{"id":"36d249ca-fd67-456f-8f8d-5d3bceb3c13f","title":"Natural Language Processing: Starter — Quick Start","description":"Natural Language Processing: Starter — Quick Start is a starter course for career starters and switchers aged 25–34. Across 6 lessons and about 20 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-starter-quick-start-ecbabd07-fed.webp","createdAt":"2026-05-26T07:46:17.298Z","updatedAt":"2026-05-26T07:51:45.055Z","durationSeconds":72000,"authorId":"682f9361-05da-43c3-8134-a28592b3e2ff","rating":4.666666666666667,"reviewCount":6,"expectedLessonsCount":6,"trailerUrl":null,"faq":[{"answer":"Familiarity with machine learning basics is recommended. The course starts with a clear ramp-up and then moves into quick start.","question":"Do I need prior experience?"},{"answer":"A comfortable pace is 4–6 hours per week. In total, the course includes 6 lessons and about 20 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":99,"features":[],"highlighted":true}],"minPricingTierPrice":99,"bonuses":[],"status":"READY","archivedAt":null,"categoryId":"869af918-d185-46b9-84fe-8c771c9f7b29","lessons":[{"id":"90daa47b-37f8-4170-bad1-4610f31f4cf8","title":"Natural Language Processing: Starter — Quick Start — course orientation and outcomes","description":"Lesson 1 of 6 in Natural Language Processing: Starter — Quick Start: 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":12000,"position":0,"createdAt":"2026-05-26T07:46:17.298Z","updatedAt":"2026-05-26T07:46:17.298Z","courseId":"36d249ca-fd67-456f-8f8d-5d3bceb3c13f","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"8e90832f-1970-44ca-8d8e-53040e8f8ddf","title":"Natural Language Processing: Starter — Quick Start — core concepts and mental models","description":"Lesson 2 of 6 in Natural Language Processing: Starter — Quick Start: 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":12000,"position":1,"createdAt":"2026-05-26T07:46:17.298Z","updatedAt":"2026-05-26T07:46:17.298Z","courseId":"36d249ca-fd67-456f-8f8d-5d3bceb3c13f","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"2719dbff-29a6-44fc-90cf-09ee03476189","title":"Natural Language Processing: Starter — Quick Start — model training and iteration","description":"Lesson 3 of 6 in Natural Language Processing: Starter — Quick Start: 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":12000,"position":2,"createdAt":"2026-05-26T07:46:17.298Z","updatedAt":"2026-05-26T07:46:17.298Z","courseId":"36d249ca-fd67-456f-8f8d-5d3bceb3c13f","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"bb6da56e-02a0-4e70-9481-7bfbcf8a009b","title":"Natural Language Processing: Starter — Quick Start — tools, setup, and learning environment","description":"Lesson 4 of 6 in Natural Language Processing: Starter — Quick Start: 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":12000,"position":3,"createdAt":"2026-05-26T07:46:17.298Z","updatedAt":"2026-05-26T07:46:17.298Z","courseId":"36d249ca-fd67-456f-8f8d-5d3bceb3c13f","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"ceda1283-b8bf-4217-a23d-fba49dc2b248","title":"Natural Language Processing: Starter — Quick Start — evaluation, quality, and safety","description":"Lesson 5 of 6 in Natural Language Processing: Starter — Quick Start: 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":12000,"position":4,"createdAt":"2026-05-26T07:46:17.298Z","updatedAt":"2026-05-26T07:46:17.298Z","courseId":"36d249ca-fd67-456f-8f8d-5d3bceb3c13f","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"515bfd90-a9bb-47b3-be47-ca1338927012","title":"Natural Language Processing: Starter — Quick Start — project build and review","description":"Lesson 6 of 6 in Natural Language Processing: Starter — Quick Start: 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":12000,"position":5,"createdAt":"2026-05-26T07:46:17.298Z","updatedAt":"2026-05-26T07:46:17.298Z","courseId":"36d249ca-fd67-456f-8f8d-5d3bceb3c13f","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null}],"author":{"id":"682f9361-05da-43c3-8134-a28592b3e2ff","name":"Henry Harper","avatarUrl":"https://lernrise.com/public/avatars/teacher-avatars/en/8bb63bb7-9c17-413f-a5b4-7aa2a73f01df.webp","bio":null,"socialLinks":null,"isPlatformRepresentative":false},"hasTeamOffer":false,"teamOfferSummary":null}