{"url": "https://maven.com/p/951b08/build-your-first-quantum-support-vector-machine", "core": {"title": "Build your first quantum support vector machine", "slug": "951b08", "id": 7515, "page_type": "workshop", "description": "Support Vector Machines underpin kernel methods in classical ML and provide a clear gateway to quantum advantage. Their reliance on inner products maps naturally to quantum state overlaps. Implementing Quantum SVMs in Qiskit enables direct comparison with classical models, clarifying where quantum feature maps and kernel evaluations may offer meaningful gains.", "start_datetime": "2026-03-03T16:00:00Z", "duration_min": 45, "is_recording_public": true, "has_internal_recording": true, "instructor_name": "Dr. Muhammad Faryad", "instructor_title": "IBM-Certified Quantum Developer, QML Scientist, Qiskit Advocate", "instructor_headline": "", "course_name": "Applied Quantum Machine Learning using Qiskit", "course_slug": "aqml", "school_name": "Dr. Faryad", "school_slug": "faryad", "chapter_count": 16}, "next_data": {"props": {"pageProps": {"apiSchool": {"id": 16363, "slug": "faryad", "name": "Dr. Faryad", "is_stripe_connected": true, "stripe_connect_account_id": "acct_1T1I6z41cJVD2LDU", "zoom_auth_version": 2, "verified": true, "timezone": "Asia/Karachi", "support_email": null, "school_tags": [], "instructor_bio": {"name": "Dr. Faryad", "preferred_name": "Dr. Muhammad Faryad", "image_url": "https://d2426xcxuh3ht5.cloudfront.net/AccRtnOhS5yZPawwqpIy_Muhammad%20Faryad_24-01-31_4468.jpg", "image_url_no_bg": "https://d2426xcxuh3ht5.cloudfront.net/AccRtnOhS5yZPawwqpIy_Muhammad%20Faryad_24-01-31_4468.jpg", "bio_html": "<p><strong>Muhammad Faryad</strong> is an experienced<strong> Maven instructor</strong> and Quantum Machine Learning Scientist. He is an<strong> IBM-certified Qiskit 2.x developer</strong>, a Tier 2 <strong>IBM Qiskit Advocate</strong>, an <strong>IBM QAMP Mentor</strong>, and a <strong>QWorld Instructor</strong>. His research focuses on quantum machine learning, quantum algorithm design, and the analysis of noise resilience in near-term quantum systems. He has published several research articles on quantum information, quantum algorithms, and quantum machine learning.</p><p>He earned his PhD from <strong>The Pennsylvania State University, USA,</strong> in 2012, where he received the Best Dissertation Award. He was honored with the <strong>Galleino Denardo Award</strong> from the <strong>International Centre for Theoretical Physics (ICTP), Italy</strong>, in 2019.</p>", "headline": "", "title": "Quantum Machine Learning Scientist, Trainer and Consultant, IBM-certified Qiskit developer", "linkedin_url": "https://www.linkedin.com/in/muhammad-faryad-55908652/", "x_handle": "@mdfaryad", "custom_social_link": "tiny.cc/faryad", "logos": {"logos": [{"image_url": "https://asset.brandfetch.io/id-g9PeEoV/idHb5JheOF.svg", "type": "logo", "file_type": "svg", "uuid": "a0439b78-ef19-479f-99f3-d8a9f8ddc34e", "name": "Abdus Salam International Centre for Theoretical Physics"}, {"image_url": "https://asset.brandfetch.io/iddYlByg1l/idtYOEqqYp.png", "type": "logo", "file_type": "png", "uuid": "bc895908-cc4d-4a1f-b808-dce3784b6e91", "name": "Penn State College of Engineering"}, {"image_url": "https://asset.brandfetch.io/idBYIBUBtU/id_A0MrV-N.svg", "type": "logo", "file_type": "svg", "uuid": "62c09c79-5065-46f2-9d78-45a57143da2a", "name": "Qiskit"}, {"image_url": "https://asset.brandfetch.io/idHw3UJb_R/idTfvUJc20.svg", "type": "logo", "file_type": "svg", "uuid": "1c5898ad-1fe4-4255-a5b1-37fab19e06ac", "name": "LUMS"}], "label": ""}, "expert_tagline": "will help you build real quantum ML systems", "primary_color": "#ca7aff", "contact_email": "muhammad.faryad@lums.edu.pk", "show_contact": true}}, "pageType": "workshop", "school": {"id": 16363, "slug": "faryad", "name": "Dr. Faryad", "is_stripe_connected": true, "stripe_connect_account_id": "acct_1T1I6z41cJVD2LDU", "zoom_auth_version": 2, "verified": true, "timezone": "Asia/Karachi", "support_email": null, "school_tags": [], "instructor_bio": {"name": "Dr. Faryad", "preferred_name": "Dr. Muhammad Faryad", "image_url": "https://d2426xcxuh3ht5.cloudfront.net/AccRtnOhS5yZPawwqpIy_Muhammad%20Faryad_24-01-31_4468.jpg", "image_url_no_bg": "https://d2426xcxuh3ht5.cloudfront.net/AccRtnOhS5yZPawwqpIy_Muhammad%20Faryad_24-01-31_4468.jpg", "bio_html": "<p><strong>Muhammad Faryad</strong> is an experienced<strong> Maven instructor</strong> and Quantum Machine Learning Scientist. He is an<strong> IBM-certified Qiskit 2.x developer</strong>, a Tier 2 <strong>IBM Qiskit Advocate</strong>, an <strong>IBM QAMP Mentor</strong>, and a <strong>QWorld Instructor</strong>. His research focuses on quantum machine learning, quantum algorithm design, and the analysis of noise resilience in near-term quantum systems. He has published several research articles on quantum information, quantum algorithms, and quantum machine learning.</p><p>He earned his PhD from <strong>The Pennsylvania State University, USA,</strong> in 2012, where he received the Best Dissertation Award. He was honored with the <strong>Galleino Denardo Award</strong> from the <strong>International Centre for Theoretical Physics (ICTP), Italy</strong>, in 2019.