The fastest way to make your organisation AI-capable isn't hiring AI specialists. It's training the people you already have. The teams that win with AI aren't the ones with the biggest budgets, they're the ones whose existing engineers, product managers, and leaders understand how to build with AI safely and effectively.
The AI skills gap is real, and it's widening. Every week there's a new model, a new framework, a new attack vector, a new best practice. Keeping up is a full-time job, which is why most teams don't try. They outsource their AI work to agencies, buy expensive SaaS tools that promise AI capabilities, or let individual developers figure it out on their own.
The problem is that none of these approaches build institutional capability. Your team stays dependent on external vendors, locked into tools they don't understand, and unable to evaluate whether the AI systems they're buying are actually fit for purpose.
Our training programmes are designed to close that gap. Not with generic "AI awareness" courses that people forget by lunchtime, but with hands-on, practical training that changes how your team builds software.
Ready to transform your business?
Tell us what's blocked, what you're building, or where AI is slowing you down. We reply within one working day.
AI Training Programmes For Engineering Teams
AI-Assisted Development Workshop
Your developers are likely already using AI coding tools, Cursor, Copilot, Claude, OpenCode. The question is whether they're using them effectively and safely.
This workshop covers prompt engineering for code generation, reviewing AI-generated code for security issues, managing AI tool output in CI/CD pipelines, and understanding when to trust AI output versus when to override it. The research shows that developers using AI assistants submit less secure code while being more confident in its security (Sandoval et al., USENIX Security 2023). Our training closes that perception gap.
Duration: 1-2 days | Format: Hands-on with your actual codebase
AI Architecture & Integration Training
For teams moving beyond AI-assisted coding into building AI-powered features, this programme covers the architecture patterns that actually work.
We teach your team how to evaluate AI models for production use, design AI system architectures that are testable and maintainable, implement proper guardrails and safety measures, and deploy AI systems with monitoring and incident response.
Drawing on our experience building production AI systems across consumer apps, enterprise platforms, and legal technology, we show your team what works at scale, not what looks good in a demo.
Duration: 2-3 days | Format: Workshop + architecture review of your current projects
AI Safety & Security Training
Your team needs to understand the specific security risks that AI systems introduce. This programme covers prompt injection and jailbreak techniques, AI-specific OWASP Top 10 vulnerabilities, supply chain risks from AI-generated dependencies, and data privacy considerations for AI systems.
Includes a practical red-teaming exercise where your team learns to test their own AI systems for vulnerabilities.
Duration: 1 day | Format: Lecture + practical exercises on your systems
Training For Non-Technical Leaders
AI Strategy For Decision Makers
Not everyone needs to write AI code, but everyone making decisions about AI needs to understand what it can and can't do.
This programme covers the current state of AI capabilities (and limitations), how to evaluate AI vendor claims critically, understanding AI risk profiles for your industry, and building an AI roadmap that aligns with business goals.
Duration: Half day | Format: Executive briefing + Q&A
AI Governance & Compliance For Leadership
For organisations facing regulatory requirements, this programme covers the EU AI Act and its implications for your business, building governance frameworks for AI deployment, establishing acceptable use policies for AI tools, and incident response planning for AI failures.
Custom Training Programmes
Every organisation is different. We regularly design custom training programmes that address specific gaps, technologies, or regulatory requirements.
Recent examples include a custom workshop for a legal technology team on AI contract analysis, embedding safety review processes into an existing development workflow for a FinTech startup, and training a customer support team on working alongside an AI agent that handles first-line queries.
Why CTM For AI Training
Our training is grounded in real projects, not theory. The same team that built the Worry Rewriter app (live on iOS and Android), the JMBrands enterprise platform (supplying M&S, Next, Target, and Tesco), and the Flow Legal AI contract analysis system delivers your training.
We know what works in production because we've built it, deployed it, and maintained it. We know what fails because we've fixed those failures. And we know how to communicate these lessons in a way that sticks.
Book AI Training For Your Team
Most teams come to us after a failed AI project, a security incident, or a realisation that their AI capability is concentrated in one person who might leave. We help you build the institutional knowledge that makes your organisation genuinely AI-capable, not dependent on external vendors or individual heroics.