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Artificial Intelligence Engineering Course

What will I learn?

Boost your engineering career with our Artificial Intelligence Engineering Course, tailored for professionals keen on using AI in manufacturing. Dig deep into data collection, management, and preprocessing methods, mastering data normalisation, cleaning, and transformation. Explore how AI can be used in manufacturing, including making processes better and predicting what will happen. Get good at using machine learning algorithms like neural networks and decision trees, and sharpen your skills in checking how well models work, writing technical documents, and putting AI models into action using Python, TensorFlow, and scikit-learn.

Apoia's Unique Features

Online course with lifetime access
Certificate aligned with educational standards
Printable PDF summaries
Online support always available
Select and arrange the chapters you wish to study
Customize your course workload
Instant feedback on practical activities
Study anytime, no internet connection required

Develop skills

Enhance the growth of the practical skills listed below

Become a master at data acquisition: Gather and manage different types of data sources effectively.

Make processes better: Use AI to improve how well manufacturing works.

Create visual reports: Develop data visualisations that are easy to understand and have a big impact.

Build AI models: Design models that can predict things using TensorFlow and Python.

Check performance: Use measurements to make AI solutions better and more refined.

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can modify the chapters and the workload.

  • Select which chapter to commence with
  • Add or remove chapters
  • Increase or decrease the course workload

Examples of chapters you can include

You’ll be able to generate additional chapters similar to the examples below

This is a free course focused on personal and professional growth. It does not equate to a technical, undergraduate, or postgraduate qualification, but offers practical and relevant knowledge for your professional journey.