</p>", "headline": "", "title": "Quantum Machine Learning Scientist, Trainer and Consultant, IBM-certified Qiskit developer", "linkedin_url": "https://www.linkedin.com/in/muhammad-faryad-55908652/", "x_handle": "@mdfaryad", "custom_social_link": "tiny.cc/faryad", "logos": {"logos": [{"image_url": "https://asset.brandfetch.io/id-g9PeEoV/idHb5JheOF.svg", "type": "logo", "file_type": "svg", "uuid": "a0439b78-ef19-479f-99f3-d8a9f8ddc34e", "name": "Abdus Salam International Centre for Theoretical Physics"}, {"image_url": "https://asset.brandfetch.io/iddYlByg1l/idtYOEqqYp.png", "type": "logo", "file_type": "png", "uuid": "bc895908-cc4d-4a1f-b808-dce3784b6e91", "name": "Penn State College of Engineering"}, {"image_url": "https://asset.brandfetch.io/idBYIBUBtU/id_A0MrV-N.svg", "type": "logo", "file_type": "svg", "uuid": "62c09c79-5065-46f2-9d78-45a57143da2a", "name": "Qiskit"}, {"image_url": "https://asset.brandfetch.io/idHw3UJb_R/idTfvUJc20.svg", "type": "logo", "file_type": "svg", "uuid": "1c5898ad-1fe4-4255-a5b1-37fab19e06ac", "name": "LUMS"}], "label": ""}, "expert_tagline": "will help you build real quantum ML systems", "primary_color": "#ca7aff", "contact_email": "muhammad.faryad@lums.edu.pk", "show_contact": true}}, "course": {"slug": "aqml", "school_id": 16363, "name": "Applied Quantum Machine Learning using Qiskit", "id": 19030, "format": "full_course", "description": "You will implement Quantum SVMs, Quantum neural networks, Quantum feature maps, and hybrid quantum-classical models in Qiskit 2.3.", "attrs": {"courses_page_highlight_order_index": null, "custom_landing_page_url": null, "facebook_pixel_id": null, "is_course_application_enabled": false, "is_demoted_on_courses_page": false, "is_hidden_by_maven_staff": false, "is_live_on_courses_page": true, "short_description": null, "skip_landing_page": null, "satisfaction_guarantee_status": "unset"}, "social_image_url": "https://d2426xcxuh3ht5.cloudfront.net/ElS4Gyw3RPqfuX5zhX2M_qsvm.png", "course_image_url": null, "clp_hero_media": null, "instructor_infos": [{"name": "Dr. Muhammad Faryad", "image_url": "https://d2426xcxuh3ht5.cloudfront.net/dz9ZwJ6VTqm8eTOi5NSC_Muhammad%20Faryad_24-01-31_4466.jpg", "image_url_no_bg": "https://user-assets.maven.com/instructor-no-bg/dz9ZwJ6VTqm8eTOi5NSC_Muhammad%20Faryad_24-01-31_4466.jpg", "uuid": "55f14ff6-da35-4312-af62-87e2b3be77af", "bio_html": "<p><strong>Muhammad Faryad</strong> is an experienced Maven instructor and quantum machine learning scientist. He earned his PhD in Engineering Science and Mechanics from The Pennsylvania State University in 2012. He was honored with the Galleino Denardo Award from the Abdus Salam International Centre for Theoretical Physics (ICTP) in 2019. He is a Tier 2 IBM Qiskit Advocate, IBM-certified Qiskit 2.x developer, an IBM QAMP Mentor, and a QWorld Instructor. </p>", "headline": "Quantum Machine Learning Scientist", "title": "Quantum Machine Learning Scientist", "linkedin_url": "https://www.linkedin.com/in/muhammad-faryad-55908652/", "twitter_handle": "mdfaryad", "custom_social_link": "tiny.cc/faryad", "logos": {"logos": [{"image_url": "https://asset.brandfetch.io/id-g9PeEoV/idHb5JheOF.svg", "type": "logo", "file_type": "svg", "uuid": "791f3cbf-1ff8-4924-b672-380585082401", "name": "Abdus Salam International Centre for Theoretical Physics"}, {"image_url": "https://asset.brandfetch.io/iddYlByg1l/idtYOEqqYp.png", "type": "logo", "file_type": "png", "uuid": "7107a1b8-a808-495f-9434-3871e319d1f1", "name": "Penn State College of Engineering"}, {"image_url": "https://asset.brandfetch.io/idZn0uVr9M/idjMLuK6t1.png", "type": "logo", "file_type": "png", "uuid": "ea85510f-316b-4747-ba0e-968e2ae513d7", "name": "Ayass BioScience"}, {"image_url": "https://asset.brandfetch.io/idBYIBUBtU/id_A0MrV-N.svg", "type": "logo", "file_type": "svg", "uuid": "fbef7891-e628-4314-8937-26ac8f2482f5", "name": "Qiskit"}, {"image_url": "https://asset.brandfetch.io/idHw3UJb_R/idTfvUJc20.svg", "type": "logo", "file_type": "svg", "uuid": "4f018219-bb7d-4c3c-985b-6ea313817f48", "name": "LUMS"}], "label": ""}, "highlights": null, "highlights_html": "<ul><li><p>IBM-certified Qiskit 2.x developer</p></li><li><p>ICTP Galleino Denardo award winner</p></li><li><p>Author of notes on quantum algorithms</p></li><li><p>Tier-2 IBM Qiskit advocate</p></li><li><p>Author of quantum computing research articles</p></li></ul>", "preferred_name": null}], "instructor_caption": "Quantum Machine Learning Scientist", "course_tags": [{"id": 293, "tag_type": "persona", "label": "For Engineers", "slug": "for-engineers", "description": null, "parent_tag_id": null}, {"id": 299, "tag_type": "persona", "label": "For Data Scientists", "slug": "for-data-scientists", "description": null, "parent_tag_id": null}, {"id": 313, "tag_type": "topic", "label": "AI", "slug": "ai", "description": null, "parent_tag_id": null}, {"id": 331, "tag_type": "topic", "label": "Developing AI Models", "slug": "model-development", "description": null, "parent_tag_id": null}, {"id": 332, "tag_type": "topic", "label": "Machine Learning", "slug": "ml", "description": null, "parent_tag_id": null}, {"id": 378, "tag_type": "topic", "label": "Programming", "slug": "programming", "description": null, "parent_tag_id": null}]}, "contentPageSlug": "951b08", "contentPage": {"id": 7515, "school_id": 16363, "slug": "951b08", "content_page_type": "workshop", "sections": [{"uuid": "655a44ca-317b-4215-88b4-e7fc30d87817", "title": "Build your first quantum support vector machine", "version": 1, "image_url": "https://d2426xcxuh3ht5.cloudfront.net/zUabwD33RenwqurbEVMb_qsvm.png", "is_visible": true, "topic_desc": "Support Vector Machines underpin kernel methods in classical ML and provide a clear gateway to quantum advantage. Their reliance on inner products maps naturally to quantum state overlaps. Implementing Quantum SVMs in Qiskit enables direct comparison with classical models, clarifying where quantum feature maps and kernel evaluations may offer meaningful gains.", "brand_logos": {"label": "", "logos": []}, "section_type": "main", "instructor_infos": [{"name": "Dr. Muhammad Faryad", "uuid": "343f80ca-8365-4f12-840d-3d4026af5998", "logos": null, "title": "IBM-Certified Quantum Developer, QML Scientist, Qiskit Advocate", "bio_html": "<p><strong>Muhammad Faryad</strong> is a computational physicist and Associate Professor at <strong>LUMS</strong>. He earned his PhD in Engineering Science and Mechanics from <strong>The Pennsylvania State University</strong> in 2012, where he received the Best Dissertation Award. In 2019, he was honored with the <strong>Galleino Denardo Award</strong> from the <strong>Abdus Salam International Centre for Theoretical Physics (ICTP)</strong>. He is an<strong> IBM-certified Qiskit 2.x developer</strong>, a Tier 2 <strong>IBM Qiskit Advocate</strong>, an <strong>IBM QAMP Mentor</strong>, and a <strong>QWorld Instructor</strong>. His research focuses on quantum machine learning, quantum algorithm design, and the analysis of noise resilience in near-term quantum systems.