Master Characterization Decoder: FTIR, Raman & XRD Made Clear in 4 weeks through hands-on, project-based online training with DSTC.
This course provides a strong foundation in three essential material characterization techniques – FTIR Spectroscopy, Raman Spectroscopy, and X‑ray Diffraction (XRD). Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
This course provides a strong foundation in three essential material characterization techniques – FTIR Spectroscopy, Raman Spectroscopy, and X‑ray Diffraction (XRD).
1. Translate AI Enablement theory into practical, reproducible analysis.
2. Build a defensible project you can showcase to supervisors, reviewers, or employers.
• Master's and senior undergraduate students specializing in AI Enablement
• R&D engineers and working professionals applying AI Enablement in industry
• Academics and educators building research or teaching capacity in AI Enablement
• Tangible, reproducible AI Enablement work to show supervisors or employers.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
Explore the principles and applications of FTIR • Operate FTIR instrumentation and perform data acquisition • Analyze spectra on Google Colab to identify functional groups
Understand Raman fundamentals and instrumentation • Apply advanced data‑analysis methods for Raman spectra • Simulate and interpret Raman spectra in Jupyter Notebooks
Grasp X‑ray diffraction theory and instrument setup • Process XRD patterns to identify phases and crystallinity • Analyze real XRD datasets on Google Colab to calculate lattice parameters
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Google Colab |
| Covered Tool / Platform | Jupyter Notebooks |
| Covered Tool / Platform | Python |
| Covered Tool / Platform | NumPy |
| Covered Tool / Platform | pandas |
| Covered Tool / Platform | matplotlib |
| Covered Tool / Platform | scipy |
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