Leading AI-driven Business Transformation Microcredential
- Level(s) of Study: Short course; Professional
- Course Fee:
£795
- Start Date(s): 2 June 2026
- Duration: 3 days
- Study Mode(s): Full-time
- Campus: City Campus
- Entry Requirements: More information
Introduction:
AI is moving fast, but many organisations still struggle to turn ambition into measurable results. This microcredential is built for leaders and SME directors who want to turn AI into measurable business transformation – and reclaim time in the process – without needing to code or build models.
Across three intensive days, you’ll cut through the noise around AI and Generative AI, learn what works in real organisations, and see practical examples of how leaders use AI to do more in less time. You’ll explore real SME case studies, identify high-impact opportunities, and take a hands-on approach to implementation through simple agent building, workflow automation, and rapid experimentation methods such as A/B testing.
You’ll learn how to automate low-value tasks so teams can focus on the work that truly drives growth, and how to measure impact, manage risk, and scale what works. You’ll leave with a clear AI adoption and scaling roadmap tailored to your organisation.
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Upon successful completion of the course you will gain 10 credits which can be built towards a Postgraduate Certificate in Leadership and Management Practice. -
Hands-on implementation – using practical frameworks and canvases to de-risk AI decisions and turn strategy into a roadmap, you’ll build practical GenAI workflows, simple agents and automations you can take back and adapt to your organisation. -
Real SME case studies – learn what works (and what doesn’t) through examples from SMEs that have successfully adopted AI with support from our Centre for Business and Industry Transformation. -
Immediate takeaways you can implement to improve efficiency and productivity – discover how to automate low-value tasks so teams can focus on growth, and leave with a clear AI adoption and scaling roadmap.
What you’ll study
You’ll study how to lead AI-driven business transformation end-to-end: understanding GenAI in a business context, assessing readiness, selecting the right opportunities, testing ideas quickly, automating low-value work, and measuring impact. The focus is on building a realistic adoption and scaling roadmap for your team and organisation.
Core themes include:
- GenAI in real business contexts
- AI transformation across people, processes, and value creation
- Readiness assessment (data, culture, skills, leadership)
- Use-case identification and prioritisation
- A/B testing and experimentation for new ideas
- Automation of repetitive tasks
- Measuring productivity gains and ROI
Accreditations gained by completing the course
Upon successful completion of the course you will gain 10 credits which can be built towards a Postgraduate Certificate in Leadership and Management Practice.
- Day 1 – Strategy readiness and building the knowledge base
- Day 2 – Hands-on implementation, agent building and automation
- Day 3 – Governance scaling value and technology showcase
- Business context and knowledge base development what AI and GenAI can realistically do today and where they add value
- AI-driven transformation across people processes and value creation
- Assessing readiness across data leadership skills and culture
- CBIT (Centre for Business and Industry Transformation) SME case studies on what successful adoption looks like and what to avoid
- Translating use cases into implementable workflows and quick wins
- Hands-on sessions using practical tools to build simple AI agents and automations for real business tasks
- A/B testing products, services and ideas using AI to validate fast and reduce risk
- Identifying and automating repetitive low-value work to release capacity across teams
- Measuring impact productivity gains and ROI and building the business case for scale
- Building your AI adoption and scaling roadmap
- Technology showcase of leading tools, approaches and practical demos relevant to SMEs and senior leaders
How you’re taught
This course is delivered in person over 3 full days from 2–4 June, followed by a 2-hour online drop-in session on 18 June. Teaching combines short expert-led inputs, live demonstrations, real SME case studies, facilitated discussion and hands-on implementation activities, all focused on helping delegates lead AI-driven business transformation in their organisations.
Delegates will be taught how to use the latest AI and Generative AI technologies to drive practical business transformation. This includes identifying transformation opportunities across operations and workflows, automating low-value tasks, an introduction to AI agent building and workflow automation, testing new ideas and services through A/B testing, and building a clear AI adoption and scaling roadmap to support growth, efficiency, and better use of leadership and team time.
As this is a 10-credit postgraduate level 7 course you will complete an assignment. Once successfully completed, the 10 credits at level 7 can be used to build towards our Postgraduate Certificate in Leadership and Management Practice.
Who will teach you
Georgi Iliev leads the delivery of this microcredential. Co-founder of the Centre for Business and Industry Transformation (CBIT) and Head of the award-winning CBIT Venture Builder, Georgi is a fellow at PerplexityAI, a certified Base44 educator, and official partner of the Make Academic Alliance. He is also an ambassador and regional partner for leading AI solution providers including Base44, Make, Lovable, MathWorks, Siemens and others. Georgi is the founder and host of the UK’s flagship 'Transforming SMEs with AI' conference, delivered with Innovate UK Business Connect. He works directly with SMEs as an AI transformation and AI adoption advisor, helping leadership teams turn AI ambition into practical outcomes.
He doesn’t teach AI as a concept, he teaches what works in the real world. His work includes supporting an Innovate UK funded programme that helped an SME move from manual, time-heavy processes to an AI-enabled operating model using practical GenAI workflows, automation, and adoption roadmaps that leadership teams can execute. He has also supported AI-driven transformation across sectors such as manufacturing, supply chain and agritech, including advisory contributions to large funded programmes involving AI implementation and digital twin strategy.
Georgi also delivers AI training for SMEs internationally, typically through government-led initiatives designed to accelerate productivity and innovation. These programmes bring together senior leaders across sectors, and Georgi’s role is to help them move quickly from awareness to implementation with practical, responsible AI adoption and measurable outcomes.
Careers and employability
This microcredential supports leaders who are responsible for strategy, operations, transformation, innovation, or growth. It helps you build confidence in leading AI initiatives, making investment decisions, and translating AI into measurable outcomes – skills that are increasingly expected at senior and director level across sectors.
Depending on your background and experience, this can support progression towards roles such as:
- Director of Digital Transformation
- Head of AI Strategy and Adoption
- Head of Innovation
- Transformation Programme Director
- Head of AI Enablement
- Director of Operations with AI remit
- Chief Transformation Officer
Entry requirements
There are no formal requirements. This microcredential is designed for C-suite executives, directors, and senior leaders (particularly in SMEs) who are responsible for business growth, operations, transformation, innovation, or digital strategy.
For the hands-on activities, it’s helpful if you have access to a paid version of one or more GenAI tools such as ChatGPT, Perplexity, Claude, Gemini, Kimi or other similar GenAI tools. If you don’t, you can still fully participate using free versions and shared demonstrations.
Fees and funding
The fee for this programme is £795.
How to apply
Visit our application portal to apply for this course.
If you have any questions about this course, please email CPDShortCourses@ntu.ac.uk or call us on +44 (0)115 848 8139.
