Corporate Education
We unlock the full potential of your technical personnel through highly specialized, on-site intensive programs designed for deep-tech R&D and production environments.
Our curriculum spans the fundamentals of thin-film deposition to advanced statistical process control, LEAN methodologies, and AI-driven R&D — always grounded in real industrial practice.
Thin-Film Technology Courses
28 hours / 4 days. Covers Low-E coating principles, PVD vs. pyrolytic films, silver protection, tempering effects, and typical downstream defects. Designed for management, engineers, and shift supervisors in glass processing.
50 hours / 8 days. Comprehensive overview of PVD methods: magnetron sputtering, evaporation, ion plating, and laser ablation. Equipment configurations, process parameters, monitoring, and industrial applications.
54 hours / 8 days. Deep dive into in-line sputtering systems: vacuum architecture, gas delivery, power supplies, process control, in-situ monitoring, and maintenance.
27 hours / 4 days. Markets, vacuum web systems, transport and winding, pre-treatment, deposition methods, and in-line quality monitoring for roll-to-roll applications.
30 hours / 5 days. Low-temperature plasma physics, sputtering mechanisms, blistering, ion-induced erosion, and surface modification. For advanced R&D professionals.
25 hours / 4 days. Nucleation, growth modes, microstructure evolution, internal stress, and texture control. Bridges deposition parameters to final film properties.
18 hours / 3 days. Fundamentals of conductivity/transparency trade-off, resistivity well engineering, doping strategies, and practical TCO design for devices.
20 hours / 3 days. Plasma-chemical reactions, reactive sputtering hysteresis, arc management, and process optimization for compound thin films.
50 hours / 8 days. Complete CVD overview: thermodynamics, kinetics, precursor chemistry, reactor design, materials, and applications.
Process Control & Quality Courses
52 hours / 8 days. Universal introduction to LEAN, Six Sigma, SPC, DMAIC, PDSA, and continuous improvement. Suitable for production, R&D, and administrative personnel.
78 hours / 12 days. Expert-level course: advanced SPC, yield modeling, ANOVA, DOE, response surface methodology, nested variance components, and spatial modeling. For hands-on engineers with strong math background.
11 hours / 2 days. Practical factorial designs, response surface methods, mixture designs, Taguchi and D-optimal plans, ANOVA, and predictive analysis with software tools.
34 hours / 5 days. Lean Product Development, Set-Based Concurrent Engineering, Decision Flow Mapping, Knowledge Management, and A3 thinking for R&D transformation.
Emerging Tools & Specialized Topics
15 hours / 2 days. LLMs for hypothesis generation, literature review automation, code generation for data analysis, and scientific writing. Suitable for PhDs and R&D staff.
26 hours / 4 days. NLP for patent search, semantic analysis, knowledge graphs, generative AI for patent drafting, and corporate KM systems.
17 hours / 2 days. Surrogate modeling, generative design, and automation of finite element analysis using neural networks. For engineers with FEA experience.
22 hours / 4 days. Synchrotron radiation, XANES, EXAFS, RIXS, XMCD, time-resolved experiments, and neutron sources. For advanced researchers.
23 hours / 3 days. Electrode kinetics, impedance spectroscopy, intercalation, supercapacitors, and electrochromic materials.
22 hours / 3 days. Thin-film optical design, admittance diagrams, AR coatings, narrowband filters, and optimization algorithms.
6 hours / 1 day. Solvent and aqueous cleaning, contamination types, surface quality standards for precision optics.
Custom duration. Organic and inorganic electrochromic materials, device architectures, electrolyte systems, and durability testing.
Competence Development
SURFONIX training is not a collection of isolated lectures. It is a structured competence development system aligned with your technology roadmap. We map training content to role-based competence matrices, ensuring every program directly strengthens your team's ability to execute.
Explore supporting analytical methods →Direct Contact
We engage directly with facility directors, R&D heads, and investors. Reach out through our dedicated executive channels to discuss new product launches, equipment capability reviews, or critical yield troubleshooting.
