AI for Engineering

  • Overview
  • Course Content
  • Requirements & Materials
Overview

AI for Engineering

Course Description

Explore Artificial Intelligence applications for engineers and their work through hands-on projects and lectures employing simple terms and practical examples. During the course, learners will build a conceptual and computational understanding of AI systems and their real-world engineering applications. Case studies will enhance these discussions by illustrating how AI addresses complex engineering problems, and class projects provide learners with the opportunity to apply what they are studying to industry-specific challenges. Participants will engage directly with the instructor for feedback and guidance during the case studies and project work.

Course Content

Lecture and Class Dialog Topics:

• Introduction to AI and AI Standards

• Introduction to Deep Learning and Generative AI

• AI Safety and Security

Representative Case Studies:

• Physics-Informed Neural Networks for Engineering Problems with Limited Data and Knowledge

• Collaboration of Engineers and Computer Scientists in AI Risk Management

• Cybersecurity, AI, and Manufacturing

Requirements & Materials

Prerequisites

RECOMMENDED:

Previous coursework in probability and statistics

Materials

PROVIDED (student will receive):

Case studies and lecture materials will be provided.

Session Details

Who Should Attend

This course is designed for engineering, computer science, and risk management professionals and executives who want to build or strengthen AI skills within engineering contexts and advance their careers in today’s AI-driven job market.

Computer science students coding on computers

What You Will Learn

  • Core Artificial Intelligence (AI) concepts for engineering
  • Foundations of AI systems and their components
  • Assessment of AI using engineering, computer science, and risk management methods
  • Identification of opportunities to apply AI in engineering processes
  • Real-world AI case studies analysis
  • Application of AI techniques to industry-specific projects
  • Integration of engineering knowledge in data-driven approaches
Analytics professional learning on computer and laptop

How You Will Benefit

  • Explore practical applications of Artificial Intelligence (AI) in solving complex engineering problems.
  • Apply domain-specific engineering expertise when collaborating on interdisciplinary AI challenges.
  • Strengthen your ability to work across engineering and AI teams.
  • Develop skills for designing more innovative, robust, and data-driven engineering solutions.
  • Advance your career in today’s AI-powered engineering landscape.
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    Grow Your Professional Network
  • Taught by Experts in the Field icon
    Taught by Experts in the Field

TRAIN AT YOUR LOCATION

We enable employers to provide specialized, on-location training on their own timetables. Our world-renowned experts can create unique content that meets your employees' specific needs. We also have the ability to deliver courses via web conferencing or on-demand online videos. For 15 or more students, it is more cost-effective for us to come to you.

  • Save Money
  • Flexible Schedule
  • Group Training
  • Customize Content
  • On-Site Training
  • Earn a Certificate
Learn More

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