Leading AI Innovation & Organisational Transformation

Using everyday AI tools, writing prompts that work, AI for writing, research, analysis and meetings, spotting where AI can improve your team's work, using it safely, and rolling it out across a team.

Mainstream tools such as ChatGPT, Microsoft Copilot, Google Gemini and Claude, plus AI features built into everyday software. The skills carry over to whichever tools your organisation uses.

Both. You get hands-on AI training with the tools you already have at work, and the leadership skills to roll AI out across a team: choosing use cases, setting safe-use rules and measuring results.

Not a technical one. It is practical and intensive like a bootcamp, but there is no coding: it is built for managers who need to use and lead AI, not build it. Read more.

Yes. You can study on campus at Malet Street, London WC1E 7HX, or join live online from anywhere. Live Online is £720 and Campus is £1,947. Read more.

Yes. Most of the hands-on work uses generative AI assistants such as ChatGPT, Microsoft Copilot, Google Gemini and Claude, applied to real tasks from your own job. Read more.

Yes. It starts with AI in plain English and assumes no technical knowledge. It also suits people who already use ChatGPT or Copilot but want better results. Read more.

Changing how work gets done, not just adding a tool. Adoption is people using AI; transformation is redesigning processes, roles and decisions around it so the gains last. Read more.

Yes. You finish with a 90-day plan for your own team or organisation, covering where to start, how to bring people with you and how to measure results. Read more.

Yes. Contact admissions about group bookings. Many organisations train one manager first, then use the course's rollout plan to train the wider team. Read more.

Yes. You learn what you should and should not share with AI tools, how to protect confidential and personal data, and how to draft simple AI use guidelines for your team.

Yes. The blended format combines live sessions with independent study, and the exercises use tasks from your own job, so the learning feeds straight back into your work.

This course is hands-on and team-focused: using AI yourself and rolling it out. If you mainly need board-level strategy, compare it with AI Strategy for Executives. Read more.

That is the most common starting point. The course takes you from first prompts to a tested team workflow and a plan, step by step. Read more.

Only with the right settings and rules. The course covers what you should and should not share, how to check AI output for errors, and how to follow your organisation's data and privacy policies.

Usually because of people and process, not technology - unclear goals, weak change management and poor governance. The course is built to help you avoid those failure points.

With honest communication, involvement and reskilling, so people see AI as support rather than threat. The course covers how to lead people through the transition.

Six weeks in a blended format that combines live online sessions with independent study.

Live Online is £720 and Campus is £1,947. Get in touch with admissions for upcoming dates and any group bookings.

By encouraging safe experimentation, rewarding learning and giving teams clear guardrails. The course shows how leaders set the conditions for innovation to stick.

Through outcome metrics - productivity, cost, quality, adoption and value delivered - tracked from the start. The course helps you define and monitor the right measures.

A blend of people and AI, with humans focused on judgement, creativity and relationships. See the future of work with AI.

Lead with the business case, set realistic expectations and prove value with a pilot. Guide in getting board buy-in.

Weak change management, unclear goals and poor governance sink more rollouts than technology does. See common mistakes rolling out AI.

Give them clear use cases, safe guardrails and hands-on practice, not just tools. Approach in training your team to work with AI.

Often yes - many organisations use AI to expand capacity and output rather than reduce headcount. See growing revenue without cutting jobs.

AI lets you handle more volume with the same team for many tasks. More in scaling without hiring.

With honesty, involvement and reskilling, so people see AI as support, not threat. Related: using AI to do your job better.

Setting direction, governing risk, supporting people and iterating - deployment is the start of leadership, not the end.

Many lost ground on cost and speed to faster-moving rivals. See companies that ignored AI too long.

Yes. HR, operations, marketing, finance and change leaders all use the same everyday AI tools, and the course shows how to apply them in your own function and roll them out to others.

Build a pipeline of use cases, share wins and embed AI into normal ways of working rather than treating it as a one-off.

