Digital Innovation and Transformation

Mastering Artificial Intelligence (AI) and Digital Transformation

This course equips professionals with the knowledge and skills to effectively implement AI technologies within digital transformation initiatives. Participants will explore practical applications, tools, and strategies to leverage AI for enhanced decision-making and operational efficiency in their organisations.

5 days Classroom or live online English

Smart Horizon Certified - Global Leadership Consultants

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Download the full standard outline: why attend, methodology, objectives, audience, competencies, the daily outline and current plans.

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Why attend

From knowledge to real-world impact.

Organisations face significant challenges in integrating AI into existing processes, often leading to missed opportunities for innovation and efficiency. Professionals must understand how to identify suitable AI applications that align with their digital transformation goals, ensuring they remain competitive in a rapidly evolving landscape. This course addresses these challenges by providing participants with the necessary frameworks and tools to assess their current capabilities and strategically implement AI solutions. By mastering these skills, attendees will enhance their ability to drive change and foster a culture of innovation within their teams.

The course will engage participants in hands-on exercises that simulate real-world scenarios, enabling them to apply AI tools and frameworks effectively. They will learn to assess organisational readiness for AI adoption, design AI-driven solutions, and evaluate their impact on business outcomes. Additionally, the course will cover ethical considerations and governance in AI deployment, ensuring that participants can make informed decisions that align with organisational values. By the end of the course, attendees will have developed practical capabilities that empower them to lead AI initiatives, optimise processes, and contribute to their organisation's digital transformation strategy.

Workplace challenges

Professional Problems This Course Is Designed to Solve

The programme explores practical approaches to the following challenges. Results depend on how the learning is applied in your organisation.

Limited understanding of AI opportunities and constraints.
Digital initiatives without a coherent implementation roadmap.
Unclear governance, adoption responsibilities and success measures.

Course methodology

How you will learn.

The course employs a blend of case studies, practical workshops, and simulations to foster experiential learning. Participants will work on real-world scenarios that require them to analyse data, design AI solutions, and assess their implications. Each session will include collaborative group work, where participants will develop project proposals and implementation plans based on their findings. Outputs will include detailed reports, AI implementation plans, and performance evaluation documents, providing tangible evidence of their learning. This hands-on approach ensures that participants not only understand theoretical concepts but also acquire the skills necessary to apply AI technologies effectively in their organisations. The combination of theory and practice enhances retention and application of knowledge.

Course objectives

What you'll take away.

By the end of this course, participants will be able to:

Analyse organisational processes to identify opportunities for AI integration.
Design an AI implementation plan that aligns with digital transformation goals.
Evaluate the impact of AI technologies on operational efficiency and decision-making.
Construct a data strategy that supports AI initiatives and digital transformation.
Assess the ethical implications of AI deployment in business contexts.
Prioritise AI projects based on organisational readiness and potential ROI.

Target audience

Who should attend.

This course is suitable for:

Digital Transformation Managers - responsible for leading AI initiatives within their organisations.
IT Professionals - tasked with implementing and managing AI technologies.
Business Analysts - focused on identifying AI opportunities to enhance business processes.
Project Managers - overseeing AI projects and ensuring alignment with strategic goals.

Target competencies

Capabilities you will build.

Participants will develop competencies in:

Evaluate AI technologies for specific business needs.
Develop strategic plans for AI integration in digital transformation.
Assess data governance practices to support AI initiatives.
Implement AI solutions that address identified business challenges.
Facilitate cross-functional collaboration for AI project success.
Monitor and measure the effectiveness of AI applications in operations.

Course outline

Your learning journey.

A focused, practical outline with time to explore, apply and reflect.

Day 1Understanding AI and Digital Transformation

Applied activity: Participants will analyse a fictional company's digital transformation strategy to identify areas where AI could enhance operations and customer engagement. They will present their findings and recommendations to the group, focusing on potential AI applications and their expected benefits.

Output: A report outlining identified AI opportunities and strategic recommendations.

09:00–09:54Define artificial intelligence and its relevance to digital transformation initiatives.
09:54–10:48Explore the key components of digital transformation and their interrelation with AI technologies.
10:48–11:00Identify current trends in AI technologies and their impact on various industries.
11:00–11:30Coffee break
11:30–12:12Identify current trends in AI technologies and their impact on various industries. (continued)
12:12–13:06Discuss the role of data in AI and digital transformation initiatives.
13:06–14:00Examine case studies of successful AI implementations across different sectors.

