{"id":"cbcc7924-5ae7-40e2-9366-b67fa01e4e62","title":"Natural Language Processing: Applied — Implementation at Work","description":"Natural Language Processing: Applied — Implementation at Work is an applied course for career starters and switchers aged 25–34. Across 9 lessons and about 31 hours, the curriculum focuses on core concepts and mental models, model training and iteration and tools, setup, and learning environment. The final output is a reusable applied AI prototype built with tokenization, embeddings and transformers.","contentLanguage":"en","coverUrl":"/course-covers/natural-language-processing-applied-implementation-a-21b8d266-676.webp","createdAt":"2026-05-26T07:46:09.180Z","updatedAt":"2026-05-26T07:51:44.971Z","durationSeconds":111600,"authorId":"cbf3f35b-7a4b-4aab-975d-d03f3ef192fd","rating":4.428571428571429,"reviewCount":7,"expectedLessonsCount":9,"trailerUrl":null,"faq":[{"answer":"Familiarity with machine learning basics is recommended. The course starts with a clear ramp-up and then moves into implementation at work.","question":"Do I need prior experience?"},{"answer":"A comfortable pace is 6–8 hours per week. In total, the course includes 9 lessons and about 31 hours of guided study.","question":"How much time should I set aside each week?"},{"answer":"You will finish with a applied AI prototype plus reusable materials built around tokenization, embeddings and transformers.","question":"What will I finish the course with?"}],"learningOutcomes":null,"requirements":null,"levels":["advanced"],"firstLessonFreePreviewEnabled":false,"certificateEnabled":true,"isPlatformCourse":false,"pricingTiers":[{"id":"standard","name":"Standard","price":149,"features":[],"highlighted":true}],"minPricingTierPrice":149,"bonuses":[],"status":"READY","archivedAt":null,"categoryId":"869af918-d185-46b9-84fe-8c771c9f7b29","lessons":[{"id":"273cf8bf-7570-4de6-a55a-f7bebec811da","title":"Natural Language Processing: Applied — Implementation at Work — course orientation and outcomes","description":"Lesson 1 of 9 in Natural Language Processing: Applied — Implementation at Work: work through course orientation and outcomes in the context of Natural Language Processing, and turn the result into a reusable part of the final applied AI prototype using tokenization and embeddings.","videoUrl":null,"videoFileName":null,"duration":12400,"position":0,"createdAt":"2026-05-26T07:46:09.180Z","updatedAt":"2026-05-26T07:46:09.180Z","courseId":"cbcc7924-5ae7-40e2-9366-b67fa01e4e62","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"1ebf2876-47b2-4d20-af89-ba92d420290c","title":"Natural Language Processing: Applied — Implementation at Work — core concepts and mental models","description":"Lesson 2 of 9 in Natural Language Processing: Applied — Implementation at Work: work through core concepts and mental models in the context of Natural Language Processing, and turn the result into a reusable part of the final applied AI prototype using tokenization and embeddings.","videoUrl":null,"videoFileName":null,"duration":12400,"position":1,"createdAt":"2026-05-26T07:46:09.180Z","updatedAt":"2026-05-26T07:46:09.180Z","courseId":"cbcc7924-5ae7-40e2-9366-b67fa01e4e62","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"68746918-be71-4f94-a020-aee6de578441","title":"Natural Language Processing: Applied — Implementation at Work — model training and iteration","description":"Lesson 3 of 9 in Natural Language Processing: Applied — Implementation at Work: work through model training and iteration in the context of Natural Language Processing, and turn the result into a reusable part of the final applied AI prototype using tokenization and embeddings.","videoUrl":null,"videoFileName":null,"duration":12400,"position":2,"createdAt":"2026-05-26T07:46:09.180Z","updatedAt":"2026-05-26T07:46:09.180Z","courseId":"cbcc7924-5ae7-40e2-9366-b67fa01e4e62","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"943322fa-d77d-42d7-beaa-0eebed6e70fe","title":"Natural Language Processing: Applied — Implementation at Work — tools, setup, and learning environment","description":"Lesson 4 of 9 in Natural Language Processing: Applied — Implementation at Work: work through tools, setup, and