Branxl Academy
Paid in-person session for Stripe checkout and door QR testing. Short agenda, real venue address.
Second paid ticket type for checkout and check-in flow validation.
Free in-person event — register for a ticket; QR is sent by email for venue check-in.
Free in-person tour — location-based check-in testing without payment.
Meet programme leads, see the twelve-week rhythm, and get answers on enrolment, finance options, and cohort dates. You will hear from a recent graduate about their project and how mentorship supported their progress. Sessions run in UK time with captions; choose in-person Birmingham or join the live stream from anywhere.
Meet programme leads, see the twelve-week rhythm, and get answers on enrolment, finance options, and cohort dates. You will hear from a recent graduate about their project and how mentorship supported their progress. Sessions run in UK time with captions; choose in-person Birmingham or join the live stream from anywhere.
LLMs, workflow automation, and responsible use — what teams expect from new hires in 2026. We discuss prompt design, evaluation, governance basics, and how to show AI literacy in interviews without overclaiming. Suitable for career switchers and upskillers; there will be a moderated Q&A at the end.
LLMs, workflow automation, and responsible use — what teams expect from new hires in 2026. We discuss prompt design, evaluation, governance basics, and how to show AI literacy in interviews without overclaiming. Suitable for career switchers and upskillers; there will be a moderated Q&A at the end.
A practical session on loading data, exploratory analysis, and visual storytelling — ideal if you are considering our Data Analysis cohort. You will work through a short exercise in a guided notebook and see how we teach reproducible analysis in the live classroom. No prior Python required; bring a laptop if you want to follow along — or watch and ask questions.
A practical session on loading data, exploratory analysis, and visual storytelling — ideal if you are considering our Data Analysis cohort. You will work through a short exercise in a guided notebook and see how we teach reproducible analysis in the live classroom. No prior Python required; bring a laptop if you want to follow along — or watch and ask questions.
