Content File List
Viewset for ContentFiles
GET /api/v1/contentfiles/?format=api&offered_by=xpro&offset=13420
{ "count": 14067, "next": "https://api.learn.mit.edu/api/v1/contentfiles/?format=api&limit=10&offered_by=xpro&offset=13430", "previous": "https://api.learn.mit.edu/api/v1/contentfiles/?format=api&limit=10&offered_by=xpro&offset=13410", "results": [ { "id": 17068056, "run_id": 7523, "run_title": "Applying Machine Learning to Engineering and Science", "run_slug": null, "departments": [], "semester": null, "year": null, "topics": [ { "id": 698, "name": "Data Science, Analytics & Computer Technology", "icon": "RiLineChartLine", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/data-science-analytics-computer-technology/" }, { "id": 684, "name": "Business & Management", "icon": "RiBriefcase3Line", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/business-management/" }, { "id": 696, "name": "Digital Business & IT", "icon": "RiBriefcase3Line", "parent": 684, "channel_url": "https://learn.mit.edu/c/topic/digital-business-it/" }, { "id": 699, "name": "AI", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/ai/" }, { "id": 708, "name": "Machine Learning", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/machine-learning/" }, { "id": 711, "name": "Data Science", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/data-science/" }, { "id": 747, "name": "Engineering", "icon": "RiRobot2Line", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/engineering/" } ], "key": "asset-v1:xPRO+MLx2+R13+type@asset+block@b1728492-00ca-4cfe-ba7d-9898b3e00e0a-en.srt", "uid": null, "title": null, "description": null, "require_summaries": false, "url": "https://courses.xpro.mit.edu/asset-v1:xPRO+MLx2+R13+type@asset+block@b1728492-00ca-4cfe-ba7d-9898b3e00e0a-en.srt", "content_feature_type": [], "content_type": "file", "content_title": "", "content_author": null, "content_language": null, "checksum": "24ee3fdc2039aa5666bc5bbc021a4d70", "image_src": null, "resource_id": "2696", "resource_readable_id": "course-v1:xPRO+MLx2", "course_number": [ "course-v1:xPRO+MLx2" ], "file_type": null, "file_extension": ".srt", "offered_by": { "code": "xpro", "name": "MIT xPRO", "channel_url": "https://learn.mit.edu/c/unit/xpro/" }, "platform": { "code": "xpro", "name": "MIT xPRO" }, "run_readable_id": "course-v1:xPRO+MLx2+R13", "edx_module_id": "asset-v1:xPRO+MLx2+R13+type@asset+block@b1728492-00ca-4cfe-ba7d-9898b3e00e0a-en.srt", "summary": "", "flashcards": [] }, { "id": 17068055, "run_id": 7523, "run_title": "Applying Machine Learning to Engineering and Science", "run_slug": null, "departments": [], "semester": null, "year": null, "topics": [ { "id": 698, "name": "Data Science, Analytics & Computer Technology", "icon": "RiLineChartLine", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/data-science-analytics-computer-technology/" }, { "id": 684, "name": "Business & Management", "icon": "RiBriefcase3Line", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/business-management/" }, { "id": 696, "name": "Digital Business & IT", "icon": "RiBriefcase3Line", "parent": 684, "channel_url": "https://learn.mit.edu/c/topic/digital-business-it/" }, { "id": 699, "name": "AI", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/ai/" }, { "id": 708, "name": "Machine Learning", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/machine-learning/" }, { "id": 711, "name": "Data Science", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/data-science/" }, { "id": 747, "name": "Engineering", "icon": "RiRobot2Line", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/engineering/" } ], "key": "asset-v1:xPRO+MLx2+R13+type@asset+block@affff26b-a105-467d-af44-a1ba6ce2ae74-en.srt", "uid": null, "title": null, "description": null, "require_summaries": false, "url": "https://courses.xpro.mit.edu/asset-v1:xPRO+MLx2+R13+type@asset+block@affff26b-a105-467d-af44-a1ba6ce2ae74-en.srt", "content_feature_type": [], "content_type": "file", "content_title": "", "content_author": null, "content_language": null, "checksum": "893a8e932a49d486fea16713a0bfd834", "image_src": null, "resource_id": "2696", "resource_readable_id": "course-v1:xPRO+MLx2", "course_number": [ "course-v1:xPRO+MLx2" ], "file_type": null, "file_extension": ".srt", "offered_by": { "code": "xpro", "name": "MIT