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Course Outline
Introduction to Energy-Efficient AI
- The significance of sustainability in AI
- Overview of energy consumption in machine learning
- Case studies of energy-efficient AI implementations
Compact Model Architectures
- Understanding model size and complexity
- Techniques for designing small yet effective models
- Comparing different model architectures for efficiency
Optimization and Compression Techniques
- Model pruning and quantization
- Knowledge distillation for smaller models
- Efficient training methods to reduce energy usage
Hardware Considerations for AI
- Selecting energy-efficient hardware for training and inference
- The role of specialized processors like TPUs and FPGAs
- Balancing performance and power consumption
Green Coding Practices
- Writing energy-efficient code
- Profiling and optimizing AI algorithms
- Best practices for sustainable software development
Renewable Energy and AI
- Integrating renewable energy sources in AI operations
- Data center sustainability
- The future of green AI infrastructure
Lifecycle Assessment of AI Systems
- Measuring the carbon footprint of AI models
- Strategies for reducing environmental impact throughout the AI lifecycle
- Case studies on lifecycle assessment in AI
Policy and Regulation for Sustainable AI
- Understanding global standards and regulations
- The role of policy in promoting energy-efficient AI
- Ethical considerations and societal impact
Project and Assessment
- Developing a prototype using small language models in a chosen domain
- Presentation of the energy-efficient AI system
- Evaluation based on technical efficiency, innovation, and environmental contribution
Summary and Next Steps
Requirements
- Solid understanding of deep learning concepts
- Proficiency in Python programming
- Experience with model optimization techniques
Audience
- Machine learning engineers
- AI researchers and practitioners
- Environmental advocates within the tech industry
21 Hours
Delivery Options
Private Group Training
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- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from £5700 online delivery, based on a group of 2 delegates, £1800 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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