AI for Metallurgy & Materials (Global)
Deep specialization in AI for alloy design, steelmaking process control, heat treatment optimization, casting & foundry, corrosion & failure analysis, and quality control with NDT. Built for metallurgical engineers and materials scientists in the US, UK, EU, and Australia.
"Predict alloy properties from composition, detect blast furnace silicon excursions, optimize heat treatment for target microstructure, and classify NDT indications against ASME/ISO 9712 standards"
6 Modules
Each module builds on the previous one. By the end, you have a complete production system.
- 1
AI for Alloy Design & Composition Optimization
AI-optimized alloy composition recommendation with property predictions, targeting ASTM/SAE/EN grade specs
- 2
AI for Steel & Iron Making Process Control
Steelmaking process control dashboard with endpoint predictions, within IATF 16949 quality controls
- 3
AI for Heat Treatment & Microstructure Prediction
Heat treatment optimization report with CCT/TTT-based microstructure predictions for target hardness
- 4
AI for Casting & Foundry Optimization
Casting process optimization with defect prediction model for ASTM A536/A48 grades
- 5
AI for Corrosion & Failure Analysis
Material selection report with corrosion and failure risk assessment, per NACE MR0175 / ISO 15156 for sour service
- 6
AI for Quality Control & NDT
QC dashboard with SPC analysis and NDT classification, against ASME BPVC Section V / ISO 9712 / ASTM acceptance criteria
Skills you'll practise
Practice data included
- Alloy compositions (50)
- Phase diagram data (12 systems)
- Material properties (40)
- Blast furnace data (400 records)
- BOF heat data (30)
- Continuous casting (300 records)
- Heat treatment records (200)
- CCT/TTT data (8 steels)
- Microstructure metadata (25)
- Casting process data (250)
- Defect analysis (35)
- Simulation parameters (15)
- Corrosion test data (200)
- Failure investigation (15 cases)
- Material selection matrix (20)
- Mechanical test results (300)
- NDT inspections (40)
- SPC charts data (150)
How this certificate is scored
Your certificate shows how many of your written answers met the rubric below, checked by an AI grader. Anyone who checks your certificate sees it.
- You answer 6 short questions, one for each module, in your own words (at least 40 words each).
- An AI grader checks each answer against what its module asks for: it must answer the question, use the course's practice case specifically, and be correct.
- To pass, at least 5 of the 6 answers must meet that bar. The certificate says the answers were graded by AI.
The rubric
- Module 1, AI for Alloy Design & Composition Optimization: AI-optimized alloy composition recommendation with property predictions, targeting ASTM/SAE/EN grade specs.
- Module 2, AI for Steel & Iron Making Process Control: Steelmaking process control dashboard with endpoint predictions, within IATF 16949 quality controls.
- Module 3, AI for Heat Treatment & Microstructure Prediction: Heat treatment optimization report with CCT/TTT-based microstructure predictions for target hardness.
- Module 4, AI for Casting & Foundry Optimization: Casting process optimization with defect prediction model for ASTM A536/A48 grades.
- Module 5, AI for Corrosion & Failure Analysis: Material selection report with corrosion and failure risk assessment, per NACE MR0175 / ISO 15156 for sour service.
- Module 6, AI for Quality Control & NDT: QC dashboard with SPC analysis and NDT classification, against ASME BPVC Section V / ISO 9712 / ASTM acceptance criteria.
What you walk away with
Shareable portfolio
A public URL showing your module timeline, patterns mastered, and completion status.
Everything you build
Download all your work as a ZIP file. It is yours to keep.
Module walkthrough
Each module documented with deliverables and the production pattern you implemented.
Ready to start AI for Metallurgy & Materials (Global)?
First course free. $20 per course after that.