Most engineering leaders did not choose to adopt AI coding. Their developers chose it, and the leader now has to reason about a capability that is already in the room. The leadership question is no longer "should we adopt this" but "what do we measure, what do we fund, and what do we allow." This is not a hands-on course. It is a working session that ends with a written plan a leader can put in front of their own management and their own team.
Course objectives
Target audienceEngineering managers with 5 to 30 reports, heads of engineering, CTOs of mid-market companies, VPs of engineering inside larger organizations, and platform or developer-experience leads who own the tooling budget.
PrerequisitesNo prior knowledge is required to attend this course.
Important informationEvery participant takes a 10-minute online self-assessment before the course. It checks what they already use:
It also checks how they currently handle planning and verification, and what their review process looks like. The assessment routes them to the right track and flags obvious gaps.
Why this matters to our customers:
That lets day one open with "here is what this room already knows and where the shared gaps are" instead of generic material.
Every participant leaves with a versioned template pack checked into a real repository they can open on Monday. The pack is not a slideware deliverable. It is a working set of 10 to 20 files such as:
The pack is co-authored during the course. Participants do not receive it as a gift at the end. They build it, review each other's entries, and commit it. That is what makes it stick. If nobody has owned a particular file by the end of the day, it does not go in the pack.
Two weeks after delivery, the instructor runs a one-hour follow-up with the cohort. The agenda is fixed:
The follow-up is included in the course price. Without it, most of the value walks out the door inside a month.
A short, evidence-based walkthrough of the DORA findings, 2026 AI engineering telemetry, and Anthropic's own adoption data. Discussion: where does the leader's team sit on the throughput versus stability trade-off today?
We walk through a minimal metric set that answers the questions that matter now:
Exercise:
Plan tier selection, realistic usage patterns by team size, SSO and audit requirements, and when centralized configuration becomes worth the overhead.
Exercise:
A working session, not a lecture. Each leader drafts a 90-day plan with three phases:
The plan includes named owners, success criteria, and a kill switch. It is reviewed by the room before anyone leaves.
Duration: 1 day
Price: 10 900 NOK
Language: English
Format: Instructor-led classroom training with hands-on exercises
Hva er Claude Code Leadership Briefing?
Dette kurset gir ledere en overordnet forståelse av hvordan Claude Code og AI-assistert utvikling påvirker organisasjon, arbeidsprosesser og strategi.
Hvem passer kurset for?
Kurset passer for ledere, beslutningstakere, CTO-er og andre som ønsker innsikt i hvordan AI kan brukes i utviklingsarbeid uten å måtte gå i dybden teknisk.
Trenger jeg teknisk bakgrunn for å delta?
Nei, kurset er tilrettelagt for både tekniske og ikke-tekniske ledere og fokuserer mer på forståelse og anvendelse enn implementering.
Er kurset praktisk rettet?
Kurset er mer strategisk enn teknisk, men inkluderer eksempler og demonstrasjoner som viser hvordan verktøy som Claude Code brukes i praksis.
Hva får jeg ut av kurset?
Du får innsikt i hvordan AI-verktøy påvirker utviklingsteam, hvordan du kan ta bedre beslutninger rundt bruk av AI, og hvordan du kan legge til rette for effektiv og ansvarlig bruk i organisasjonen.