</p>", "headline": "", "image_url": "https://d2426xcxuh3ht5.cloudfront.net/VVuTZwNEQaK4bbGXw2J7_Muhammad%20Faryad_24-01-31_4468.jpg", "highlights": null, "linkedin_url": null, "twitter_handle": null, "highlights_html": null, "image_url_no_bg": null, "custom_social_link": null}], "learning_outcomes": [{"uuid": "710bc3c6-64af-48f4-a681-75b275f3a029", "title": "Quantum support vector machine model", "description": "Understand the key similarities and differences between classical and quantum SVMs."}, {"uuid": "839598e2-dfba-4c03-971c-f13c7c8290ab", "title": "Why quantum SVM can be better than classical SVM", "description": "Learn how quantum SVMs access exponentially larger kernel spaces without added computational cost."}, {"uuid": "6332b11b-1793-452c-b903-aeaf6324ce15", "title": "Implement quantum SVM in Qiskit 2.3 on real dataset", "description": "Code a quantum SVM in Qiskit 2.3 and apply it to binary classification of a leukemia dataset."}]}], "created_at": "2026-02-22T16:08:45.650534Z", "updated_at": "2026-02-22T16:09:03.405030Z", "theme": null, "attrs": {"type": "workshop", "is_canceled": false, "is_delisted": false, "connected_course_id": 19030, "course_stripe_promo_code_id": null}, "school_event": {"id": 7515, "slug": null, "title": "Build your first quantum support vector machine", "description": null, "start_datetime": "2026-03-03T16:00:00Z", "end_datetime": "2026-03-03T16:45:00Z", "start_date": "2026-03-03", "start_time": "21:00:00", "duration_min": 45, "timezone": "Asia/Karachi", "has_internal_recording": true, "is_recording_public": true}, "num_signups": 332}, "relatedWorkshops": [{"id": 7534, "school_id": 16363, "is_visible_on_discovery_page": true, "is_canceled": false, "is_delisted": false, "connected_course_id": 19030, "workshop_tags": [{"id": 137, "tag_type": "internal_collection", "label": "Instructor", "slug": "Instructor", "description": null, "parent_tag_id": null}, {"id": 293, "tag_type": "persona", "label": "For Engineers", "slug": "for-engineers", "description": null, "parent_tag_id": null}, {"id": 299, "tag_type": "persona", "label": "For Data Scientists", "slug": "for-data-scientists", "description": null, "parent_tag_id": null}, {"id": 313, "tag_type": "topic", "label": "AI", "slug": "ai", "description": null, "parent_tag_id": null}, {"id": 332, "tag_type": "topic", "label": "Machine Learning", "slug": "ml", "description": null, "parent_tag_id": null}], "published_content_page": {"id": 10347, "school_id": 16363, "slug": "0e7aed", "content_page_type": "workshop", "sections": [{"uuid": "9ac69696-e1af-408a-9469-5636980a86f4", "title": "Build Quantum Neural Networks in Qiskit", "version": 1, "image_url": "https://d2426xcxuh3ht5.cloudfront.net/gLj9SNnYQtOYwdW1XGsr_qnn_pic.png", "is_visible": true, "topic_desc": "Quantum ML is moving from theory to practice, and tools like Qiskit make it accessible today. Learning to code quantum neural networks helps you move beyond concepts into real experiments, positioning you early in a rapidly evolving field. QNNs represent and process information by leveraging superposition, entanglement, and high-dimensional Hilbert spaces in ways classical models simply cannot.", "brand_logos": {"label": "", "logos": [{"name": "Qiskit", "type": "logo", "uuid": "20468461-b271-41f9-a012-8662ced53e4e", "file_type": "svg", "image_url": "https://asset.brandfetch.io/idBYIBUBtU/id_A0MrV-N.svg"}, {"name": "Penn State College of Engineering", "type": "logo", "uuid": "c048f523-71f2-413b-9b25-90416060eb7e", "file_type": "png", "image_url": "https://asset.brandfetch.io/iddYlByg1l/idtYOEqqYp.png"}, {"name": "Abdus Salam International Centre for Theoretical Physics", "type": "logo", "uuid": "3337e225-75bb-4696-a7ce-63ab48f2f8b1", "file_type": "svg", "image_url": "https://asset.brandfetch.io/id-g9PeEoV/idHb5JheOF.svg"}]}, "section_type": "main", "instructor_infos": [{"name": "Dr. Muhammad Faryad", "uuid": "31738d9a-c9ff-41f5-ae4d-5429818ef0b7", "logos": null, "title": "IBM-Certified Quantum Developer, QML Scientist, Qiskit Advocate", "bio_html": "<p><strong>Muhammad Faryad</strong> is an experienced<strong> Maven instructor</strong> and Associate Professor at LUMS. He earned his PhD in Engineering Science and Mechanics from <strong>The Pennsylvania State University</strong> in 2012, where he received the Best Dissertation Award. In 2019, he was honored with the <strong>Galleino Denardo Award</strong> from the <strong>Abdus Salam International Centre for Theoretical Physics (ICTP)</strong>. He is an<strong> IBM-certified Qiskit 2.x developer</strong>, a Tier 2 <strong>IBM Qiskit Advocate</strong>, an <strong>IBM QAMP Mentor</strong>, and a <strong>QWorld Instructor</strong>. His research focuses on quantum machine learning, quantum algorithm design, and the analysis of noise resilience in near-term quantum systems.</p>", "headline": "", "image_url": "https://d2426xcxuh3ht5.cloudfront.net/VVuTZwNEQaK4bbGXw2J7_Muhammad%20Faryad_24-01-31_4468.jpg", "highlights": null, "linkedin_url": null, "twitter_handle": null, "highlights_html": null, "image_url_no_bg": null, "custom_social_link": null}], "learning_outcomes": [{"uuid": "37200cf0-e9a2-46d8-8db9-4ac836f21629", "title": "Quantum neural network model", "description": "Understand the key similarities and differences between classical and quantum neural network."