
Last updated 5/2025
Duration: 4h 59m | .MP4 1280×720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.76 GB
What you’ll learn
– Gain insights into materials used in additive manufacturing
– Learn how AI and machine learning accelerate material discovery
– Understand Digital Twin technology
Requirements
– No any prerequisites
Description
Learn how next-gen materials are transforming digital manufacturing, Industry 4.0, and sustainable innovation.
What You’ll Learn
Applications of AI in material discovery and performance prediction
Advanced materials for 3D printing and nanotechnology in manufacturing
Integration of digital twin and IoT for real-time material monitoring
Sustainability: bio-based polymers, recyclable composites, and green coatings
Modules Overview
Materials for Additive & Advanced Manufacturing
Material Informatics & Digital Twin Integration
Skills You’ll Gain
Material informatics
Digital twin modeling
AI-driven material design
Sustainable material practices
This course is ideal for:
Engineering Students- Especially those in mechanical, materials, manufacturing, aerospace, or robotics streams looking to gain future-ready skills.
Researchers & Innovators- Individuals involved in material science, nanotechnology, or AI-driven product development.
Product Designers- Those interested in using advanced materials for next-gen products and sustainability.
Edtech Learners & Upskillers- Anyone passionate about Industry 4.0, additive manufacturing, or sustainable engineering.
Who this course is for:
– Engineering Students – Especially those in mechanical, materials, manufacturing, aerospace, or robotics streams looking to gain future-ready skills.
– Researchers & Innovators – Individuals involved in material science, nanotechnology, or AI-driven product development.
– Product Designers – Those interested in using advanced materials for next-gen products and sustainability.
– Edtech Learners & Upskillers – Anyone passionate about Industry 4.0, additive manufacturing, or sustainable engineering.
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