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Artificial Intelligence Engineering Course
Take your engineering career to the next level with our Artificial Intelligence Engineering Course, which is meant for professionals who are keen to use AI in manufacturing. Learn about data collection, management, and preprocessing techniques, mastering data normalization, cleaning, and transformation. Discover how AI can be used in manufacturing, including to improve processes and predict what will happen in the future. Gain knowledge of machine learning algorithms like neural networks and decision trees, and improve your skills in model evaluation, technical documentation, and putting AI models into practice using Python, TensorFlow, and scikit-learn.
- Master data acquisition: Collect and manage different data sources effectively.
- Optimize processes: Use AI to make manufacturing more efficient.
- Create visual reports: Develop data visualizations that are clear and have an impact.
- Build AI models: Design models that predict what will happen, using TensorFlow and Python.
- Evaluate performance: Use measurements to improve AI solutions.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Take your engineering career to the next level with our Artificial Intelligence Engineering Course, which is meant for professionals who are keen to use AI in manufacturing. Learn about data collection, management, and preprocessing techniques, mastering data normalization, cleaning, and transformation. Discover how AI can be used in manufacturing, including to improve processes and predict what will happen in the future. Gain knowledge of machine learning algorithms like neural networks and decision trees, and improve your skills in model evaluation, technical documentation, and putting AI models into practice using Python, TensorFlow, and scikit-learn.
Elevify advantages
Develop skills
- Master data acquisition: Collect and manage different data sources effectively.
- Optimize processes: Use AI to make manufacturing more efficient.
- Create visual reports: Develop data visualizations that are clear and have an impact.
- Build AI models: Design models that predict what will happen, using TensorFlow and Python.
- Evaluate performance: Use measurements to improve AI solutions.
Suggested summary
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