xPRO", "channel_url": "https://learn.mit.edu/c/unit/xpro/" }, "platform": { "code": "xpro", "name": "MIT xPRO" }, "run_readable_id": "course-v1:xPRO+MLx2+R13", "edx_module_id": "asset-v1:xPRO+MLx2+R13+type@asset+block@affff26b-a105-467d-af44-a1ba6ce2ae74-en.srt", "summary": "", "flashcards": [] }, { "id": 17068054, "run_id": 7523, "run_title": "Applying Machine Learning to Engineering and Science", "run_slug": null, "departments": [], "semester": null, "year": null, "topics": [ { "id": 698, "name": "Data Science, Analytics & Computer Technology", "icon": "RiLineChartLine", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/data-science-analytics-computer-technology/" }, { "id": 684, "name": "Business & Management", "icon": "RiBriefcase3Line", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/business-management/" }, { "id": 696, "name": "Digital Business & IT", "icon": "RiBriefcase3Line", "parent": 684, "channel_url": "https://learn.mit.edu/c/topic/digital-business-it/" }, { "id": 699, "name": "AI", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/ai/" }, { "id": 708, "name": "Machine Learning", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/machine-learning/" }, { "id": 711, "name": "Data Science", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/data-science/" }, { "id": 747, "name": "Engineering", "icon": "RiRobot2Line", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/engineering/" } ], "key": "asset-v1:xPRO+MLx2+R13+type@asset+block@aee06a6e-81f5-439e-8059-4b21c46e32e3-en.srt", "uid": null, "title": null, "description": null, "require_summaries": false, "url": "https://courses.xpro.mit.edu/asset-v1:xPRO+MLx2+R13+type@asset+block@aee06a6e-81f5-439e-8059-4b21c46e32e3-en.srt", "content_feature_type": [], "content_type": "file", "content_title": "", "content_author": null, "content_language": null, "checksum": "a48d3cecd08f05475e94741e34c2d98e", "image_src": null, "resource_id": "2696", "resource_readable_id": "course-v1:xPRO+MLx2", "course_number": [ "course-v1:xPRO+MLx2" ], "file_type": null, "file_extension": ".srt", "offered_by": { "code": "xpro", "name": "MIT xPRO", "channel_url": "https://learn.mit.edu/c/unit/xpro/" }, "platform": { "code": "xpro", "name": "MIT xPRO" }, "run_readable_id": "course-v1:xPRO+MLx2+R13", "edx_module_id": "asset-v1:xPRO+MLx2+R13+type@asset+block@aee06a6e-81f5-439e-8059-4b21c46e32e3-en.srt", "summary": "", "flashcards": [] }, { "id": 17068053, "run_id": 7523, "run_title": "Applying Machine Learning to Engineering and Science", "run_slug": null, "departments": [], "semester": null, "year": null, "topics": [ { "id": 698, "name": "Data Science, Analytics & Computer Technology", "icon": "RiLineChartLine", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/data-science-analytics-computer-technology/" }, { "id": 684, "name": "Business & Management", "icon": "RiBriefcase3Line", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/business-management/" }, { "id": 696, "name": "Digital Business & IT", "icon": "RiBriefcase3Line", "parent": 684, "channel_url": "https://learn.mit.edu/c/topic/digital-business-it/" }, { "id": 699, "name": "AI", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/ai/" }, { "id": 708, "name": "Machine Learning", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/machine-learning/" }, { "id": 711, "name": "Data Science", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/data-science/" }, { "id": 747, "name": "Engineering", "icon": "RiRobot2Line", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/engineering/" } ], "key": "asset-v1:xPRO+MLx2+R13+type@asset+block@acscentsci.0c00026.pdf", "uid": null, "title": null, "description": null, "require_summaries": false, "url": "https://courses.xpro.mit.edu/asset-v1:xPRO+MLx2+R13+type@asset+block@acscentsci.0c00026.pdf", "content_feature_type": [], "content_type": "file", "content_title": "", "content_author": null, "content_language": null, "checksum": "0a8c4136de654e2de10ad99417c392b2", "image_src": null, "resource_id": "2696", "resource_readable_id": "course-v1:xPRO+MLx2", "course_number": [ "course-v1:xPRO+MLx2" ], "file_type": null, "file_extension": ".pdf", "offered_by": { "code": "xpro", "name": "MIT xPRO", "channel_url": "https://learn.mit.edu/c/unit/xpro/" }, "platform": { "code": "xpro", "name": "MIT