Day 1 - Foundations of Green AI (8 Hours)
Introduction to Green AI & Sustainability
- Time: 2 Hours
- Activities:
- AI’s environmental impact
- Why Green AI matters
- Energy consumption in AI models
- Hands-on: Energy-aware AI analysis
Measuring AI’s Carbon Footprint
- Time: 3 Hours
- Activities:
- Tools for carbon tracking (CodeCarbon, ML CO2 Impact)
- Calculating emissions from a small AI model
- Hands-on: AI carbon footprint analysis
Q&A + Discussion on AI Sustainability Challenges
- Time: 1 Hour
Lab: Implementing Energy-Aware AI Models
- Time: 2 Hours
- Activities:
- Case Study: Google’s AI energy optimization
- Hands-on experiments to reduce emissions
Day 2 - Practical Green AI Implementation (8 Hours)
AI Model Optimization for Green Computing
- Time: 3 Hours
- Activities:
- Model compression: Pruning, Quantization, Distillation
- Lightweight models (TinyML, MobileNets)
- Hands-on: Optimize an AI model
Time-Shifting AI for Carbon
- Time: 2 Hours
- Activities:
- What is time-shifting in AI?
- Running AI inference during low-energy demand
- Hands-on: Scheduling AI workloads
Final Q&A + Industry Case Study Discussion
- Time: 3 Hours
- Activities:
- Edge vs. cloud AI for sustainability
- Deploying AI models on energy-efficient platforms
- Hands-on: Deploy an optimized AI model
Partner With Us To Drive Sustainable IT Solutions
Explore opportunities for Memberships/Partnerships, Trainings/Certifications, Assessment/Consulting and CSR initiatives with the Green Computing Foundation. Let’s create a greener future together!
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