}, {"uuid": "f2911392-6ad2-493d-ba69-952038a94310", "title": "Why quantum NNs  can be better than classical NNs", "description": "Learn how quantum NNs access exponentially larger vector spaces."}, {"uuid": "247710f3-80ea-4cd2-916a-f5cc029aecb7", "title": "Implement quantum NNs in Qiskit 2.3 on real dataset", "description": "Code a quantum NN in Qiskit 2.3 and apply it to binary classification of a leukemia dataset."}]}], "created_at": "2026-05-03T05:37:28.683989Z", "updated_at": "2026-05-03T05:38:10.331232Z", "theme": null, "attrs": {"type": "workshop", "is_canceled": false, "is_delisted": false, "connected_course_id": 19030, "course_stripe_promo_code_id": null}, "school_event": {"id": 10347, "slug": null, "title": "Build Quantum Neural Networks in Qiskit", "description": null, "start_datetime": "2026-05-19T09:30:00Z", "end_datetime": "2026-05-19T10:15:00Z", "start_date": "2026-05-19", "start_time": "17:30:00", "duration_min": 45, "timezone": "Asia/Shanghai", "has_internal_recording": true, "is_recording_public": true}, "num_signups": 232}}, {"id": 2938, "school_id": 14003, "is_visible_on_discovery_page": true, "is_canceled": false, "is_delisted": false, "connected_course_id": 15495, "workshop_tags": [{"id": 31, "tag_type": "category", "label": "Data & engineering", "slug": "engineering-ll", "description": null, "parent_tag_id": null}, {"id": 35, "tag_type": "category", "label": "AI", "slug": "ai-ll", "description": null, "parent_tag_id": null}, {"id": 137, "tag_type": "internal_collection", "label": "Instructor", "slug": "Instructor", "description": null, "parent_tag_id": null}, {"id": 293, "tag_type": "persona", "label": "For Engineers", "slug": "for-engineers", "description": null, "parent_tag_id": null}, {"id": 299, "tag_type": "persona", "label": "For Data Scientists", "slug": "for-data-scientists", "description": null, "parent_tag_id": null}, {"id": 313, "tag_type": "topic", "label": "AI", "slug": "ai", "description": null, "parent_tag_id": null}, {"id": 332, "tag_type": "topic", "label": "Machine Learning", "slug": "ml", "description": null, "parent_tag_id": null}, {"id": 395, "tag_type": "internal_collection", "label": "2025 Maven Rewind", "slug": "maven-rewind-2025", "description": null, "parent_tag_id": null}, {"id": 441, "tag_type": "topic", "label": "RAG & Search", "slug": "rag-search", "description": null, "parent_tag_id": null}], "published_content_page": {"id": 3768, "school_id": 14003, "slug": "866f13", "content_page_type": "workshop", "sections": [{"uuid": "77243e45-f976-448c-876a-24f58ff7b6e6", "title": "Build a vector database from scratch", "version": 1, "image_url": "https://d2426xcxuh3ht5.cloudfront.net/aadixoV7RjylebRL6WIU_Duo Instructor.png", "is_visible": true, "topic_desc": "RAG systems all use vector databases. HNSW (Hierarchical Navigable Small Worlds) is the most common algorithm. If you want to build RAG, you should appreciate how this algorithm works", "brand_logos": {"label": "Previously at", "logos": [{"name": "Reddit", "type": "logo", "uuid": "2612d47e-b4c4-4969-ab2a-a751fc69fac0", "file_type": "svg", "image_url": "https://asset.brandfetch.io/idkKwm0IT0/idklqyFZ_8.svg"}, {"name": "Shopify.com", "type": "logo", "uuid": "9a41ad65-c394-4d15-8412-612106a551ac", "file_type": "svg", "image_url": "https://asset.brandfetch.io/idAgPm7IvG/id85L14isQ.svg"}, {"name": "Wikipedia", "type": "logo", "uuid": "c911a160-6c73-478b-961f-bc3c8e192969", "file_type": "svg", "image_url": "https://asset.brandfetch.io/idAo3WRIoq/idpY-V37uF.svg"}, {"name": "O'Reilly Media", "type": "logo", "uuid": "c8137899-8e8e-4303-9d85-d7a85a66c982", "file_type": "svg", "image_url": "https://asset.brandfetch.io/id6jAZunpG/idUfjAKlfO.svg"}]}, "section_type": "main", "instructor_infos": [{"name": "Doug Turnbull", "uuid": "814b2b16-06fc-470b-9312-589ba2347fcb", "title": "Search Consultant and Coach", "bio_html": "<p>Doug has done embedding-based retrieval since using Latent Semantic Indexing to generate search synonyms in 2013. Author of Relevant Search + AI Powered Search, he now helps teams build RAG and search applications. Previous work includes leading search at Reddit, Shopify, and several AI Startups..</p>", "image_url": "https://d2426xcxuh3ht5.cloudfront.net/1wpR6QwET2iK1uOG4623_headshot_tree.jpg"}, {"name": "John Berryman", "uuid": "8d11b98a-c7f6-4a04-a3e9-5514d830c3e0", "title": "Founding member Github Copilot", "bio_html": "<p>John Berryman is the founder and principal consultant of Arcturus Labs, where he specializes in AI application development (Agency and RAG). As an early engineer on GitHub Copilot, John contributed to the development of its completions and chat functionalities, working at the forefront of AI-assisted coding tools. John is coauthor of Prompt Engineering for LLMs (O'Reilly). Before his work on Copilot, John's focus was search technology. His diverse experience includes helping to develop next-generation search system for the US Patent Office, building search and recommendations for Eventbrite, and contributing to GitHub's code search infrastructure. John is also coauthor of Relevant Search (Manning), a book that distills his expertise in the field. John feels fortunate to have worked at the intersection of cutting-edge AI applications and foundational search technologies, giving him the opportunity to contribute to innovation in both LLM applications and information retrieval.