AI in Electrical Engineering
Course Description
This course is designed to provide participants with a comprehensive understanding of artificial intelligence (AI) and its diverse applications within the field of electrical engineering. Covering fundamental AI concepts, techniques, and real-world applications, the course aims to bridge the gap between theoretical knowledge and practical implementation
The Training Course Will Highlight ?
Training Objective

By the end of the course, participants will be able to:

  • Understand the basic concepts and principles of AI.
  • Identify the various AI techniques and tools used in electrical engineering.
  • Apply AI methods to solve complex electrical engineering problems.
  • Evaluate the effectiveness of AI applications in real-world electrical engineering scenarios.
  • Develop and implement AI models for specific electrical engineering tasks

Target Audience

  • Electrical engineering students and professionals.
  • Researchers and academics in the field of electrical engineering.
  • Engineers interested in incorporating AI into their work.
  • Technologists and data scientists focusing on electrical engineering applications

Training Methods

  • Presentations by the course leader, including case examples.
  • Group work on case studies - analysis, interaction, and discussion.
  • Hands-on sessions with AI tools and software.
  • Practical projects and assignments.

Daily Agenda

DAY 1: Introduction to AI and Machine Learning

  • Overview of AI: History, Definitions, and Trends
  • Basic Concepts of Machine Learning
  • Supervised vs. Unsupervised Learning
  • AI in Electrical Engineering: An Overview
  • Case Study: AI in Power Systems

DAY 2: AI Techniques and Tools

  • Neural Networks and Deep Learning
  • Natural Language Processing (NLP)
  • Reinforcement Learning
  • AI Software and Tools (TensorFlow, Keras, etc.)
  • Hands-on Session: Building a Simple Neural Network


DAY 3: AI Applications in Electrical Engineering I

  • AI in Power Generation and Distribution
  • Smart Grids and AI
  • Predictive Maintenance using AI
  • Case Study: AI in Renewable Energy Systems
  • Group Activity: Analyzing AI Applications in Energy Sector

DAY 4: AI Applications in Electrical Engineering II

  • AI in Signal Processing
  • AI in Control Systems and Automation
  • Robotics and AI in Electrical Engineering
  • Case Study: AI in Electrical Vehicle Technology
  • Guest Lecture: Industry Expert on AI in Electrical Engineering

DAY 5: Practical Implementation and Future Trends

  • Developing and Implementing AI Models
  • Ethical Considerations and Challenges in AI
  • Future Trends and Innovations in AI and Electrical Engineering
  • Group Project Presentations
  • Course Review and Q&A Session
Accreditation
Quick Enquiry

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Course Rounds : (5 -Days)


Code Date Venue Fees Register
EE229-01 06-04-2025 Dubai USD 5450
EE229-02 11-08-2025 Istanbul USD 5950
EE229-03 23-11-2025 Dubai USD 5450
Prices doesn't include VAT

UpComing Date


Details
  • Start date 06-04-2025
  • End date 10-04-2025

Venue
  • Country UAE
  • Venue Dubai

Quality Policy

 Providing services with a high quality that are satisfying the requirements
 Appling the specifications and legalizations to ensure the quality of service.
 Best utilization of resources for continually improving the business activities.

Technical Team

BTS keen to selects highly technical instructors based on professional field experience

Strengths and capabilities

Since BTS was established, it considered a training partner for world class oil & gas institution

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