urning weather into signals—and buildings into responses.
A three-day, hands-on workshop to build an AI-assisted workflow that unites microclimate data, simulation, and ML to predict heat/wind/flash-flood stress, auto-tune façades/ventilation, and deploy closed-loop building- and canyon-scale controls with decision-grade KPIs.
Equip participants to build an end-to-end AI workflow that predicts heat/wind/flash-flood stress, auto-tunes façades/shading/ventilation, and deploys closed-loop controls and urban-canyon adaptations with decision-grade KPIs.
This platform is an integrated learning and experimentation ecosystem for AI-driven heterogeneous catalysis. It combines structured modules, an AI sandbox for GNN modeling and EDA, real-time assessments, and an AI assistant (“CatalystBot”), with built-in techno-economic and life cycle analysis to evaluate performance, cost, and sustainability of catalytic designs.
Establish resilience KPIs & microclimate drivers.
Assemble site data; run baseline E+/Honeybee/URBANopt/CFD; extract features.
Train/validate fast ML surrogates for heat, wind, and flood.
Optimize façade/shading/ventilation; auto-generate control schedules.
Design rule-based/MPC control loops with sensing & fail-safes.
Evaluate canyon-scale strategies; stress-test (heatwave + storm); deliver KPI dashboard & reproducible workflow.
📅 Day 1 – Fundamentals of CO₂ Capture, Catalysts & Data
📅 Day 2 – ML for Catalyst Design, Screening & Uncertainty
📅 Day 3 – Process Integration, TEA/LCA & Operationalization
Architects, façade/building services engineers, and urban designers/planners
Building performance/ESG/resilience leads and sustainability consultants
CFD/modeling practitioners and data/ML engineers working in AEC
Graduate students/researchers in architecture, civil/environmental engineering, and urban climate
Municipal resilience/Smart City teams and risk/climate adaptation professionals
ML predictors for heat, wind, and flash-flood stress
Auto-tuned façade/shading/ventilation + control schedules
Closed-loop controller (rule-based/MPC-ready) with fail-safes
Urban-canyon adaptation plan with trade-off analysis
KPI dashboard and a reproducible end-to-end workflow/templates
₹2,499
$50
The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.
Through recorded video lectures from the original live workshop, with the study material. Watch at your own pace, any time.
365 days from your registration, on your NanoSchool dashboard.
Yes, an e-certificate after completion, with a QR code anyone can verify and an "Add to LinkedIn" button.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
Live, mentor-led and certified. Dates and times in IST.
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