xPRO" }, "run_readable_id": "course-v1:xPRO+MLx2+R13", "edx_module_id": "asset-v1:xPRO+MLx2+R13+type@asset+block@acscentsci.0c00026.pdf", "summary": "", "flashcards": [] }, { "id": 17068052, "run_id": 7523, "run_title": "Applying Machine Learning to Engineering and Science", "run_slug": null, "departments": [], "semester": null, "year": null, "topics": [ { "id": 698, "name": "Data Science, Analytics & Computer Technology", "icon": "RiLineChartLine", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/data-science-analytics-computer-technology/" }, { "id": 684, "name": "Business & Management", "icon": "RiBriefcase3Line", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/business-management/" }, { "id": 696, "name": "Digital Business & IT", "icon": "RiBriefcase3Line", "parent": 684, "channel_url": "https://learn.mit.edu/c/topic/digital-business-it/" }, { "id": 699, "name": "AI", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/ai/" }, { "id": 708, "name": "Machine Learning", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/machine-learning/" }, { "id": 711, "name": "Data Science", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/data-science/" }, { "id": 747, "name": "Engineering", "icon": "RiRobot2Line", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/engineering/" } ], "key": "asset-v1:xPRO+MLx2+R13+type@asset+block@acs.accounts.0c00686.pdf", "uid": null, "title": null, "description": null, "require_summaries": false, "url": "https://courses.xpro.mit.edu/asset-v1:xPRO+MLx2+R13+type@asset+block@acs.accounts.0c00686.pdf", "content_feature_type": [], "content_type": "file", "content_title": "", "content_author": null, "content_language": null, "checksum": "8e2e916f3954020fe8bb397cd1f865e1", "image_src": null, "resource_id": "2696", "resource_readable_id": "course-v1:xPRO+MLx2", "course_number": [ "course-v1:xPRO+MLx2" ], "file_type": null, "file_extension": ".pdf", "offered_by": { "code": "xpro", "name": "MIT xPRO", "channel_url": "https://learn.mit.edu/c/unit/xpro/" }, "platform": { "code": "xpro", "name": "MIT xPRO" }, "run_readable_id": "course-v1:xPRO+MLx2+R13", "edx_module_id": "asset-v1:xPRO+MLx2+R13+type@asset+block@acs.accounts.0c00686.pdf", "summary": "", "flashcards": [] }, { "id": 17068051, "run_id": 7523, "run_title": "Applying Machine Learning to Engineering and Science", "run_slug": null, "departments": [], "semester": null, "year": null, "topics": [ { "id": 698, "name": "Data Science, Analytics & Computer Technology", "icon": "RiLineChartLine", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/data-science-analytics-computer-technology/" }, { "id": 684, "name": "Business & Management", "icon": "RiBriefcase3Line", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/business-management/" }, { "id": 696, "name": "Digital Business & IT", "icon": "RiBriefcase3Line", "parent": 684, "channel_url": "https://learn.mit.edu/c/topic/digital-business-it/" }, { "id": 699, "name": "AI", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/ai/" }, { "id": 708, "name": "Machine Learning", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/machine-learning/" }, { "id": 711, "name": "Data Science", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/data-science/" }, { "id": 747, "name": "Engineering", "icon": "RiRobot2Line", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/engineering/" } ], "key": "asset-v1:xPRO+MLx2+R13+type@asset+block@ab6fd3b4-6e07-4efb-9f77-72c64df7ce92-en.srt", "uid": null, "title": null, "description": null, "require_summaries": false, "url": "https://courses.xpro.mit.edu/asset-v1:xPRO+MLx2+R13+type@asset+block@ab6fd3b4-6e07-4efb-9f77-72c64df7ce92-en.srt", "content_feature_type": [], "content_type": "file", "content_title": "", "content_author": null, "content_language": null, "checksum": "1067f8e7b1df2f16b33ed25709683f1d", "image_src": null, "resource_id": "2696", "resource_readable_id": "course-v1:xPRO+MLx2", "course_number": [ "course-v1:xPRO+MLx2" ], "file_type": null, "file_extension": ".srt", "offered_by": { "code": "xpro", "name": "MIT xPRO", "channel_url": "https://learn.mit.edu/c/unit/xpro/" }, "platform": { "code": "xpro", "name": "MIT xPRO" }, "run_readable_id": "course-v1:xPRO+MLx2+R13", "edx_module_id": "asset-v1:xPRO+MLx2+R13+type@asset+block@ab6fd3b4-6e07-4efb-9f77-72c64df7ce92-en.srt", "summary": "", "flashcards": [] }, { "id": 