AI for Engineers and Technical Professionals

This three hours class is a practical deep dive into AI concepts, tools, and applications tailored for engineers and technical professionals. Learn how AI enhances problem-solving, automation, and decision-making in engineering fields.
Duration: 1 Day
Hours: 3 Hours
Training Level: All Levels
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Batch One
Wednesday, May 07, 2025
12:00 PM - 03:00 PM (Eastern Time)
Batch Two
Wednesday, June 04, 2025
12:00 PM - 03:00 PM (Eastern Time)
Batch Three
Wednesday, July 23, 2025
12:00 PM - 03:00 PM (Eastern Time)
Batch Four
Wednesday, August 06, 2025
12:00 PM - 03:00 PM (Eastern Time)
Live Session
Single Attendee
$149.00 $249.00
Live Session
Recorded
Single Attendee
$199.00 $332.00
6 month Access for Recorded
Live+Recorded
Single Attendee
$249.00 $416.00
6 month Access for Recorded
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About the Course:

Artificial Intelligence (AI) is transforming engineering and technical industries by enabling smarter automation, predictive analytics, and optimization. This session will provide engineers and technical professionals with a solid foundation in AI, covering key concepts, real-world applications, and hands-on demonstrations. Participants will gain insights into how AI can be leveraged to solve complex engineering problems, streamline workflows, and drive innovation.

Course Objectives:

  • Understand fundamental AI concepts, including Machine Learning (ML) and Deep Learning.
  • Explore AI applications in engineering, manufacturing, automation, and decision-making.
  • Learn about key AI tools, frameworks, and platforms relevant to technical professionals.
  • Gain insights into AI-driven optimization, predictive maintenance, and automation.
  • See real-world case studies on AI’s impact on engineering.
  • Understand ethical considerations and challenges in AI adoption.

Who is the Target Audience?

  • Engineers (Mechanical, Electrical, Civil, Software, etc.)
  • Technical Managers and Decision-makers
  • IT & Data Science Professionals working in technical industries
  • R&D Professionals and Innovators

Basic Knowledge:

  • Basic understanding of engineering principles
  • Familiarity with programming (Python is a plus but not mandatory)
  • Interest in AI and its industrial applications

Curriculum
Total Duration: 3 Hours
Introduction to AI for Engineers

  • What is AI?
  • AI vs. Machine Learning vs. Deep Learning
  • Why AI matters in engineering and technical fields

AI Fundamentals for Engineers

  • Basics of Machine Learning (Supervised, Unsupervised, Reinforcement Learning)
  • Key AI algorithms and their applications in engineering
  • Introduction to Neural Networks and Deep Learning

AI Tools and Technologies

  • Overview of AI tools: TensorFlow, PyTorch, Scikit-learn
  • No-code/Low-code AI tools for engineers
  • AI in CAD, IoT, and industrial automation

AI Applications in Engineering

  • Predictive Maintenance & Fault Detection
  • AI-driven Design and Optimization
  • Computer Vision for Quality Control
  • AI-powered Robotics and Automation

Hands-on Demonstration

  • Running AI models on engineering data

Case study: AI in structural analysis