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
Day 3 - Advanced Techniques & AI Sustainability Metrics (8 Hours)
AI Lifecycle Analysis & Governance
- Time: 3 Hours
- Activities:
- Where does energy get wasted in AI?
- FLOPs, energy efficiency, and carbon metrics
- Hands-on: AI power tracking & efficiency dashboard
Advanced Carbon Profiling & Optimization
- Time: 3 Hours
- Activities:
- Implementing custom AI sustainability dashboards
- Real-time AI power tracking using smart meters & IoT
- Hands-on: AI energy forecasting tool
Q&A + Discussion on AI Governance & Compliance
- Time: 2 Hours
Day 4 - Advanced Deployment & AI Policy Frameworks (8 Hours)
Neural Architecture Search (NAS) for Energy Efficiency
- Time: 2 Hours
- Activities:
- Using AI to design optimized models
- Hands-on: Train & optimize a green AI model
Enterprise-Scale AI Scheduling & Auto-Scaling
- Time: 3 Hours
- Activities:
- AI workload scheduling frameworks
- Hands-on: AI-based energy prediction tool
AI Governance & Compliance Frameworks (ISO, SEC, EU AI Act)
- Time: 3 Hours
- Activities:
- AI lifecycle management & carbon offsetting
- Hands-on: Develop a Green AI policy
Day 5 - Real-World Projects & AI Challenge (8 Hours)
Advanced Model Deployment & Optimization Challenge
- Time: 4 Hours
- Activities:
- Deploying AI models in constrained environments
- Optimizing AI workloads across multiple cloud regions
- Hands-on: Real-world Green AI competition
Final Capstone Project & Review
- Time: 4 Hours
- Activities:
- Group project: Build an AI sustainability roadmap
- Hands-on: AI governance strategy presentation
- Final discussion & feedback
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