Managing AI Effectively Certificate for Leigh Holly
Certificate ID:
799875
Authentication Code:
9d6d8
Certified Person Name:
Leigh Holly
Trainer Name:
Emin Caliskan
Duration Days:
1
Duration Hours:
7
Course Name:
Managing AI Effectively
Course Date:
25 February 2025 09:30 to 16:30
Course Outline:
DETAILED AGENDA
Introduction to AI and Historical Development
- Evolution from traditional computing to AI
- Met Office case study: Transition from physical modeling to ML
- External developments in ML for weather modelling
- Challenges and opportunities in integrating ML with physics-based models
- Met Office perspectives on the transition (to be discussed by internal staff)
- Future directions for hybrid models and emerging techniques
- Basic concepts of machine learning and AI
- Hands-on: Introduction to Copilot with weather-related examples
- Interactive discussion: AI opportunities in meteorological services
15 minute break break
Ethical and Responsible Use of AI
- Fundamental AI ethics principles (personal data protection, bias mitigation, traceability)
- Specific considerations for weather forecasting and climate modelling
- Responsible AI development and deployment in environmental sciences
- Case studies and practical examples in meteorology
- Building an ethical AI culture within the organization
- Data protection and security with AI tools
- Responsible AI use in government organisations
- Workshop: Evaluating AI risks in Met Office contexts
45 minutes for lunch
Enablers of AI & Data Usage
- Understanding data quality and preparation
- Explainable AI techniques:
- Interpretability vs. "black-box" approaches
- Methods for understanding AI decisions
- Practical session: Using Copilot effectively
- Best practices for prompt writing
- Security considerations
- Output validation
15 minute break
Using AI in Your Organisation
- Project management workflows for AI initiatives
- Managing AI projects vs. traditional projects
- Discovery → Modeling → Evaluation → Delivery framework
- Supporting technical teams effectively
- Case studies: Successful AI implementations in weather services
Future Planning and Impact
- Human Plus Machine collaboration
- Continuing development through Communities of Practice (CoPs)
- On-the-job learning strategies
- Building AI-aware teams
- Q&A and resources sharing