</p>", "image_url": "https://d2426xcxuh3ht5.cloudfront.net/M3QWtzdSKic8Hn7v9ez6_john-berryman.jpeg"}], "learning_outcomes": [{"uuid": "4ce8bb14-22ed-4ce2-9c98-12aa93a0abbf", "title": "Learn how embedding similarity search works", "description": "Learn the most common graph-based vector search algorithm used in Elasticsearch, Weaviate, QDrant, Pinecone, etc"}, {"uuid": "930b6388-969e-4d60-ac80-d203716bc741", "title": "See where vector search goes wrong", "description": "As you watch an expert live-code, see where the algorithm falls apart as a real-life expert makes a mistake"}, {"uuid": "de9d0618-9a6c-4876-8777-d7c11777f319", "title": "Deepen your vector search knowledge", "description": "Dense vectors provide specific constraints on retrieval solutions - learn what these are, how they can go wrong"}]}], "created_at": "2026-02-12T21:00:04.796587Z", "updated_at": null, "theme": null, "attrs": {"type": "workshop", "is_canceled": false, "is_delisted": false, "connected_course_id": 15495, "course_stripe_promo_code_id": null}, "school_event": {"id": 3768, "slug": null, "title": "Build a vector database from scratch", "description": null, "start_datetime": "2025-05-07T16:00:00Z", "end_datetime": "2025-05-07T17:00:00Z", "start_date": "2025-05-07", "start_time": "12:00:00", "duration_min": 60, "timezone": "America/New_York", "has_internal_recording": true, "is_recording_public": true}, "num_signups": 1077}}, {"id": 5220, "school_id": 15087, "is_visible_on_discovery_page": true, "is_canceled": false, "is_delisted": false, "connected_course_id": 17014, "workshop_tags": [{"id": 31, "tag_type": "category", "label": "Data & engineering", "slug": "engineering-ll", "description": null, "parent_tag_id": null}, {"id": 35, "tag_type": "category", "label": "AI", "slug": "ai-ll", "description": null, "parent_tag_id": null}, {"id": 293, "tag_type": "persona", "label": "For Engineers", "slug": "for-engineers", "description": null, "parent_tag_id": null}, {"id": 299, "tag_type": "persona", "label": "For Data Scientists", "slug": "for-data-scientists", "description": null, "parent_tag_id": null}, {"id": 313, "tag_type": "topic", "label": "AI", "slug": "ai", "description": null, "parent_tag_id": null}, {"id": 441, "tag_type": "topic", "label": "RAG & Search", "slug": "rag-search", "description": null, "parent_tag_id": null}], "published_content_page": {"id": 6064, "school_id": 15087, "slug": "0c0eed", "content_page_type": "workshop", "sections": [{"uuid": "70aa2839-b33e-45a5-839a-62c2c3f1dade", "title": "Modern Multi-Vector Code Search", "version": 1, "image_url": "https://d2426xcxuh3ht5.cloudfront.net/KxrDrksOTbqueGIv6v7b_Single%20Instructor%20(24).png", "is_visible": true, "topic_desc": "Mixedbread showed in their launch how much faster/better semantic search could make Claude code. Cursor also just announced semantic embedding support, and other agents are soon to follow.  I got better quality with 1/2 tokens and almost 2x faster with mixedbread search.  \n\nLearn what changed from the leading researchers in the space.", "brand_logos": {"label": "Previously at", "logos": []}, "section_type": "main", "instructor_infos": [{"name": "Aamir Shakir", "uuid": "45b3013f-fd95-46b1-bf5c-a81645bf2cae", "logos": null, "title": "Founder of Mixedbread", "bio_html": "<p>Aamir is the Founder &amp; CEO of Mixedbread<strong>,</strong>&nbsp;which is building a search API for unstructured data like PDFs, images, and video to provide the right context to both humans and AI.Since the release of BERT, he has been at the forefront of representation learning and retrieval, working on how AI systems can effectively understand and use complex, unstructured data.At Mixedbread, Aamir leads the development of foundational retrieval models that replace outdated, brittle data pipelines, helping organizations make their data AI-ready and turn it into real business outcomes.</p>", "headline": "", "image_url": "https://d2426xcxuh3ht5.cloudfront.net/hb4HvZkMTiumoMqsRzn2_Aamir%20Headshot%20-%20NEW%20(1).jpg", "highlights": null, "linkedin_url": null, "twitter_handle": null, "highlights_html": null, "image_url_no_bg": null, "custom_social_link": null}, {"name": "Isaac Flath", "uuid": "38208fd6-6359-4519-bd4f-a3a93fb68043", "logos": {"label": "", "logos": []}, "title": "Dev-efficiency and AI expert; Elite AI-Assisted Coding co-instructor", "bio_html": "<p>Isaac is an independent consultant, OSS contributor, and product builder who has helped many companies incorporate AI into their products. I've taught AI efficiency to companies for years and worked for tech startups and cutting edge labs.</p><p><br></p><p>As a consultant, I have helped companies of all sizes from startups (such as Ankihub and SpecStory) to enterprise clients (such as Travel &amp; Leisure and Cable and Wireless Communications). Previously, I worked as a researcher at Novetta where I worked on Chatbots, and worked at other cutting edge labs such as Answer AI.</p>", "headline": "", "image_url": "https://d2426xcxuh3ht5.cloudfront.net/x8HFEtwGRo2JIfDPk423_profile.jpeg", "highlights": [], "linkedin_url": "", "twitter_handle": "", "image_url_no_bg": null, "custom_social_link": ""}], "learning_outcomes": [{"uuid": "948d8f44-cc97-4c7b-839f-7169ddf102f5", "title": "What makes semantic search work for code?", "description": "What's the technical difference between todays semantic search and a \"standard\" hybrid search + reranker from last year"}, {"uuid": "508d1099-5b74-4edf-83de-701b5b6855b7", "title": "What is \"multi-vector\" search and semantic chunking?", "description": "Learn the latest architectures and how a \"single\" vector per chunk is replaced with \"multiple\" for better search"}, {"uuid": "621b6b3e-c698-4dea-a87e-e3739d7d6de6", "title": "Why wasn't multi-vector done before?", "description": "Learn the challenges of a multi-vector search and how extreme quantization with clustering is done to make it possible"}]}], "created_at": "2026-02-12T21:05:51.343094Z", "updated_at": null, "theme": null, "attrs": {"type": "workshop", "is_canceled": false, "is_delisted": false, "connected_course_id": 17014, "course_stripe_promo_code_id": null}, "school_event": {"id": 6064, "slug": null, "title": "Modern Multi-Vector Code