Course Code: intaiconpro
Duration: 7 hours
Prerequisites:

Audience

Overview:

Objective

Provide participants with a high-level understanding of AI, its capabilities, and limitations, along with practical use cases relevant to their roles. Equip them with frameworks for thinking about AI development and governance, risk, and compliance (GRC).

Course Outline:

Morning: Foundations of AI

10:00 AM - 10:10 AM: Welcome and Objectives

  • Course goals and structure
  • Overview of AI in the consulting and healthcare context

10:10 AM - 10:45 AM: What is AI?

  • Definitions: AI, machine learning, and generative AI
  • Key concepts: Training data, models, algorithms
  • Practical examples: ChatGPT, image recognition, predictive models

10:45 AM - 11:20 AM: Capabilities and Limitations of AI

  • What AI can do today (e.g., automation, predictions, summarisation)
  • Limitations: Bias, interpretability, and generalisation
  • Case studies: NHS-related AI applications like demand forecasting or patient triage

11:20 AM - 11:30 AM: Break

11:30 AM - 12:15 PM: Practical AI Tools for Productivity

  • Overview of available tools (e.g., Microsoft Copilot, ChatGPT, DALL-E).
  • Hands-on demos:
  • Using Copilot for Excel forecasting.
  • Generating summaries with Co-Pilot
  • AI for PowerPoint and report generation

12:15 PM - 1:00 PM: Interactive Session: Brainstorming Use Cases

  • Group exercise: Identify potential AI use cases in participants' day-to-day work (e.g., capacity planning, service optimisation)
  • Prioritise and discuss feasibility

Afternoon: Governance, Ethics, and Practical Frameworks

1:00 PM - 1:30 PM: Lunch Break

1:30 PM - 2:15 PM: Ethical AI and Governance

  • Ethical concerns: Bias, transparency, accountability
  • Regulatory landscape: GDPR, NHS-specific guidelines
  • Interactive discussion: Ethical dilemmas in using AI in Management Consulting

2:15 PM - 3:00 PM: Framework for Thinking About AI Development

  • Requirements gathering with AI in mind
  • Understanding the lifecycle of an AI project:
    • Define goals
    • Identify data sources
    • Evaluate tools
    • Monitor and maintain
  • Discussion: How to align AI initiatives with organisational goals

3:00 PM - 3:10 PM: Break

3:10 PM - 3:50 PM: Risks and Compliance (GRC Frameworks)

  • Risks: Security, misinformation, over-reliance
  • Governance frameworks for safe AI implementation
  • Checklist for ensuring compliance in AI-driven projects

3:50 PM - 4:00 PM: Wrap-Up and Q&A

  • Recap of key learnings
  • Open floor for questions and reflections
  • Next steps: Resources and further training opportunities