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Overview
This one-day course equips business leaders with the knowledge and frameworks required to lead AI transformation across their organisation using Microsoft AI technologies. It focuses on identifying high-impact opportunities, aligning AI initiatives with strategic objectives, and scaling adoption responsibly without requiring technical expertise. Learners will explore how tools such as Microsoft 365 Copilot, Azure AI, and Microsoft Foundry can unlock measurable business value. Through real-world scenarios and leadership-focused guidance, the course enables learners to confidently plan, implement, and govern AI-driven transformation.
Prerequisites
There are no formal prerequisites for this course.
- No technical or development experience is required
- A general understanding of business operations is beneficial
- Interest in AI-driven transformation and innovation is recommended
Target audience
This course is designed for professionals responsible for strategic direction, innovation, and organisational performance.
- Business leaders and decision-makers
- Directors, vice presidents, and executives
- Functional leaders across marketing, sales, operations, HR, finance, and strategy
- Professionals leading digital transformation and innovation initiatives
- Aspiring leaders seeking to understand AI-driven business change
Delegates will learn how to
By the end of this course, learners will be able to:
- Identify opportunities for AI-driven transformation across business functions
- Align AI initiatives with organisational strategy and measurable outcomes
- Evaluate and select appropriate Microsoft AI solutions
- Drive business value through AI-enabled workflows and processes
- Apply responsible AI principles and governance frameworks
- Plan and scale AI adoption across teams and departments
Outline
Module 1: foundations of ai transformation
This module introduces the fundamentals of artificial intelligence and its role in business transformation. Learners explore how generative AI is reshaping organisations and creating new opportunities for value.
- Introduction to artificial intelligence and generative AI
- Key trends shaping AI adoption in organisations
- Understanding business impact and transformation potential
- Common challenges and barriers to AI adoption
- The role of leadership in AI transformation
Module 2: identifying high-value ai opportunities
This module focuses on recognising where AI can deliver measurable business outcomes. Learners explore practical approaches to identifying and prioritising use cases.
- Mapping AI opportunities across business functions
- Identifying high-impact, low-risk use cases
- Evaluating feasibility and business value
- Prioritisation frameworks for AI initiatives
- Aligning opportunities with organisational goals
Module 3: driving value with microsoft ai technologies
This module explores Microsoft AI tools and how they support business transformation. Learners gain insight into selecting the right technologies for different scenarios.
- Overview of Microsoft AI ecosystem
- Driving productivity with Microsoft 365 Copilot
- Leveraging Azure AI capabilities
- Introduction to Microsoft Foundry
- Matching tools to business needs and use cases
Module 4: enabling ai-powered workflows
This module examines how AI can enhance processes and workflows across the organisation. Learners explore practical applications that deliver efficiency and innovation.
- Redesigning business processes with AI
- Automating tasks and decision-making
- Enhancing collaboration and productivity
- Integrating AI into existing workflows
- Measuring impact and performance improvements
Module 5: responsible ai and governance
This module focuses on implementing AI in a responsible and ethical way. Learners explore governance models and risk management approaches.
- Principles of responsible AI
- Managing risk, compliance, and ethics
- Establishing governance frameworks
- Ensuring transparency and accountability
- Building trust in AI systems
Module 6: planning and scaling ai adoption
This module provides a structured approach to implementing and scaling AI initiatives across the organisation.
- Developing an AI adoption strategy
- Building organisational readiness
- Change management and stakeholder engagement
- Scaling AI across teams and functions
- Continuous improvement and innovation
Module 7: leading ai transformation
This final module consolidates learning with a leadership-focused perspective on driving sustained transformation.
- Defining a vision for AI transformation
- Aligning leadership and organisational culture
- Overcoming resistance to change
- Tracking success and business outcomes
- Next steps for AI maturity
Exams and assessments
There are no formal exams included in this course. Learners will complete knowledge checks, guided reflection activities, and scenario-based exercises to confirm understanding of AI transformation principles and leadership decision-making.
Hands-on learning
This course includes practical, leadership-focused activities that help learners connect AI concepts to real organisational priorities.
Learners will take part in activities such as:
- Mapping AI opportunities across key business functions
- Prioritising AI use cases based on value, feasibility, and risk
- Exploring how Microsoft 365 Copilot, Azure AI, and Microsoft Foundry can support different business needs
- Redesigning workflows to identify where AI can improve productivity and decision-making
- Applying responsible AI principles to governance and risk scenarios
- Creating a high-level AI adoption plan that supports scale, stakeholder engagement, and measurable outcomes
Frequently asked questions
How can I create an account on myQA.com?
There are a number of ways to create an account. If you are a self-funder, simply select the "Create account" option on the login page.
If you have been booked onto a course by your company, you will receive a confirmation email. From this email, select "Sign into myQA" and you will be taken to the "Create account" page. Complete all of the details and select "Create account".
If you have the booking number you can also go here and select the "I have a booking number" option. Enter the booking reference and your surname. If the details match, you will be taken to the "Create account" page from where you can enter your details and confirm your account.
Find more answers to frequently asked questions in our FAQs: Bookings & Cancellations page.
How do QA’s virtual classroom courses work?
Our virtual classroom courses allow you to access award-winning classroom training, without leaving your home or office. Our learning professionals are specially trained on how to interact with remote attendees and our remote labs ensure all participants can take part in hands-on exercises wherever they are.
We use the WebEx video conferencing platform by Cisco. Before you book, check that you meet the WebEx system requirements and run a test meeting to ensure the software is compatible with your firewall settings. If it doesn’t work, try adjusting your settings or contact your IT department about permitting the website.
How do QA’s online courses work?
QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course.
Once you have purchased the Online course and have completed your registration, you will receive the necessary details to enable you to immediately access it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.
All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.
When will I receive my joining instructions?
Joining instructions for QA courses are sent two weeks prior to the course start date, or immediately if the booking is confirmed within this timeframe. For course bookings made via QA but delivered by a third-party supplier, joining instructions are sent to attendees prior to the training course, but timescales vary depending on each supplier’s terms. Read more FAQs.
When will I receive my certificate?
Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.