learning environment in the context of Natural Language Processing, and turn the result into a reusable part of the final applied AI prototype using tokenization and embeddings.","videoUrl":null,"videoFileName":null,"duration":12400,"position":3,"createdAt":"2026-05-26T07:46:09.180Z","updatedAt":"2026-05-26T07:46:09.180Z","courseId":"cbcc7924-5ae7-40e2-9366-b67fa01e4e62","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"f8dabe0b-acfc-458f-a5fe-d06113f8b087","title":"Natural Language Processing: Applied — Implementation at Work — real cases and guided practice","description":"Lesson 5 of 9 in Natural Language Processing: Applied — Implementation at Work: work through real cases and guided practice in the context of Natural Language Processing, and turn the result into a reusable part of the final applied AI prototype using tokenization and embeddings.","videoUrl":null,"videoFileName":null,"duration":12400,"position":4,"createdAt":"2026-05-26T07:46:09.180Z","updatedAt":"2026-05-26T07:46:09.180Z","courseId":"cbcc7924-5ae7-40e2-9366-b67fa01e4e62","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"3949f4a3-1202-4801-be24-56c8142e4c15","title":"Natural Language Processing: Applied — Implementation at Work — evaluation, quality, and safety","description":"Lesson 6 of 9 in Natural Language Processing: Applied — Implementation at Work: work through evaluation, quality, and safety in the context of Natural Language Processing, and turn the result into a reusable part of the final applied AI prototype using tokenization and embeddings.","videoUrl":null,"videoFileName":null,"duration":12400,"position":5,"createdAt":"2026-05-26T07:46:09.180Z","updatedAt":"2026-05-26T07:46:09.180Z","courseId":"cbcc7924-5ae7-40e2-9366-b67fa01e4e62","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"4af9345d-8bb1-4e36-8837-7b673969c48a","title":"Natural Language Processing: Applied — Implementation at Work — project build and review","description":"Lesson 7 of 9 in Natural Language Processing: Applied — Implementation at Work: work through project build and review in the context of Natural Language Processing, and turn the result into a reusable part of the final applied AI prototype using tokenization and embeddings.","videoUrl":null,"videoFileName":null,"duration":12400,"position":6,"createdAt":"2026-05-26T07:46:09.180Z","updatedAt":"2026-05-26T07:46:09.180Z","courseId":"cbcc7924-5ae7-40e2-9366-b67fa01e4e62","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"6fda4b60-91f0-40f1-b59c-e2882c3305d0","title":"Natural Language Processing: Applied — Implementation at Work — metrics, quality, and decision criteria","description":"Lesson 8 of 9 in Natural Language Processing: Applied — Implementation at Work: work through metrics, quality, and decision criteria in the context of Natural Language Processing, and turn the result into a reusable part of the final applied AI prototype using tokenization and embeddings.","videoUrl":null,"videoFileName":null,"duration":12400,"position":7,"createdAt":"2026-05-26T07:46:09.180Z","updatedAt":"2026-05-26T07:46:09.180Z","courseId":"cbcc7924-5ae7-40e2-9366-b67fa01e4e62","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"e1cb9736-168c-44e2-b159-1ddca3fa00a6","title":"Natural Language Processing: Applied — Implementation at Work — implementation, handoff, and next steps","description":"Lesson 9 of 9 in Natural Language Processing: Applied — Implementation at Work: work through implementation, handoff, and next steps in the context of Natural Language Processing, and turn the result into a reusable part of the final applied AI prototype using tokenization and embeddings.","videoUrl":null,"videoFileName":null,"duration":12400,"position":8,"createdAt":"2026-05-26T07:46:09.180Z","updatedAt":"2026-05-26T07:46:09.180Z","courseId":"cbcc7924-5ae7-40e2-9366-b67fa01e4e62","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null}],"author":{"id":"cbf3f35b-7a4b-4aab-975d-d03f3ef192fd","name":"Nicholas Cooper","avatarUrl":"https://lernrise.com/public/avatars/teacher-avatars/en/38d4b29d-a8a3-4687-8496-9e986f184f76.webp","bio":null,"socialLinks":null,"isPlatformRepresentative":false},"hasTeamOffer":false,"teamOfferSummary":null}