Search", "description": null, "start_datetime": "2025-12-11T18:00:00Z", "end_datetime": "2025-12-11T19:00:00Z", "start_date": "2025-12-11", "start_time": "13:00:00", "duration_min": 60, "timezone": "America/New_York", "has_internal_recording": true, "is_recording_public": true}, "num_signups": 156}}], "exploreCourses": null, "workshopTags": [{"id": 159, "tag_type": "internal_collection", "label": "LL non-instructor", "slug": "ll-non-instructor", "description": null, "parent_tag_id": null}, {"id": 31, "tag_type": "category", "label": "Data & engineering", "slug": "engineering-ll", "description": null, "parent_tag_id": null}, {"id": 35, "tag_type": "category", "label": "AI", "slug": "ai-ll", "description": null, "parent_tag_id": null}, {"id": 293, "tag_type": "persona", "label": "For Engineers", "slug": "for-engineers", "description": null, "parent_tag_id": null}, {"id": 299, "tag_type": "persona", "label": "For Data Scientists", "slug": "for-data-scientists", "description": null, "parent_tag_id": null}, {"id": 332, "tag_type": "topic", "label": "Machine Learning", "slug": "ml", "description": null, "parent_tag_id": null}, {"id": 313, "tag_type": "topic", "label": "AI", "slug": "ai", "description": null, "parent_tag_id": null}], "videoChapters": [{"title": "Introduction and Session Overview", "start_seconds": 0}, {"title": "Session Logistics and Q&A", "start_seconds": 94}, {"title": "What is a Quantum Computer?", "start_seconds": 206}, {"title": "The Power of Quantum Computing: State Vectors", "start_seconds": 449}, {"title": "Quantum Machine Learning: The Three Steps", "start_seconds": 736}, {"title": "Classical Support Vector Machines (SVM) Review", "start_seconds": 1092}, {"title": "The Kernel Trick and the Quantum Advantage", "start_seconds": 1263}, {"title": "Computing the Quantum Kernel Matrix", "start_seconds": 1524}, {"title": "Quantum Feature Maps and Encoding", "start_seconds": 1814}, {"title": "Summary of Quantum SVM", "start_seconds": 1974}, {"title": "Jupyter Notebook Walkthrough: Setup and Data Preparation", "start_seconds": 2045}, {"title": "Building and Running a Custom Quantum Feature Map", "start_seconds": 2318}, {"title": "Training the QSVM and Comparing with Classical SVM", "start_seconds": 2671}, {"title": "Using a Standard Quantum Feature Map (ZZFeatureMap)", "start_seconds": 2873}, {"title": "Improving Accuracy by Repeating the Feature Map", "start_seconds": 2942}, {"title": "Course Promotion and Final Q&A", "start_seconds": 3070}], "navPages": [{"category": {"slug": "ai", "href": "/courses/ai", "title": "AI", "palette": {"--palette-category-base": "#460952", "--palette-category-highlight": "#931FAA", "--palette-category-border": "#EDA6FB"}}, "topics": [{"title": "Agentic AI", "slug": "ai/agentic-ai", "href": "/courses/ai/agentic-ai"}, {"title": "Coding with AI", "slug": "ai/ai-coding", "href": "/courses/ai/ai-coding"}, {"title": "AI Workflows", "slug": "ai/ai-workflows", "href": "/courses/ai/ai-workflows"}, {"title": "Claude Code", "slug": "ai/claude-code", "href": "/courses/ai/claude-code"}, {"title": "OpenClaw", "slug": "ai/openclaw", "href": "/courses/ai/openclaw"}, {"title": "Vibe Coding", "slug": "ai/vibe-coding", "href": "/courses/ai/vibe-coding"}, {"title": "AI Evals", "slug": "ai/evals", "href": "/courses/ai/evals"}, {"title": "AI Transformation", "slug": "ai/ai-transformation", "href": "/courses/ai/ai-transformation"}, {"title": "RAG & Search", "slug": "ai/rag-search", "href": "/courses/ai/rag-search"}, {"title": "MCP", "slug": "ai/mcp", "href": "/courses/ai/mcp"}, {"title": "AI for PMs", "slug": "ai/for-product-managers", "href": "/courses/ai/for-product-managers"}, {"title": "AI for Engineers", "slug": "ai/for-engineers", "href": "/courses/ai/for-engineers"}, {"title": "AI for Designers", "slug": "ai/for-designers", "href": "/courses/ai/for-designers"}, {"title": "AI for Marketers", "slug": "ai/for-marketers", "href": "/courses/ai/for-marketers"}, {"title": "AI for Founders", "slug": "ai/for-founders", "href": "/courses/ai/for-founders"}]}, {"category": {"slug": "product", "href": "/courses/product", "title": "Product", "palette": {"--palette-category-base": "#510B00", "--palette-category-highlight": "#B33600", "--palette-category-border": "#F7804D"}}, "topics": [{"title": "AI for PMs", "slug": "for-product-managers/ai", "href": "/courses/for-product-managers/ai"}, {"title": "Agentic AI", "slug": "for-product-managers/agentic-ai", "href": "/courses/for-product-managers/agentic-ai"}, {"title": "AI Evals", "slug": "for-product-managers/ai-evals", "href": "/courses/for-product-managers/ai-evals"}, {"title": "Vibe Coding", "slug": "for-product-managers/vibe-coding", "href": "/courses/for-product-managers/vibe-coding"}, {"title": "Product Sense", "slug": "for-product-managers/product-sense", "href": "/courses/for-product-managers/product-sense"}, {"title": "Product Discovery", "slug": "for-product-managers/product-discovery", "href": "/courses/for-product-managers/product-discovery"}, {"title": "User Research", "slug": "for-product-managers/user-research", "href": "/courses/for-product-managers/user-research"}, {"title": "Prototyping", "slug": "for-product-managers/prototyping", "href": "/courses/for-product-managers/prototyping"}, {"title": "Growth", "slug": "for-product-managers/growth", "href": "/courses/for-product-managers/growth"}, {"title": "Analytics", "slug": "for-product-managers/analytics", "href": "/courses/for-product-managers/analytics"}, {"title": "Tech Foundations", "slug": "for-product-managers/technical-foundations", "href": "/courses/for-product-managers/technical-foundations"}, {"title": "Strategy", "slug": "for-product-managers/strategy", "href": "/courses/for-product-managers/strategy"}, {"title": "Influence", "slug": "for-product-managers/influence", "href": "/courses/for-product-managers/influence"}, {"title": "Leadership", "slug": "for-product-managers/leadership", "href": "/courses/for-product-managers/leadership"}, {"title": "Career