Accelerate Programme Winter School for AI (Cambridge + Turing + NVIDIA)
Source: https://www.turing.ac.uk/events/accelerate-science-winter-school-ai
Description
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+ 1 Free intensive 4-day winter school in Generative AI for final-year UK undergraduates from any discipline, run by the Accelerate Programme for Scientific Discovery at the University of Cambridge in collaboration with the Alan Turing Institute, Oxford Research Software Engineering, and NVIDIA. Includes hands-on LLM workshops, AI coding sessions, access to high-performance compute (CSD3, PEARL), and career talks. The inaugural cohort ran 13-16 January 2026 in Cambridge, with accommodation and some meals covered. Applications for the 2026 cohort are now closed. A 2027 cohort is plausible but has not been publicly announced as of May 2026 — watch the Turing/Accelerate event pages from October 2026 onwards.
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+ 7 This is not a credits offer — it's a free residential training programme. You qualify only if all of these apply:
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+ 9 • You are a final-year undergraduate (3rd year of a UK Bachelor's, including integrated Masters in 3rd year)
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+ 10 • You are studying at a UK university (UK-based students only)
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+ 11 • You can attend in person in Cambridge for the full ~4-day window in January
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+ 12 • You have basic Python familiarity (no advanced ML knowledge required)
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+ 13 • Bonus: a coursework project or research idea you want to apply Gen AI to
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+ 15 The programme explicitly welcomes non-CS disciplines (humanities, biology, chemistry, social sciences, etc.) and underrepresented groups in tech. If you're a CS student already deep in ML, the bar may be higher because the cohort is intentionally diverse.
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+ 17 Not eligible: postgrads, non-UK students, anyone past their final UG year, or first/second-year undergrads (the 2026 page says "final year"; one Cambridge sub-page mentioned "third-year" — these are equivalent in standard UK 3-year degrees).
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+ 23 ItemDetail
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+ 24 TuitionFree
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+ 25 AccommodationIncluded (Cambridge college accommodation, typical for these programmes)
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+ 26 MealsSome meals included
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+ 27 Compute accessCSD3 (Cambridge Service for Data Driven Discovery) and PEARL during the workshops
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+ 28 CurriculumHands-on LLM workshops, coding with AI, HPC environment workshops, career talks, mentorship, networking
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+ 29 TravelNot explicitly covered — check with organisers if cost is a barrier
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+ 30 Certificate / creditNot specified; the value is the experience, network, and compute exposure
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+ 32 CSD3 is one of the largest UK academic HPC systems (Intel + NVIDIA A100/H100 nodes). PEARL is the Pervasive AI Research Lab compute facility. Compute access is during the programme only — this is not an ongoing credits grant.
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+ 38 Applications for the 2026 cohort closed on 21 November 2025, 5:00 PM. Based on that pattern, expect the 2027 cohort (if it runs) to open applications around September–October 2026 with a deadline in mid-to-late November 2026.
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+ 40 When the next call opens:
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+ 42 1. Watch turing.ac.uk/events/accelerate-science-winter-school-ai and science.ai.cam.ac.uk for the announcement
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+ 43 2. Read the eligibility criteria carefully — UK-based, final-year UG only
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+ 44 3. Submit the application form (typically asks for: course, university, motivation, project idea, Python experience, demographic data for diversity monitoring)
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+ 45 4. Wait for selection decisions (~3-4 weeks before the event)
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+ 46 5. If accepted, confirm attendance and arrange travel to Cambridge
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+ 48 To get a heads-up: email accelerate-mle@cst.cam.ac.uk asking to be notified when the 2027 call opens.
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+ 54 • One-off event, not ongoing credits — you get HPC access during the programme, not a long-term allocation
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+ 55 • In-person only — you must travel to Cambridge
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+ 56 • Highly competitive — first cohort was capped (typical for residential schools at ~30-50 places); selection prioritises cohort diversity
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+ 57 • Final-year only — if you're in years 1-2, bookmark this for later
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+ 58 • No 2027 dates announced yet as of May 2026 — the programme is described as "inaugural" for 2026, and continuation depends on Turing/NVIDIA renewing the partnership
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+ 59 • Travel cost likely on you unless you ask about a bursary
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+ 65 PartnerRole
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+ 66 Alan Turing InstituteUK national AI institute; co-organiser, hosting the event listing
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+ 67 Accelerate Programme for Scientific Discovery (Cambridge)Programme owner; based in Cambridge Department of Computer Science and Technology
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+ 68 Cambridge CSD3Provides HPC compute (NVIDIA A100/H100 GPUs) for the workshops
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+ 69 Oxford Research Software EngineeringCo-delivers technical content / RSE expertise
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+ 70 NVIDIAIndustry partner; likely DLI workshop content + hardware sponsorship
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+ 71 PEARLAdditional compute environment used in workshops
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+ 77 If you missed 2026 or aren't eligible:
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+ 78
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+ 79 • EuroHPC AI Factories — free HPC access for EU researchers (covered separately in this database)
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+ 80 • NAIRR Pilot — US equivalent for graduate students
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+ 81 • Pawsey Summer Internship — Australian equivalent (paid)
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+ 82 • NVIDIA Deep Learning Institute — self-paced free courses with certificate (no compute included but good prep for these residential schools)
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+ 83 • Cambridge Spark / Oxford ML Summer School — paid alternatives if you want similar curriculum without the gating
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+ 84 • Accelerate Programme MPhil / PhD pathways — if you finish your UG and want deeper engagement
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+ 90 • The Accelerate Programme also runs other winter schools (e.g., "Data Pipelines for Science") — check science.ai.cam.ac.uk/events for adjacent opportunities you may qualify for
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+ 91 • The 2026 cohort was the first undergraduate edition — the broader Accelerate Programme has been running PhD/postdoc workshops for years, so the institutional commitment is real even if the UG version's continuation isn't formally guaranteed
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+ 92 • If you have a non-CS background and a research-relevant Gen AI idea, lean into that angle in your application — the programme is explicitly trying to broaden Gen AI literacy beyond CS
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+ 93 • Treat this as a network/credential play, not a compute grant — the lasting value is the Cambridge/Turing/NVIDIA contacts, not the GPU hours
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+ 97 Sources:
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+ 98 • Alan Turing Institute event page
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+ 99 • Accelerate Programme announcement (Oct 2025)
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+ 100 • Cambridge C2D3 application deadline page
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+ 101 • Accelerate Programme home
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+ 102 • Cambridge Department of Computer Science — Accelerate Programme
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