Day 2Assessing Organisational Readiness for AI

Applied activity: Using a provided assessment framework, participants will evaluate their organisation's readiness for AI adoption and develop a training plan to address identified gaps. They will present their findings and proposed training strategies to the group for feedback.

Output: A comprehensive readiness assessment report and training plan.

09:00–09:54Evaluate organisational culture and structure for effective AI adoption.
09:54–10:48Identify skills gaps and training needs for successful AI integration.
10:48–11:00Conduct a comprehensive readiness assessment using established frameworks.
11:00–11:30Coffee break
11:30–12:12Conduct a comprehensive readiness assessment using established frameworks. (continued)
12:12–13:06Discuss change management strategies for smooth AI implementation.
13:06–14:00Explore tools for measuring readiness and potential impact of AI initiatives.

Day 3Designing AI Solutions for Business Challenges

Applied activity: Participants will work in teams to design an AI solution for a fictional business problem, considering user experience, technical feasibility, and alignment with business objectives. They will create a presentation to showcase their design.

Output: A prototype of the AI solution along with a design document and presentation.

09:00–09:54Understand the AI project lifecycle from conception to deployment.
09:54–10:48Learn techniques for designing AI solutions tailored to specific business needs.
10:48–11:00Explore machine learning algorithms and their applications in solving business problems.
11:00–11:30Coffee break
11:30–12:12Explore machine learning algorithms and their applications in solving business problems. (continued)
12:12–13:06Discuss the importance of user experience in AI solution design and implementation.
13:06–14:00Examine tools for prototyping and testing AI solutions effectively.

Day 4Implementing AI Technologies

Applied activity: Participants will create an implementation plan for their designed AI solution, detailing steps for deployment, data management, and performance evaluation. They will collaborate in groups to refine their plans based on peer feedback.

Output: A detailed AI implementation plan that includes timelines and resource allocation.

09:00–09:54Explore best practices for deploying AI solutions within organisations.
09:54–10:48Discuss data management and governance strategies for AI projects.
10:48–11:00Learn about integration strategies for AI with existing systems and processes.
11:00–11:30Coffee break
11:30–12:12Learn about integration strategies for AI with existing systems and processes. (continued)
12:12–13:06Evaluate performance metrics for assessing AI applications' effectiveness.
13:06–14:00Identify common pitfalls and challenges in AI implementation and how to mitigate them.

Day 5Evaluating AI Impact and Future Trends

Applied activity: Participants will evaluate the impact of their AI solution using provided metrics and develop a strategy for ongoing assessment and improvement. They will present their evaluation findings and recommendations for future enhancements.

Output: An impact evaluation report and continuous improvement strategy.

09:00–09:54Assess the effectiveness of AI solutions post-implementation using relevant metrics.
09:54–10:48Learn methods for measuring ROI and operational efficiency improvements from AI applications.
10:48–11:00Discuss ethical considerations and governance in AI use within organisations.
11:00–11:30Coffee break
11:30–12:12Discuss ethical considerations and governance in AI use within organisations. (continued)
12:12–13:06Explore future trends in AI technologies and their implications for digital transformation strategies.
13:06–14:00Develop strategies for continuous improvement and scaling of AI initiatives.

The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.

Dates & venues

Find a session that works for you.

Confirmed dates accept registration requests. Tentative dates are enquiry only.

Good to know

A few things to know.

How is the course delivered?

Our classroom programmes combine facilitated discussion, case studies, exercises and reflection. The precise format will be confirmed before enrolment.

Can you deliver this programme for our team?

Yes, you can enquire about a tailored programme. Share your goals, group size and preferred dates with our learning team.

Will I receive a certificate?

Participants who complete the programme receive a Smart Horizon certificate of attendance. Smart Horizon programmes are not externally accredited and do not award a professional qualification, licence or designation. Where a course title or outline refers to a professional certification (for example, AACE International's Certified Cost Professional), the programme supports learning and preparation only; the credential itself is awarded solely by the relevant professional body under its own application and examination requirements.

What should I confirm before booking travel?

Please confirm the session, exact venue, accessibility arrangements, fees and any visa requirements with the team before arranging travel. Tentative dates are not confirmed sessions.

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