Engineering essentials

Data engineering for mechanical engineers

This course is specifically designed for the needs of Industry 4.0, providing you with the necessary skills to create and manage databases, clean and process raw data, work with streaming data from IoT sensors, and handle large amounts of data.

2 days

Next available:

Members: £1,095 + VAT
Non-members: £1,350 + VAT
New for 2024

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
Data engineering for mechanical engineers
10% early bird discount applied
Hurry! 117 days left
Members:
£1,095.00 £985.50 Plus vat
Non Members:
£1,350.00 £1,215.00 Plus vat

Summary

This course is specifically designed for the needs of Industry 4.0, providing you with the necessary skills to create and manage databases, clean and process raw data, work with streaming data from IoT sensors, and handle large amounts of data.

This course is tailored for the evolving needs of engineers in the industry 4.0 era. It addresses the growing integration of IoT and big data in engineering, focusing on practical skills for data handling and analysis where traditional tools like Microsoft Excel fall short.

The course offers a unique blend of theoretical knowledge and practical application, ensuring you are well-prepared for data-centric projects, enhancing your ability to design, implement, and maintain sophisticated engineering systems. Moreover, it's an opportunity to stay ahead in your field with cutting-edge knowledge and expand your professional network.

Pre-requisite course

To book onto this course, you must complete Foundation Python.

Foundation Python for engineers

Who should attend?

This course is suitable for engineers from a broad range of engineering disciplines who are seeking to develop their skills in AI and data.

How will I benefit?

After the course you will be able to:

  • Apply cutting-edge data engineering skills to engineering applications
  • Work with large-scale, complex engineering datasets
  • Utilise Python and SQL for efficient data analysis and manipulation
  • Contribute to the rapidly evolving field of Industry 4.0, smart cities and smart manufacturing
  • Work with IoT sensor data to manage and process big and complex engineering datasets
  • Improve your employability and open-up new career opportunities
  • Access to networking opportunities with other professionals interested in data engineering
  • Receive detailed insight from expert instructors who can provide guidance on your AI challenges and career path

Contributes 14 CPD hours

Key topics

  • Fundamentals of data engineering in the context of engineering systems
  • Python programming for data engineering, including libraries like NumPy and pandas
  • Advanced SQL operations for data storage and analysis
  • Real-time data collection from IoT sensors and their integration with Azure services
  • Techniques for complex data retrieval and management
  • Working with different types of engineering datasets
  • Strategies for efficient problem-solving in scripts
 

 

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 Data engineering for mechanical engineers.

  • 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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Tell us your team's CPD needs and we'll come to you with a specialised training programme, customised for your engineering sector.
Contact our advisors if you need help finding the most appropriate training for your team.

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At a glance

  • Duration:
    2 days
  • Location:
    London
  • CPD Hours:
    14
  • Pre-requisite:
    To book onto this course, you must have prior knowledge of Python
  • UK-Spec:
    A, B, E

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Available dates for Data engineering for mechanical engineers

2 day course

London
11-12 Nov 2024 10% discount available until 11 September

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Non-members: £1,350 +VAT

New for 2024

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