AI in Practice Training Programme

The time to upskill is now!


AI Business

  Office for AI


AI Business and The AI Summit London are delighted to launch our new AI training programme for business professionals. Approved by the UK Government's Office for Artificial Intelligence, the course is designed to teach the skills necessary for the successful implementation of AI in enterprises.

Taking place 9-10 October and 5 December 2023 at 240 Blackfriars Rd, London, there are three different courses available to suit a variety of needs:

  • Data-Driven Dreams: Building a Future-proof Strategy for the AI Revolution (9 October 2023)
  • AI Integration in Financial Services (10 October 2023)
  • AI in eCommerce and Product Optimisation (5 December 2023)

and you can choose from two experiences:

  • 3-day classroom training in London
  • 1-day classroom training in London

Secure your spot      Discover the learning outcomes


To benefit the most from the course, delegates should ideally have a foundational understanding of AI and intermediate level of technical skills.

We've created a short pre-course questionnaire to help assess whether this is the right programme for you. 

Take the assessment


Solve real business challenges faced today

This comprehensive training programme is designed specifically for business leaders, operational leads, and project managers to enable you to successfully identify, launch and scale up AI projects that solve real business challenges.

This training course is designed using the Office for AI’s AI Upskilling framework. Upon completion of the course, participants will possess the skills and knowledge required to initiate and manage AI projects in the workplace, using responsible and ethical procurement practices.

Unlock the power of AI… with support along the way

The training will be delivered in person by skilled trainers who have real-life experience rolling out successful AI projects in businesses. The onsite programme consists of interactive workshops, practical exercises and real-world case studies.

But that’s not all… the academy continues following the conference, with ongoing learning and support offered for three months afterwards, as well as invites to topical roundtables with like-minded AI enthusiasts.

Pricing for the Programme

3-day classroom training in central London location


1-day classroom training in central London location


Book Now

Group booking discounts are available on request. Please contact the team to discuss. 

Learning Outcomes

Confident Decision Making and AI Implementation

Delegates will learn the necessary skills to make informed leadership decisions regarding the use of AI systems in the workplace.

You'll develop an understanding of different AI approaches and their suitability in various contexts. Plus, you'll also learn how to articulate your needs for AI procurement and evaluate tenders effectively, ensuring ethical and value-driven implementation.

AI Terminology and Development of Robust Use Cases

You'll walk away with a solid knowledge of AI terminology, particularly machine learning, and be able to apply this knowledge to develop appropriate use cases within your specific occupation, industry, or sector.

By following the principles of the scientific method, you'll be able to identify and leverage AI opportunities that align with your business or team goals.

Feasibility and Suitability of AI Solutions

The course emphasises the importance of assessing whether AI is the right solution for a given problem. You will acquire systematic technical knowledge and learn how to evaluate datasets for quality in relation to AI implementation.

This critical skill enables you to make well-informed decisions about the feasibility and suitability of AI solutions, minimising risks and enhancing project success.

Planning and Implementing AI Systems

You will also develop expertise in planning and preparing for the implementation of AI systems, and learn how to lead the implementation process effectively.

This includes deploying AI systems in phases and ensuring a smooth transition to maximise the benefits of AI technology.

Creating Value, Mitigating Risks and Future Readiness

You'll gain insights into using AI tools and methods to create value for your organisation and understand the risks and challenges associated with AI projects, plus strategies to mitigate them.

Furthermore, the course addresses the impact of AI on the future of work and equips you with the knowledge to prepare your team members for an AI-powered economy.

Secure your spot

Ensuring Effective and Ethical Procurement 

You will get to understand the ethical considerations involved in selecting AI vendors, assessing their data handling practices, and ensuring ethical use of AI technologies throughout the procurement process.

On top of that, you'll learn to prioritise trust, fairness and bias mitigation when evaluating AI solutions.

Three-Month Post-Course Support Included 


One month after >>

A two-hour group discussion module led by the trainer one month after the training to address any challenges faced in implementing current AI projects


One-on-One coaching >>

A one-on-one meeting with the trainer to discuss a key issue related to your current AI project


Three months after >>

A two-hour learning and sharing module, led by the tutor three months after the training, where group members can share their successful AI project implementations


Roundtable invites >>

You'll also receive two invites to a roundtable with other business leaders interested in AI, hosted as part of our VisionAIres community. 


Advisory Board Members

Our esteemed advisory board members bring a wealth of knowledge and experience to guide and shape our training programme.

Download the Training Plan for more info!

Register your interest by filling out the form below and downloading a copy of the programme plan.



When and where do the AI in Practice Training Programme take place?

Taking place 9-11 October, and 5 December 2023 at 240 Blackfriars Rd, London SE1 8BF.

The training will start from 9.00 am to 5.30 pm BST.