Courses Descriptions
Artificial Intelligence in Engineering enhances design, automation, and problem-solving, improving efficiency, accuracy, and innovation in various engineering fields.
Overview of AI and Its Impact on Engineering
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Fundamentals of Machine Learning and Deep Learning
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AI Applications in Various Engineering Fields
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Ethical Considerations and Challenges in AI Adoption
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Tools and Platforms for AI in Engineering
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Basics of Supervised and Unsupervised Learning
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Regression, Classification, and Clustering Techniques
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Feature Engineering and Data Preprocessing
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Case Study: Predictive Maintenance in Engineering
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Hands-on: Building a Simple ML Model for Engineering Problems
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AI in Design and Generative Engineering
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Simulation and Optimization Using AI
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AI-Powered Robotics and Automation in Manufacturing
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Real-World Applications: Smart Infrastructure and Energy Systems
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Hands-On: AI-Driven Optimization in Engineering Design
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Deep Learning and Neural Networks in Engineering
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Computer Vision and Image Processing Applications
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Natural Language Processing (NLP) in Engineering Data Analysis
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Internet of Things (IoT) and AI Integration
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Hands-on: Implementing Deep Learning in an Engineering Scenario
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Emerging Trends in AI and Engineering
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AI for Sustainability and Smart Cities
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Industry 4.0 and AI-Driven Innovation
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Final Project: Applying AI to Solve an Engineering Challenge
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Course Wrap-Up and Certification
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