17068050, "run_id": 7523, "run_title": "Applying Machine Learning to Engineering and Science", "run_slug": null, "departments": [], "semester": null, "year": null, "topics": [ { "id": 698, "name": "Data Science, Analytics & Computer Technology", "icon": "RiLineChartLine", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/data-science-analytics-computer-technology/" }, { "id": 684, "name": "Business & Management", "icon": "RiBriefcase3Line", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/business-management/" }, { "id": 696, "name": "Digital Business & IT", "icon": "RiBriefcase3Line", "parent": 684, "channel_url": "https://learn.mit.edu/c/topic/digital-business-it/" }, { "id": 699, "name": "AI", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/ai/" }, { "id": 708, "name": "Machine Learning", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/machine-learning/" }, { "id": 711, "name": "Data Science", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/data-science/" }, { "id": 747, "name": "Engineering", "icon": "RiRobot2Line", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/engineering/" } ], "key": "asset-v1:xPRO+MLx2+R13+type@asset+block@aa81aa19-667b-4246-8d2a-1db4c0bad0a8-en.srt", "uid": null, "title": null, "description": null, "require_summaries": false, "url": "https://courses.xpro.mit.edu/asset-v1:xPRO+MLx2+R13+type@asset+block@aa81aa19-667b-4246-8d2a-1db4c0bad0a8-en.srt", "content_feature_type": [], "content_type": "file", "content_title": "", "content_author": null, "content_language": null, "checksum": "1ad49b6e47d2d86382c24b539780ef9d", "image_src": null, "resource_id": "2696", "resource_readable_id": "course-v1:xPRO+MLx2", "course_number": [ "course-v1:xPRO+MLx2" ], "file_type": null, "file_extension": ".srt", "offered_by": { "code": "xpro", "name": "MIT xPRO", "channel_url": "https://learn.mit.edu/c/unit/xpro/" }, "platform": { "code": "xpro", "name": "MIT xPRO" }, "run_readable_id": "course-v1:xPRO+MLx2+R13", "edx_module_id": "asset-v1:xPRO+MLx2+R13+type@asset+block@aa81aa19-667b-4246-8d2a-1db4c0bad0a8-en.srt", "summary": "", "flashcards": [] }, { "id": 17068049, "run_id": 7523, "run_title": "Applying Machine Learning to Engineering and Science", "run_slug": null, "departments": [], "semester": null, "year": null, "topics": [ { "id": 698, "name": "Data Science, Analytics & Computer Technology", "icon": "RiLineChartLine", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/data-science-analytics-computer-technology/" }, { "id": 684, "name": "Business & Management", "icon": "RiBriefcase3Line", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/business-management/" }, { "id": 696, "name": "Digital Business & IT", "icon": "RiBriefcase3Line", "parent": 684, "channel_url": "https://learn.mit.edu/c/topic/digital-business-it/" }, { "id": 699, "name": "AI", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/ai/" }, { "id": 708, "name": "Machine Learning", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/machine-learning/" }, { "id": 711, "name": "Data Science", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/data-science/" }, { "id": 747, "name": "Engineering", "icon": "RiRobot2Line", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/engineering/" } ], "key": "asset-v1:xPRO+MLx2+R13+type@asset+block@a6d1ccde-322d-4d2d-8a36-86a62370fea6-en.srt", "uid": null, "title": null, "description": null, "require_summaries": false, "url": "https://courses.xpro.mit.edu/asset-v1:xPRO+MLx2+R13+type@asset+block@a6d1ccde-322d-4d2d-8a36-86a62370fea6-en.srt", "content_feature_type": [], "content_type": "file", "content_title": "", "content_author": null, "content_language": null, "checksum": "b515c58ba5be02a6458d6659f0855f30", "image_src": null, "resource_id": "2696", "resource_readable_id": "course-v1:xPRO+MLx2", "course_number": [ "course-v1:xPRO+MLx2" ], "file_type": null, "file_extension": ".srt", "offered_by": { "code": "xpro", "name": "MIT xPRO", "channel_url": "https://learn.mit.edu/c/unit/xpro/" }, "platform": { "code": "xpro", "name": "MIT xPRO" }, "run_readable_id": "course-v1:xPRO+MLx2+R13", "edx_module_id": "asset-v1:xPRO+MLx2+R13+type@asset+block@a6d1ccde-322d-4d2d-8a36-86a62370fea6-en.srt", "summary": "", "flashcards": [] }, { "id": 