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Artificial Intelligence Engineering Course
Advance your engineering career with our Artificial Intelligence Engineering Course, tailored for professionals keen to utilize AI in manufacturing contexts. Delve into the collection, management, and preprocessing of data, mastering techniques such as data normalization, cleaning, and transformation. Investigate AI applications within manufacturing, focusing on process optimization and predictive analytics. Develop expertise in machine learning algorithms, including neural networks and decision trees, and hone your abilities in model evaluation, technical documentation, and the practical implementation of AI models using Python, TensorFlow, and scikit-learn.
- Master data acquisition: Effectively gather and manage data from various sources.
- Optimize processes: Implement AI to improve manufacturing efficiency.
- Create visual reports: Develop data visualizations that are clear and impactful.
- Build AI models: Design predictive models using TensorFlow and Python.
- Evaluate performance: Use metrics to refine and improve AI solutions.

flexible workload from 4 to 360h
certificate recognized by the MEC
What will I learn?
Advance your engineering career with our Artificial Intelligence Engineering Course, tailored for professionals keen to utilize AI in manufacturing contexts. Delve into the collection, management, and preprocessing of data, mastering techniques such as data normalization, cleaning, and transformation. Investigate AI applications within manufacturing, focusing on process optimization and predictive analytics. Develop expertise in machine learning algorithms, including neural networks and decision trees, and hone your abilities in model evaluation, technical documentation, and the practical implementation of AI models using Python, TensorFlow, and scikit-learn.
Elevify advantages
Develop skills
- Master data acquisition: Effectively gather and manage data from various sources.
- Optimize processes: Implement AI to improve manufacturing efficiency.
- Create visual reports: Develop data visualizations that are clear and impactful.
- Build AI models: Design predictive models using TensorFlow and Python.
- Evaluate performance: Use metrics to refine and improve AI solutions.
Suggested summary
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