Global Certificate in Laser Powder AI Innovations

• Fundamentals of Laser Powder Bed Fusion (LPBF): An introduction to the LPBF process, its advantages, and limitations. • AI and Machine Learning Basics: A unit covering artificial intelligence, machine learning, and deep learning fundamentals. • AI Applications in Laser Powder Bed Fusion: Exploring how AI is used in LPBF for process control, optimization, and defect detection. • Data Analysis for LPBF: Techniques for data collection, preprocessing, and analysis in laser powder bed fusion. • Defect Detection and Classification: Methods for detecting and categorizing defects in LPBF using machine learning algorithms. • Process Optimization with AI: Strategies for using AI to optimize LPBF processes, including design of experiments (DoE) and surrogate modeling. • Neural Networks for LPBF Modeling: Applying neural networks to simulate and predict LPBF behavior. • Real-time Monitoring and Control: Techniques for real-time monitoring of LPBF processes and implementing closed-loop control using AI. • Ethical Considerations in AI-driven LPBF: An overview of ethical concerns and best practices when implementing AI in laser powder bed fusion.

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