ABOUT THE COURSE

Green AI Foundations is a free, awareness‑level course designed for technical leaders, architects and decision‑makers who want to understand how to build and operate AI systems responsibly without sacrificing performance or innovation. This course introduces Green AI as an engineering discipline rather than a purely ethical or compliance topic. Learners are guided through a practical, enterprise‑ready framework that integrates sustainability into strategy, infrastructure, model design, application architecture and governance.

Learning Outcomes

  • Explain what Green AI is and why energy efficiency is now a core engineering concern

  • Understand the business, cost and resilience benefits of energy‑efficient AI systems

  • Describe the five layers of the Green AI implementation framework

  • Apply sustainability thinking to real‑world AI design and operational decisions

  • Recognize how governance and measurement enable scalable, sustainable AI adoption

Course curriculum

    1. Course Overview

    2. Disclaimer

    1. Introduction to Green AI

    2. Reflection Scenario

    3. Sustainability as an Engineering Discipline

    4. Reflection Scenario

    1. Overview of the Five‑Layer Framework

    2. Reflection Scenario

    3. Strategic Layer - Setting Measurable Objectives

    4. Reflection Scenario

    5. Infrastructure Layer - Optimizing Where AI Runs

    6. Reflection Scenario

    7. Model Layer - Building Efficient Intelligence

    8. Reflection Scenario

    9. Application Layer - Sustainable Inference at Scale

    10. Reflection Scenario

    11. Governance Layer - Operationalizing GreenOps

    12. Reflection Scenario

    1. Building Organizational Capability

    2. Reflection Scenario

    3. Measuring Progress with a Green AI Scorecard

    4. Reflection Scenario

    1. From Responsibility to Resilience

    2. Reflection Scenario

    3. Leading the Next Wave of Sustainable AI Innovation

    4. Reflection Scenario

    1. Green AI Framework Summary

    2. Green AI Maturity Self‑Assessment

    3. Course Closing

About this course

  • Free
  • 29 lessons
  • Format: Short Readings + Quizzes
  • Certificate Upon Completion
  • Available for Corporate Training (contact ED4S for a quote)

Instructor

Minav Patel

Minav Suresh Patel is an engineering manager at Amazon, leading large-scale payment platforms. His expertise spans distributed systems, artificial intelligence, sustainability, software architecture and platform modernization, with a focus on building resilient, cloud-native solutions that scale globally. At Amazon, Minav has driven major initiatives in payments risk management, multi-agent systems, regionalization and platform simplification, improving reliability and compliance across hundreds of business integrations. With more than a decade of experience in software development and technical leadership, Minav has built and scaled teams that deliver mission-critical financial infrastructure serving millions of customers worldwide. He is passionate about translating complex business needs into scalable, sustainable systems that balance innovation with operational excellence. The views expressed in this course are personal and do not represent those of Amazon.

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