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Training

Training for the people who will run it.

Five custom packages, taught by the practitioners who deliver our engagements — built around your stack, your data and your regulatory context. Delivered in-house, remote, or as an executive residential in Cambridge with the Møller Institute.

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Delivery
In-house · Remote · Cambridge residential
Cohort size
6–20 per course
Duration
Half-day briefings to 5-day bootcamps
Taught by
The practitioners on our engagements
The packages

Five tracks. Every module customised before we teach it.

Package 01 · Engineers & technical leads

Claude Code & Agentic Engineering

Hands-on training for teams adopting Claude Code and coding agents in production: how to work with an agent day-to-day, how to keep it safe, and how to wire it into your repos, pipelines and tools through MCP.

2–3 daysBring-your-own-codebase labsSecurity-team variant available
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Modules
01Working with Claude Code: sessions, context, CLAUDE.md, plan and edit modes
02Prompting and task decomposition for agents; when to stop and review
03Model Context Protocol: building and hardening MCP servers and tool allow-lists
04Agentic workflows in CI/CD, code review and incident response
05Guardrails: secrets, permissions, sandboxing, audit and cost control
06Evaluating agent output: tests, evals and security review of AI-written code
07Team playbook: policies, conventions and measuring productivity honestly
Package 02 · Executives, boards & programme leads

AI Transformation Leadership

A leadership programme on moving from pilots to an AI-first operating model — value cases, agentic architecture in plain language, governance under ISO 42001 and the EU AI Act, and the decisions only leaders can make. Available as a Cambridge residential with the Møller Institute.

1–3 daysExecutive residential optionSector case studies
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Modules
01The 2026 AI landscape: copilots, agents and multi-agent systems — what is real
02Finding and funding value: use-case portfolios, ROI and kill criteria
03Target operating model: CoE vs federated, platform teams, skills
04Enterprise AI architecture for non-engineers: data, gateways, guardrails
05Governance: ISO 42001, EU AI Act obligations, board accountability
06Risk, security and trust: what can go wrong and how it is contained
07Your 12-month roadmap — built during the programme
Package 03 · Security, IT & risk teams

Cyber Security & Resilience

Practitioner training across the security lifecycle — from ISO 27001 and zero trust to the agentic SOC and securing AI systems — tuned to your estate and regulators (NIS2, DORA, UK CS&R).

2–5 daysRole-based tracksISO 27001 lead-implementer prep option
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Modules
01ISMS in practice: ISO 27001:2022 controls, risk methodology, evidence automation
02Zero trust and identity: Entra / IAM, passkeys, PAM, non-human identity
03Cloud security across Azure, AWS and Google Cloud — landing zones and CNAPP
04Detection engineering and the agentic SOC: Sentinel, detection-as-code, ATT&CK
05Exposure management: CTEM, EPSS/KEV prioritisation, attack paths
06Securing AI systems: OWASP LLM Top 10, MITRE ATLAS, gateways and guardrails
07Incident response tabletop tailored to your organisation
Package 04 · Security engineers & red/blue teams

Penetration Testing & Offensive Security

Lab-driven offensive training: web, API, cloud, Active Directory / Entra ID and AI/LLM red teaming — in a dedicated range, with reporting that engineers and executives both act on.

3–5 daysDedicated lab rangePurple-team variant with your SOC
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Modules
01Methodology, rules of engagement, scoping and threat-modelled testing
02Web and API exploitation: OWASP ASVS/API Top 10, auth flows, business logic
03Cloud and Kubernetes attack paths across AWS, Azure and GCP
04Active Directory and Entra ID: BloodHound, Kerberos abuse, token theft, Conditional Access gaps
05AI red teaming: prompt injection, jailbreaks, MCP/tool abuse, RAG exfiltration — PyRIT and Garak
06Red vs purple: adversary emulation and detection feedback
07Reporting: CVSS 4.0, exploitability, remediation and retest
Package 05 · Data engineers, analysts & data owners

Data Management, Lakehouse & AI-Ready Data

From lakehouse foundations to governed, AI-ready data products: Microsoft Fabric, Databricks and open table formats, data engineering discipline, Purview governance and the data mesh operating model.

2–4 daysFabric or Databricks trackHands-on with your data
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Modules
01Lakehouse architecture: medallion layers, Iceberg / Delta, OneLake and Unity Catalog
02Data engineering: ingestion, CDC and streaming, dbt/Spark transformations, orchestration
03Data quality, contracts and observability — DataOps in practice
04Governance with Microsoft Purview: classification, lineage, access policies, DSPM
05Analytics that get used: semantic models, Power BI, conversational BI
06Data for AI: embedding pipelines, RAG-ready knowledge, permissions into retrieval
07Data mesh and Data-as-a-Product: ownership, contracts, APIs and MCP access for agents
Executive education partner

In collaboration with the Møller Institute, Churchill College, University of Cambridge.

For leadership teams and boards, our AI transformation and cyber-resilience programmes can be delivered as residential executive education at the Møller Institute in Cambridge — combining our practitioner content with the Institute's leadership-development faculty and facilities.

2–3 day residentials Board & C-suite cohorts Custom case studies from your sector
Enquire about an executive programme
Executive training session
How a package comes together

Scoped to your people, measured after they leave the room.

01 Scope Roles, current skills, your stack and regulators; we pick and adapt modules.
02 Customise Labs and case studies rebuilt on your environment, codebase or data.
03 Deliver In-house, remote or Cambridge residential — practitioners teaching, not slide-readers.
04 Embed Playbooks, office hours and a 30-day follow-up to measure what changed.

Tell us who needs to learn what.

We reply within one working day with a draft outline, duration and delivery options.

info@uspc.co.uk Contact page