Growth", "slug": "for-product-managers/career-growth", "href": "/courses/for-product-managers/career-growth"}]}, {"category": {"slug": "engineering", "href": "/courses/engineering", "title": "Engineering", "palette": {"--palette-category-base": "#00332F", "--palette-category-highlight": "#00746B", "--palette-category-border": "#88B7B2"}}, "topics": [{"title": "AI for Engineers", "slug": "for-engineers/ai", "href": "/courses/for-engineers/ai"}, {"title": "Agentic AI", "slug": "for-engineers/agentic-ai", "href": "/courses/for-engineers/agentic-ai"}, {"title": "Coding with AI", "slug": "for-engineers/ai-coding", "href": "/courses/for-engineers/ai-coding"}, {"title": "Claude Code", "slug": "for-engineers/claude-code", "href": "/courses/for-engineers/claude-code"}, {"title": "OpenClaw", "slug": "for-engineers/openclaw", "href": "/courses/for-engineers/openclaw"}, {"title": "MCP", "slug": "for-engineers/mcp", "href": "/courses/for-engineers/mcp"}, {"title": "RAG & Search", "slug": "for-engineers/rag-search", "href": "/courses/for-engineers/rag-search"}, {"title": "AI Evals", "slug": "for-engineers/ai-evals", "href": "/courses/for-engineers/ai-evals"}, {"title": "Machine Learning", "slug": "for-engineers/ml", "href": "/courses/for-engineers/ml"}, {"title": "LLM Ops", "slug": "for-engineers/llm-ops", "href": "/courses/for-engineers/llm-ops"}, {"title": "Context Eng", "slug": "for-engineers/context-engineering", "href": "/courses/for-engineers/context-engineering"}, {"title": "Security", "slug": "for-engineers/security", "href": "/courses/for-engineers/security"}, {"title": "System Design", "slug": "for-engineers/system-design", "href": "/courses/for-engineers/system-design"}, {"title": "Leadership", "slug": "for-engineers/leadership", "href": "/courses/for-engineers/leadership"}, {"title": "Career Growth", "slug": "for-engineers/career-growth", "href": "/courses/for-engineers/career-growth"}]}, {"category": {"slug": "design", "href": "/courses/design", "title": "Design", "palette": {"--palette-category-base": "#38085F", "--palette-category-highlight": "#772CBB", "--palette-category-border": "#B5A2D0"}}, "topics": [{"title": "AI for Designers", "slug": "for-designers/ai", "href": "/courses/for-designers/ai"}, {"title": "Agentic AI", "slug": "for-designers/agentic-ai", "href": "/courses/for-designers/agentic-ai"}, {"title": "Vibe Coding", "slug": "for-designers/vibe-coding", "href": "/courses/for-designers/vibe-coding"}, {"title": "Prototyping", "slug": "for-designers/prototyping", "href": "/courses/for-designers/prototyping"}, {"title": "Figma", "slug": "for-designers/figma", "href": "/courses/for-designers/figma"}, {"title": "Design Systems", "slug": "for-designers/design-systems", "href": "/courses/for-designers/design-systems"}, {"title": "User Research", "slug": "for-designers/user-research", "href": "/courses/for-designers/user-research"}, {"title": "Product Discovery", "slug": "for-designers/product-discovery", "href": "/courses/for-designers/product-discovery"}, {"title": "UX", "slug": "for-designers/ux", "href": "/courses/for-designers/ux"}, {"title": "UI", "slug": "for-designers/ui", "href": "/courses/for-designers/ui"}, {"title": "Visual Design", "slug": "for-designers/visual-design", "href": "/courses/for-designers/visual-design"}, {"title": "Design Strategy", "slug": "for-designers/strategy", "href": "/courses/for-designers/strategy"}, {"title": "Influence", "slug": "for-designers/influence", "href": "/courses/for-designers/influence"}, {"title": "Leadership", "slug": "for-designers/leadership", "href": "/courses/for-designers/leadership"}, {"title": "Career Growth", "slug": "for-designers/career-growth", "href": "/courses/for-designers/career-growth"}]}, {"category": {"slug": "marketing", "href": "/courses/marketing", "title": "Marketing", "palette": {"--palette-category-base": "#431532", "--palette-category-highlight": "#943170", "--palette-category-border": "#C99EB5"}}, "topics": [{"title": "AI for Marketers", "slug": "for-marketers/ai", "href": "/courses/for-marketers/ai"}, {"title": "Agentic AI", "slug": "for-marketers/agentic-ai", "href": "/courses/for-marketers/agentic-ai"}, {"title": "Vibe Coding", "slug": "for-marketers/vibe-coding", "href": "/courses/for-marketers/vibe-coding"}, {"title": "Automation", "slug": "for-marketers/marketing-automation", "href": "/courses/for-marketers/marketing-automation"}, {"title": "Content Marketing", "slug": "for-marketers/content-marketing", "href": "/courses/for-marketers/content-marketing"}, {"title": "Demand Gen", "slug": "for-marketers/demand-generation", "href": "/courses/for-marketers/demand-generation"}, {"title": "Go-to-Market", "slug": "for-marketers/gtm", "href": "/courses/for-marketers/gtm"}, {"title": "Product Marketing", "slug": "for-marketers/product-marketing", "href": "/courses/for-marketers/product-marketing"}, {"title": "Positioning", "slug": "for-marketers/positioning", "href": "/courses/for-marketers/positioning"}, {"title": "Social Media", "slug": "for-marketers/social-media", "href": "/courses/for-marketers/social-media"}, {"title": "Brand", "slug": "for-marketers/brand", "href": "/courses/for-marketers/brand"}, {"title": "B2B Marketing", "slug": "for-marketers/b2b", "href": "/courses/for-marketers/b2b"}, {"title": "SEO & AEO", "slug": "for-marketers/seo-aeo", "href": "/courses/for-marketers/seo-aeo"}, {"title": "Strategy", "slug": "for-marketers/strategy", "href": "/courses/for-marketers/strategy"}, {"title": "Leadership", "slug": "for-marketers/leadership", "href": "/courses/for-marketers/leadership"}]}, {"category": {"slug": "leadership", "href": "/courses/leadership", "title": "Leadership", "palette": {"--palette-category-base": "#50090E", "--palette-category-highlight": "#A9202A", "--palette-category-border": "#D49C98"}}, "topics": [{"title": "AI