1) Start with understanding what AI, ML, and deep learning are. Focus on concepts like supervised/unsupervised learning, neural networks, and data preprocessing.
2) Explore AI uses in design
- Generative design (e.g., Autodesk’s tools).
- Predictive analytics for user behavior.
- AI-driven prototyping and simulation.
- Personalization and customization.
3) Learn Programming and AI Tools
- Python is the most widely used language for AI/ML development.
- Learn libraries like TensorFlow, PyTorch, and Scikit-learn.
- Explore no-code/low-code AI tools such as Runway ML.
- Explore CAD software that integrates AI (Autodesk Generative Design).
- Collect and preprocess user feedback or sensor data.
5) Experiment with AI-Driven Design Tools
- Use AI tools to enhance the design process.
- Generative Design: Tools such as Autodesk Fusion 360 or nTopology.
- DALL·E, MidJourney, or Stable Diffusion for concept generation.
- Simulation and Optimization: Use AI to test and optimize designs for performance, materials, or sustainability.
6) Collaborate with AI Experts
- Work with data scientists, ML engineers, or AI researchers to understand the technical aspects of AI.
7) Stay Updated on AI Trends
- Follow AI advancements in industrial design
- Explore emerging technologies like AI-powered IoT, AR/VR, and digital twins.
8) Focus on Ethical and Sustainable AI
- Understand the ethical implications of AI in design: Bias in AI algorithms. environmental impact of AI technologies.