17068048, "run_id": 7523, "run_title": "Applying Machine Learning to Engineering and Science", "run_slug": null, "departments": [], "semester": null, "year": null, "topics": [ { "id": 698, "name": "Data Science, Analytics & Computer Technology", "icon": "RiLineChartLine", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/data-science-analytics-computer-technology/" }, { "id": 684, "name": "Business & Management", "icon": "RiBriefcase3Line", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/business-management/" }, { "id": 696, "name": "Digital Business & IT", "icon": "RiBriefcase3Line", "parent": 684, "channel_url": "https://learn.mit.edu/c/topic/digital-business-it/" }, { "id": 699, "name": "AI", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/ai/" }, { "id": 708, "name": "Machine Learning", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/machine-learning/" }, { "id": 711, "name": "Data Science", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/data-science/" }, { "id": 747, "name": "Engineering", "icon": "RiRobot2Line", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/engineering/" } ], "key": "asset-v1:xPRO+MLx2+R13+type@asset+block@a69ca425-9096-4dc4-a9bf-f0af9e3a5f32-en.srt", "uid": null, "title": null, "description": null, "require_summaries": false, "url": "https://courses.xpro.mit.edu/asset-v1:xPRO+MLx2+R13+type@asset+block@a69ca425-9096-4dc4-a9bf-f0af9e3a5f32-en.srt", "content_feature_type": [], "content_type": "file", "content_title": "", "content_author": null, "content_language": null, "checksum": "257a1f748b94148a72df96c1b6510b75", "image_src": null, "resource_id": "2696", "resource_readable_id": "course-v1:xPRO+MLx2", "course_number": [ "course-v1:xPRO+MLx2" ], "file_type": null, "file_extension": ".srt", "offered_by": { "code": "xpro", "name": "MIT xPRO", "channel_url": "https://learn.mit.edu/c/unit/xpro/" }, "platform": { "code": "xpro", "name": "MIT xPRO" }, "run_readable_id": "course-v1:xPRO+MLx2+R13", "edx_module_id": "asset-v1:xPRO+MLx2+R13+type@asset+block@a69ca425-9096-4dc4-a9bf-f0af9e3a5f32-en.srt", "summary": "", "flashcards": [] }, { "id": 17068047, "run_id": 7523, "run_title": "Applying Machine Learning to Engineering and Science", "run_slug": null, "departments": [], "semester": null, "year": null, "topics": [ { "id": 698, "name": "Data Science, Analytics & Computer Technology", "icon": "RiLineChartLine", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/data-science-analytics-computer-technology/" }, { "id": 684, "name": "Business & Management", "icon": "RiBriefcase3Line", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/business-management/" }, { "id": 696, "name": "Digital Business & IT", "icon": "RiBriefcase3Line", "parent": 684, "channel_url": "https://learn.mit.edu/c/topic/digital-business-it/" }, { "id": 699, "name": "AI", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/ai/" }, { "id": 708, "name": "Machine Learning", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/machine-learning/" }, { "id": 711, "name": "Data Science", "icon": "RiRobot2Line", "parent": 698, "channel_url": "https://learn.mit.edu/c/topic/data-science/" }, { "id": 747, "name": "Engineering", "icon": "RiRobot2Line", "parent": null, "channel_url": "https://learn.mit.edu/c/topic/engineering/" } ], "key": "asset-v1:xPRO+MLx2+R13+type@asset+block@a4277267-8d3a-45be-b7d9-4d627ac2c4d7-en.srt", "uid": null, "title": null, "description": null, "require_summaries": false, "url": "https://courses.xpro.mit.edu/asset-v1:xPRO+MLx2+R13+type@asset+block@a4277267-8d3a-45be-b7d9-4d627ac2c4d7-en.srt", "content_feature_type": [], "content_type": "file", "content_title": "", "content_author": null, "content_language": null, "checksum": "1a382c7da9bb0fb7ad9aa2770d3ffafe", "image_src": null, "resource_id": "2696", "resource_readable_id": "course-v1:xPRO+MLx2", "course_number": [ "course-v1:xPRO+MLx2" ], "file_type": null, "file_extension": ".srt", "offered_by": { "code": "xpro", "name": "MIT xPRO", "channel_url": "https://learn.mit.edu/c/unit/xpro/" }, "platform": { "code": "xpro", "name": "MIT xPRO" }, "run_readable_id": "course-v1:xPRO+MLx2+R13", "edx_module_id": "asset-v1:xPRO+MLx2+R13+type@asset+block@a4277267-8d3a-45be-b7d9-4d627ac2c4d7-en.srt", "summary": "", "flashcards": [] } ] }