for Leaders", "slug": "for-leaders/ai", "href": "/courses/for-leaders/ai"}, {"title": "Agentic AI", "slug": "for-leaders/agentic-ai", "href": "/courses/for-leaders/agentic-ai"}, {"title": "AI Transformation", "slug": "for-leaders/ai-transformation", "href": "/courses/for-leaders/ai-transformation"}, {"title": "AI Governance", "slug": "for-leaders/ai-governance", "href": "/courses/for-leaders/ai-governance"}, {"title": "Communication", "slug": "for-leaders/communication", "href": "/courses/for-leaders/communication"}, {"title": "Influence", "slug": "for-leaders/influence", "href": "/courses/for-leaders/influence"}, {"title": "Strategy", "slug": "for-leaders/strategy", "href": "/courses/for-leaders/strategy"}, {"title": "Management", "slug": "for-leaders/management", "href": "/courses/for-leaders/management"}, {"title": "People Operations", "slug": "for-leaders/people-operations", "href": "/courses/for-leaders/people-operations"}, {"title": "Exec Presence", "slug": "for-leaders/executive-presence", "href": "/courses/for-leaders/executive-presence"}, {"title": "Storytelling", "slug": "for-leaders/storytelling", "href": "/courses/for-leaders/storytelling"}, {"title": "Goal-setting", "slug": "for-leaders/goal-setting", "href": "/courses/for-leaders/goal-setting"}, {"title": "Personal Brand", "slug": "for-leaders/personal-brand", "href": "/courses/for-leaders/personal-brand"}, {"title": "Career Growth", "slug": "for-leaders/career-growth", "href": "/courses/for-leaders/career-growth"}]}, {"category": {"slug": "founders", "href": "/courses/founders", "title": "Founders", "palette": {"--palette-category-base": "#0C3209", "--palette-category-highlight": "#077202", "--palette-category-border": "#69C662"}}, "topics": [{"title": "AI for Founders", "slug": "for-founders/ai", "href": "/courses/for-founders/ai"}, {"title": "Agentic AI", "slug": "for-founders/agentic-ai", "href": "/courses/for-founders/agentic-ai"}, {"title": "AI Workflows", "slug": "for-founders/ai-workflows", "href": "/courses/for-founders/ai-workflows"}, {"title": "Vibe Coding", "slug": "for-founders/vibe-coding", "href": "/courses/for-founders/vibe-coding"}, {"title": "Prototyping", "slug": "for-founders/prototyping", "href": "/courses/for-founders/prototyping"}, {"title": "Product Sense", "slug": "for-founders/product-sense", "href": "/courses/for-founders/product-sense"}, {"title": "Positioning", "slug": "for-founders/positioning", "href": "/courses/for-founders/positioning"}, {"title": "Product Discovery", "slug": "for-founders/product-discovery", "href": "/courses/for-founders/product-discovery"}, {"title": "Management", "slug": "for-founders/management", "href": "/courses/for-founders/management"}, {"title": "Strategy", "slug": "for-founders/strategy", "href": "/courses/for-founders/strategy"}, {"title": "Go-to-Market", "slug": "for-founders/gtm", "href": "/courses/for-founders/gtm"}, {"title": "Personal Brand", "slug": "for-founders/personal-brand", "href": "/courses/for-founders/personal-brand"}, {"title": "Leadership", "slug": "for-founders/leadership", "href": "/courses/for-founders/leadership"}, {"title": "Fundraising", "slug": "for-founders/fundraising", "href": "/courses/for-founders/fundraising"}, {"title": "PMF", "slug": "for-founders/product-market-fit", "href": "/courses/for-founders/product-market-fit"}]}, {"category": {"slug": "more", "href": "/courses/more", "title": "More", "palette": {"--palette-category-base": "#1E2C2B", "--palette-category-highlight": "#4A6361", "--palette-category-border": "#B9C1BE"}}, "topics": [{"title": "Everyone", "slug": "for-everyone", "href": "/courses/for-everyone"}, {"title": "Operators", "slug": "for-operators", "href": "/courses/for-operators"}, {"title": "Data Scientists", "slug": "for-data-scientists", "href": "/courses/for-data-scientists"}, {"title": "Business Analysts", "slug": "for-business-analysts", "href": "/courses/for-business-analysts"}, {"title": "User Researchers", "slug": "for-user-researchers", "href": "/courses/for-user-researchers"}, {"title": "Customer Success", "slug": "for-customer-success", "href": "/courses/for-customer-success"}, {"title": "Project Managers", "slug": "for-project-managers", "href": "/courses/for-project-managers"}, {"title": "HR Professionals", "slug": "for-hr-professionals", "href": "/courses/for-hr-professionals"}, {"title": "Sales People", "slug": "for-sales-people", "href": "/courses/for-sales-people"}, {"title": "Lawyers", "slug": "for-lawyers", "href": "/courses/for-lawyers"}, {"title": "Finance", "slug": "for-finance-professionals", "href": "/courses/for-finance-professionals"}, {"title": "Investors", "slug": "for-investors", "href": "/courses/for-investors"}, {"title": "Real Estate", "slug": "for-real-estate-agents", "href": "/courses/for-real-estate-agents"}, {"title": "Educators", "slug": "for-educators", "href": "/courses/for-educators"}, {"title": "Creators", "slug": "for-creators", "href": "/courses/for-creators"}]}], "navTagLinks": [{"tag": {"id": 332, "tag_type": "topic", "label": "Machine Learning", "slug": "ml", "description": null, "parent_tag_id": null}, "link_slug": "for-engineers/ml"}, {"tag": {"id": 293, "tag_type": "persona", "label": "For Engineers", "slug": "for-engineers", "description": null, "parent_tag_id": null}, "link_slug": "for-engineers"}, {"tag": {"id": 299, "tag_type": "persona", "label": "For Data Scientists", "slug": "for-data-scientists", "description": null, "parent_tag_id": null}, "link_slug": "for-data-scientists"}], "now": "2026-05-19T22:53:56.085Z"}, "__N_SSG": true}, "page": "/p/[slug]/[...ignored]", "query": {"slug": "951b08", "ignored": ["build-your-first-quantum-support-vector-machine"]}, "buildId": "qPlLjBFLQ9fnkFKJ7n7E-", "isFallback": false, "isExperimentalCompile": false, "gsp": true, "scriptLoader": []}}