CODE: EN20
DURATION: 5 Days/10 Days
CERTIFICATIONS: CPD
This course provides engineering professionals with fundamental AI principles and practical implementation skills, covering machine learning algorithms, neural networks, and AI system design for solving complex engineering problems. Through practical exercises and various case studies, participants will be able to design, implement, and evaluate AI solutions for real-world engineering applications, bridging the gap between theoretical AI concepts and practical engineering implementation.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Implement machine learning algorithms for engineering applications.
Design and train neural networks for pattern recognition and prediction.
Preprocess and analyze engineering data for AI solutions.
Deploy AI models in production environments.
Evaluate AI system performance and limitations.
Integrate AI components into larger engineering systems.
At the end of this course, you’ll understand:
This course is ideal for engineers, software developers, and data scientists seeking to apply AI in engineering contexts. It also suits system architects, automation specialists, and technical professionals working on AI-powered products, smart devices, or industrial automation. Professionals aiming to develop practical skills in machine learning, deep learning, and AI integration for real-world engineering problems will benefit most.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
