CRC Press

Artificial Intelligence Technologies for Engineering Applications

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artificial intelligence, engineering, design, AI tools, machine learning, optimization, smart systems, predictive analysis

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Additional information

Additional information

Authors

Imprint: Morgan Kaufmann Editors: Jamal Amani Rad, Kourosh Parand, Snehashish Chakraverty

Publisher

CRC Press

Published On

2024-12-12

Language

English

Identifiers

doi:10.1201/9781003565529

Format

pdf

Size (MB)

17.54 MB

Rating

⭐️⭐️⭐️⭐️⭐️ 4.61

Description

Artificial Intelligence Engineering Applications

Artificial Intelligence Engineering Applications is a comprehensive course designed for engineers, technologists, and researchers who want to leverage AI technologies for real-world engineering solutions. This course provides in-depth insights into AI methodologies, practical applications, and advanced tools to transform engineering practices effectively.

Course Description

In this course, you will explore the key AI technologies used in various engineering fields, including mechanical, electrical, civil, and software engineering. You will gain hands-on experience with machine learning algorithms, deep learning models, natural language processing, and predictive analytics. The course emphasizes practical implementation, ensuring that learners can apply these technologies to optimize engineering processes, improve design efficiency, and solve complex engineering problems.

By the end of this course, you will have a robust understanding of how AI integrates into engineering applications, enabling smarter decision-making and innovation. Furthermore, the course highlights ethical considerations and best practices for deploying AI solutions responsibly.

What You’ll Learn

  • Fundamentals of Artificial Intelligence and Machine Learning
  • Deep Learning techniques and neural networks for engineering applications
  • Data preprocessing, feature engineering, and model evaluation
  • AI-driven optimization for mechanical, electrical, and civil engineering projects
  • Natural Language Processing for technical documentation and analysis
  • Predictive maintenance and intelligent control systems
  • AI ethics, safety, and responsible deployment strategies

Requirements

  • Basic understanding of programming concepts (Python recommended)
  • Familiarity with engineering principles
  • Willingness to learn AI tools and applications
  • Access to a computer with internet connection

About the Publication

This course is created by industry experts with years of experience in AI integration for engineering. The authors have published research papers and contributed to AI projects in various engineering sectors, providing learners with authoritative insights and practical guidance.

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Additional information

Authors

Imprint: Morgan Kaufmann Editors: Jamal Amani Rad, Kourosh Parand, Snehashish Chakraverty

Publisher

CRC Press

Published On

2024-12-12

Language

English

Identifiers

doi:10.1201/9781003565529

Format

pdf

Size (MB)

17.54 MB

Rating

⭐️⭐️⭐️⭐️⭐️ 4.61

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