Introduction to the Course
Course Objectives
- Understand the value chain of e-waste and the importance of critical minerals recovery.
- Learn how AI can be used to optimize recovery, predict yields, and monitor processes in recycling facilities.
- Acquire skills in LCA basics for assessing the environmental implications of recovery processes.
- Learn Colab-first approaches to data processing, modeling, and sustainability assessment.
- Discover approaches to compare recycling options using process metrics and LCA-based environmental metrics.
- Develop skills to generate insights ready for decision-making in circular economy and urban mining applications.
What Will You Learn (Modules)
Module 1: Foundations and Research Landscape
- Introduction to green finance and carbon markets
- Key international policies and frameworks
Module 2: Financial Analytics and Market Simulations
- Green Bond Structuring & Evaluation
- Frameworks from ICMA
Module 3 – Integrating AI & LCA in a Dashboard
- Academic Research Frameworks
- Bibliometric Analysis with R
- Mapping Research to SDGs and Climate Policy
Who Should Take This Course?
This course is ideal for:
- Climate Finance Research Associate
- Carbon Market Analyst
- ESG / Sustainability Analyst (Climate Finance)
- Policy Researcher (Carbon Pricing & ETS)
- Green Bonds & Sustainable Finance Analyst
Job Opportunities
After completing this course, learners can pursue roles such as:
- Sustainability Analyst (LCA + Data)
- Circular Economy / Urban Mining Analyst
- Process Optimization Analyst (Recycling)
- Materials Recovery Data Scientist
Why Learn With Nanoschool?
At NanoSchool, we focus on career-relevant learning that builds real capability—not just theory.
- Expert-led training: Learn from instructors with real-world experience in applying skills to industry and research problems.
- Practical & hands-on approach: Build skills through guided activities, templates, and task-based learning you can apply immediately.
- Industry-aligned curriculum: Course content is designed around current tools, workflows, and expectations from employers.
- Portfolio-ready outcomes: Create outputs you can showcase in interviews, academic profiles, proposals, or real work.
- Learner support: Get structured guidance, clear learning paths, and support to stay consistent and finish strong.
Key outcomes of the course
Upon completion, learners will be able to:
- Strong conceptual clarity in green finance and carbon markets for academic and research use
- Practical ability to interpret carbon credit quality, MRV logic, and market integrity risks
- Confidence to teach carbon pricing, ETS, and voluntary carbon market structures with credibility
- A reusable academic toolkit (rubric, course module, brief, or research-ready framework)
- Career-ready competence for roles intersecting sustainability, finance, and policy









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