Lean on off-the-shelf tools, a curious internal owner and clear guardrails – reserve specialists for genuinely custom builds. Read more.

Yes, by removing time from repetitive work – but you only bank the saving if you deliberately redirect the freed-up hours. Read more.

Run a two-week pilot on one painful task with one off-the-shelf tool and a baseline, then decide on evidence. Read more.

Teach real tasks not features, start with volunteers, and address the job-security fear head-on so the skills stick. Read more.

Most short executive courses run £300 to £900; this one is £720 for six weeks. Business-school programmes run into five figures. Read more.

Yes, on a leadership track. Only practitioner certifications assume coding. Read more.

About a week of vocabulary, then applied strategy work against a real problem in your own function. Read more.

They care more about what you did with the training. The certificate opens the conversation. Read more.

The one that produces applied work about your own organisation, not a multiple-choice score. Read more.

Free is good for skills, weak on credentials and feedback. Learn free, pay for the specific gap. Read more.

Named instructors, a published syllabus, a real assessment, a dated curriculum and no guaranteed outcomes. Read more.

A thin layer of basics, then strategy. Go deeper technically only when something blocks you. Read more.

Yes, usually by moving internally first and using your existing sector knowledge as the advantage. Read more.

Weeks for decision-level competence, months for confident leadership of a rollout. Read more.

Developers learn to build; leaders learn to decide, govern and lead adoption. Check the syllabus verbs. Read more.

Not on its own. Expanded scope does, and the certificate is how you justify claiming it. Read more.

Train yourself to decide, then the small group who will actually deliver. Never the whole department at once. Read more.

Pick one measurable problem before week one, then apply one small thing every week. Read more.

What problem, what data, what it costs to run, who is accountable and how you will know it worked. Read more.

Live beats recorded, whichever the venue. Blended suits most working executives. Read more.

Use-case judgement, vendor evaluation, governance and adoption, evidenced by one concrete project. Read more.

For many roles yes, if you can show applied work. A degree matters most for research posts. Read more.

Test it against one real process with a baseline, and check data handling before features. Read more.

That it is a project, that the pilot price is the real cost, and that technology is the hard part. Read more.

No. Leadership courses assume no code, and Python will not help you choose use cases. Read more.

AI is the umbrella, machine learning is how it is built, generative AI is the branch that creates content. Read more.

If you have the vocabulary, can name use cases in your function, and have a live problem to work on. Read more.

Nothing automatic. Value comes from applying it and making the result visible. Read more.

Yes, if the format is blended and the work attaches to something already on your desk. Read more.

Lead with their problem, bring a one-page assessment, and ask for a specific piece of scope. Read more.

No single one dominates. Recognition follows the provider, the assessment and what you produced. Read more.

Yes. Knowing what AI can realistically do tells you what rivals are likely doing with it. Read more.

Who teaches it, what you are assessed on, how much is live, and what you leave with. Read more.

A narrow, scheduled habit beats following everything. Pick a few sources and one hour a week. Read more.

A good leadership course does, throughout. Check for data protection, bias, oversight and accountability. Read more.

Short executive certificates take four to eight weeks. Speed matters less than what you can show afterwards. Read more.

It closes the fluency gap, but the move is made by doing product work internally first. Read more.

A small problem, an off-the-shelf tool, a measured result, and telling the right person. Read more.

It pays back through avoided cost and delivered value far more reliably than through salary. Read more.

Go sector-specific only when regulation or data is the main constraint. Otherwise bring your sector to a stronger general course. Read more.

Communicate early, involve the sceptics and pair every tool with a retrained workflow. Read more.

Understand data, failure modes, cost and fit. Skim architectures, and ask the question in the session. Read more.

Yes. Leadership courses cover data, bias, oversight and the operational risks of getting it wrong. Read more.

Write a one-page use case, show it to one person, run a small pilot, write up the result. Read more.