specific program requirements. WHAT TYPE OF CERTIFICATE WILL I RECEIVE? Upon successful completion of the program, you will receive a smart digital certificate. The smart digital certificate can be shared with friends, family, schools, or potential employers. You can use it on your cover letter, resume, and/or display it on your LinkedIn profile. The digital certificate will be sent approximately two weeks after the program, once grading is complete. CAN I GET THE HARD COPY OF THE CERTIFICATE? No, only verified digital certificates will be issued upon successful completion. This allows you to share your credentials on social platforms such as LinkedIn, Facebook, and Twitter. DO I RECEIVE ALUMNI STATUS AFTER COMPLETING THIS PROGRAM? No, there is no alumni status granted for this program. In some cases, there are credits that count toward a higher level of certification. This information will be clearly noted in the program brochure. HOW LONG WILL I HAVE ACCESS TO THE LEARNING MATERIALS? You will have access to the online learning platform and all the videos and program materials for 12 months following the program start date. Access to the learning platform is restricted to registered participants per the terms of agreement. * Technical Requirements WHAT EQUIPMENT OR TECHNICAL REQUIREMENTS ARE THERE FOR THIS PROGRAM? Participants will need the latest version of their preferred browser to access the learning platform. In addition, Microsoft Office and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files, and transcripts. DO I NEED TO BE ONLINE TO ACCESS THE PROGRAM CONTENT? Yes, the learning platform is accessed via the internet, and video content is not available for download. However, you can download files of video transcripts, assignment templates, readings, etc. For maximum flexibility, you can access program content from a desktop, laptop, tablet, or mobile device. Video lectures must be streamed via the internet, and any livestream webinars and office hours will require an internet connection. However, these sessions are always recorded, so you may view them later. * Payment Process CAN I STILL REGISTER IF THE REGISTRATION DEADLINE HAS PASSED? Yes, you can register up until seven days past the published start date of the program without missing any of the core program material or learnings. WHAT IS THE PROGRAM FEE, AND WHAT FORMS OF PAYMENT DO YOU ACCEPT? The program fee is noted at the top of this program web page and usually referenced in the program brochure as well. * Flexible payment options are available (see details below as well as at the top of this program web page next to FEE). * Tuition assistance is available for participants who qualify. Please email learner.success@emeritus.org. WHAT IF I DON’T HAVE A CREDIT CARD? IS THERE ANOTHER METHOD OF PAYMENT ACCEPTED? Yes, you can do the bank remittance in the program currency via wire transfer or debit card. Please contact your program advisor, or email us for details. I WAS NOT ABLE TO USE THE DISCOUNT CODE PROVIDED. CAN YOU HELP? Yes! Please email us with the details of the program you are interested in, and we will assist you. HOW CAN I OBTAIN AN INVOICE FOR PAYMENT? Please email us your invoicing requirements and the specific program you’re interested in enrolling in. IS THERE AN OPTION TO MAKE FLEXIBLE PAYMENTS FOR THIS PROGRAM? Yes, the flexible payment option allows a participant to pay the program fee in installments. This option is made available on the payment page and should be selected before submitting the payment. HOW CAN I OBTAIN A W9 FORM? Please connect with us via email for assistance. * Refund Policy WHAT IS THE POLICY ON REFUNDS AND WITHDRAWALS? You may request a full refund within seven days of your payment or 14 days after the published start date of the program, whichever comes later. If your enrollment had previously been deferred, you will not be entitled to a refund. Partial (or pro-rated) refunds are not offered. All withdrawal and refund requests should be sent to admissions@emeritus.org. WHAT IS THE POLICY ON DEFERRALS? After the published start date of the program, you have until the midpoint of the program to request to defer to a future cohort of the same program. A deferral request must be submitted along with a specified reason and explanation. Cohort changes may be made only once per enrollment and are subject to availability of other cohorts scheduled at our discretion. This will not be applicable for deferrals within the refund period, and the limit of one deferral per enrollment remains. All deferral requests should be sent to admissions@emeritus.org. Didn't find what you were looking for? Write to us at learner.success@emeritus.org or Schedule a call with one of our Academic Advisors or call us at +1 401 443 9591 (US) / + 44 189 236 2347 (UK) / +65 3129 7174 (SG) Apply Now EARLY REGISTRATIONS ARE ENCOURAGED. SEATS FILL UP QUICKLY! Flexible payment options available. Learn more. MIT xPRO is collaborating with online education provider Emeritus to offer a portfolio of high-impact programs. These programs leverage MIT xPRO's thought leadership in technology and management developed over years of research, teaching, and practice. Accessibility