Key details
Mode of delivery: Classroom-based
Course code: AI19
Duration: 10 days
Fee: £8,325.00 + VAT
Course Overview
This course is for managers and teams that want to master AI to optimise business impact. It examines concepts related to AI, specifically the strategic use of intelligent systems to gain significant business value. You will learn to differentiate high-impact AI opportunities, create plans for implementation, ensure that the AI initiatives are deeply rooted in and consistent with business priorities. The course also highlights best practices for deployment of high-quality solutions such as data governance, ethical considerations, and model bias.
Agenda
Day — 1 AI Demystified: What Every Manager Needs to Know
- What is AI? Core Concepts and Business Applications
- AI Capabilities and Practical Limitations in Business
- AI’s Transformative Impact on Business, Roles, and Society
Day — 2 Crafting Your AI Strategy
- Identifying High-Impact AI Opportunities in Your organisation
- Developing a Strategic AI Vision and Implementation Roadmap
- Risk Assessment and Mitigation in AI Project Planning
Day — 3 Navigating the Ethical AI Landscape
- Ethical Considerations in AI Development and Responsible Deployment
- Understanding, Identifying, and Mitigating AI Bias
- Building Trust and Ensuring Transparency in AI Systems
Day — 4 Equipping Your Team for AI Success
- Overview of Common AI Tools and Platforms for Teams
- Fostering Cross-Functional Collaboration for AI Initiatives
- Agile Methodologies and Project Management for AI Development
Day— 5 Weekly Review
- Summary and recap of key learning objectives
- Action Planning
Day— 6 Leading the AI Transformation
- Leading AI Projects: Key Roles, Responsibilities, and Skills
- Managing organisational Change and Employee Adoption of AI
- Cultivating an AI-Ready organisational Culture and Mindset
Day— 7 AI for Enhanced Decision Making
- How AI Augments Human Decision-Making and Productivity
- Building Trust and Confidence in AI-Driven Decisions
- Practical Scenarios: AI in Operations, Marketing, and HR
Day— 8 Preparing for Tomorrow’s AI Landscape
- AI’s Impact on the Future of Work and Job Evolution
- Lifelong Learning and Upskilling Strategies in the AI Era
- Fostering a Culture of Experimentation and AI Innovation
Day— 9 AI Implementation: Best Practices and Futureproofing
- Continuous Improvement and Monitoring
- Building a Sustainable AI Learning Culture within Your Team.
- Predictively staying ahead in the time of AI
Day— 10 Course Review
- Summary and recap of key learning objectives
- Action Planning
Post-Course
- Six (6) x hour-long Executive Coaching sessions at monthly intervals following Course Completion
Target Audience
- Managers and Team Leaders
- Business Unit Heads
- Executives and Senior Leadership
- Project Managers
- Strategy and Innovation Teams
- HR and Training Professionals
Learning Outcomes
- Learn core AI concepts and real-world business applications.
- Understand ai capacity in a business context.
- recognise AI’s transformative effects on organisations and people.
- Pinpoint areas where AI can create significant business value.
- Formulate a clear vision and practical plan for AI adoption.
- Identify and plan for potential risks in AI implementation.
- Understand moral dilemmas and responsible AI practices.
- recognise sources of bias and strategies for fairness.
- Develop methods to foster user and stakeholder confidence.
- Familiarize with essential AI development and deployment tools.
- Cultivate effective teamwork between technical and business teams.
- Apply agile principles to iterative AI project delivery.
- Clarify leadership roles and accountabilities in AI initiatives.
- Develop strategies for smooth AI adoption and employee acceptance.
- Foster an organisational environment open to AI innovation.
- Discover how AI can support and improve human judgment.
- stablish confidence in AI-driven suggestions and analyses.
- Put AI in action.
- Anticipate changes in job roles and skill requirements.
- Develop strategies for continuous personal and team development.
- Encourage a mindset of continuous improvement and AI exploration.
- Understand methods for optimising AI models over time.
- Cultivate an environment for ongoing AI skill development.
- Futureproofing teams and business impact.
