AI-Assisted Circular Economy Pathways
Predictive waste-to-resource modeling for cities.
Early access to e-LMS included
About This Course
This comprehensive 3-week program delves into how AI can drive the transition to a circular economy by focusing on intelligent resource mapping, material recovery, lifecycle optimization, and decision-support systems. Participants will gain in-depth knowledge through global case studies, practical AI applications, and collaborative workshops. Throughout the program, they will receive hands-on experience in developing AI-powered tools and strategies, culminating in the creation of actionable roadmaps for sustainable circular pathways. By the end of the program, participants will be equipped with the skills and insights to lead the way in implementing circular economy practices using cutting-edge AI technologies.
Aim
To provide participants with practical knowledge of circular economy principles, equipping them with hands-on skills to apply AI in resource mapping, material recovery, and lifecycle optimization. The program enables participants to design prototype tools and create actionable roadmaps for sustainable urban mining pathways, leveraging AI and life-cycle assessment (LCA) techniques.
Program Objectives
Objectives of the Program:
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Apply AI in circular economy for resource mapping and material recovery.
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Understand circular economy principles and applications.
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Gain hands-on experience with AI tools for sustainability.
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Develop AI-powered solutions for circular pathways.
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Create actionable roadmaps for implementing circular practices.
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Learn from global case studies in circular economy.
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Collaborate and network with industry professionals.
Program Structure
📅 Week 1 – Foundations of Circular Economy & Intelligent Resource Mapping
- Introduction to Circular Economy: Models, Metrics & Misconceptions
- Global Case Studies: Circular Strategies in Practice (EU, Asia, Africa)
- Identifying Data Sources in the Circular Ecosystem (Material Flows, Lifecycle Data, Waste Streams)
- Hands-on: Mapping Linear vs Circular Resource Flows Using Real Data
📅 Week 2 – Applying AI in Circular Economy Systems
- AI for Material Recovery: Image Recognition, Sorting, and Classification
- Predictive Analytics for Product Lifecycles & Reverse Logistics
- Machine Learning for Waste Stream Forecasting & Resource Optimization
- Hands-on: Train a Machine Learning Model for Waste Sorting or Predictive Maintenance
📅 Week 3 – Building Circular Intelligence Tools & Pathways
- Decision Support Systems for Circular Transitions (AI + Systems Thinking)
- AI-Powered Lifecycle Assessment (LCA) & Impact Evaluation
- Visual Dashboards for Monitoring Circular KPIs (Circularity Index, Recovery Rate, etc.)
- Hands-on: Design a Prototype AI Tool to Support a Circular Use-Case
Who Should Enrol?
- Sustainability Practitioners
- AI Enthusiasts
- Industry Professionals
- Researchers
- Project Managers
- Consultants
Program Outcomes
Outcomes:
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AI Skills – Master AI tools for resource mapping and material recovery.
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Circular Economy Expertise – Understand and apply circular economy principles.
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Hands-on Experience – Build AI-powered tools for sustainability.
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Problem-Solving Abilities – Design actionable roadmaps for circular pathways.
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Industry Readiness – Prepare to lead AI-driven sustainability projects.
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Collaboration Skills – Work with professionals across industries to solve real-world problems.
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Certification – Receive an industry-recognized certificate in AI for Circular Economy.
Fee Structure
Discounted: ₹8499 | $112
We accept 20+ global currencies. View list →
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
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