Engineering essentials

Building AI models with engineering datasets

Gain deep insights into building robust AI models, handling complex engineering datasets, and transforming traditional workflows into efficient, AI-driven processes.

1 day

Next available:

Members: £550 + VAT
Non-members: £650 + VAT
New for 2023

I truly believe AI will have a significant positive impact on the economy when applied to mechanical engineering applications. With this course, we strive to make the path to its adoption more clear to the participants.

- Ali Parandeh – Lead Trainer

Course Location & Date
Building AI models with engineering datasets
10% early bird discount applied
Hurry! 118 days left
£550.00 £495.00 Plus vat
Non Members:
£650.00 £585.00 Plus vat


Gain deep insights into building robust AI models, handling complex engineering datasets, and transforming traditional workflows into efficient, AI-driven processes.

The integration of artificial intelligence (AI) into engineering is revolutionising how we analyse data, make predictions, and optimise processes. However, harnessing AI's power in engineering applications requires a specific skill set, a comprehensive understanding of AI methodologies, and the ability to manage and interpret complex engineering datasets.

By attending this course, you will gain a comprehensive understanding of how to construct robust AI models, handle complex engineering datasets, and integrate these models into your engineering workflows. This course will empower you to improve your organisation's efficiency, decision-making, and innovation, enabling you to stay at the forefront of the rapidly evolving engineering landscape.

We recommend that you are proficient in Python programming to truly benefit from this course.

Who should attend?

Design or maintenance engineers, senior and principal engineers and technical leads who has responsibility for innovation and implementing improvement processes in the organisation. 

Please note:
We require delegates to bring to the course a laptop/device with Python 3.6 or later or Anaconda installed. We use git bash for code repositories and running commands.

Instructions for downloading this software for free will be included in the course joining instructions. It is the delegate's responsibility to ensure that they have access to the necessary software prior to arriving.

How will I benefit?

  • Develop skills to manage and analyse complex engineering datasets.
  • Gain proficiency in building, training, and validating AI models.
  • Improve your understanding of the AI landscape within engineering applications
  • Learn to interpret the results of AI models and communicate these insights effectively.
  • Understand how to integrate AI solutions into existing engineering systems and workflows.
  • Enhance your ability to manage AI projects from conception to deployment.
  • Understand the ethical implications of AI and learn to develop and use AI models responsibly.
  • Stay updated with the latest trends and advancements in AI.
  • Improve your employability and open-up new career opportunities
  • Increase your awareness of the ethical considerations surrounding AI
  • Enhance your ability to scope AI projects
  • Better identify the use-cases for AI in your engineering workflows
  • Obtain comprehensive understanding of how AI works
  • Learn how to build your own AI tools
  • Improve your ability to communicate effectively with clients and stakeholders about AI
  • Access to networking opportunities with other professionals interested in AI in engineering
  • Access to expert instructors who can provide guidance and answer questions
Contributes 7 CPD hours

Key topics

  • Understanding the AI landscape within engineering applications
  • Building and utilising own AI tools
  • Ethical considerations in AI
  • Scoping AI projects
  • Identifying use-cases for utilising AI in engineering workflows
  • Providing intuitive understanding of how AI works

Mapped against UK- SPEC competencies: A, B and E

  1. Knowledge and understanding - For Chartered Engineers: ‘Use a combination of general and specialist engineering knowledge and understanding to optimize the application of existing and emerging technology’ For Incorporated Engineers: ‘Use a combination of general and specialist mechanical engineering knowledge and understanding to apply existing and emerging technology’
  2. Design and development of processes, systems, services and products - For Chartered Engineers: ‘Apply appropriate theoretical and practical methods to the analysis and solution of mechanical engineering problems’ For Incorporated Engineers ‘Apply appropriate theoretical and practical methods to design, develop, manufacture, construct commission, operate, maintain, decommission and re-cycle mechanical engineering processes, systems, services and products’
  3. Professional commitment - For Incorporated and Chartered Engineers: ‘Demonstrate a personal commitment to professional standards, recognising obligations to society, the profession and the environment’

Meet our trainers

These trainers regularly teach Building AI models with engineering datasets.

  • OMD_9238

    Ali Parandeh CEng

    Ali Parandeh started his career as a mechanical engineering consultant at a large multinational consultancy. Once becoming a Chartered Engineer (CEng) member of the IMechE, he switched careers into building AI powered products and data analytic solutions.

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Contact our advisors if you need help finding the most appropriate training for your team.


At a glance

  • Duration:
    1 day
  • Location:
  • CPD Hours:
  • UK-Spec:
    A, B, E

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Available dates for Building AI models with engineering datasets

1 day course

20 Nov 2024 10% discount available until 20 September

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We can customise any of our courses and deliver them in-house, for your entire team. It could also save you money, especially as you would save travel time.

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Members: £550 + VAT

Non-members: £650 +VAT

New for 2023

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