Artificial Intelligence Engineering Course
What will I learn?
Give your engineering career a real boost with our Artificial Intelligence Engineering Course, tailored for professionals keen to use AI in manufacturing. Delve into data collection, management, and preprocessing methods, getting to grips with data normalisation, cleaning, and transformation. Explore how AI can be applied in manufacturing, including process optimisation and predictive analytics. Get the hang of machine learning algorithms like neural networks and decision trees, and hone your skills in model evaluation, technical documentation, and implementing AI models using Python, TensorFlow, and scikit-learn.
Apoia's Advantages
Develop skills
Strengthen the development of the practical skills listed below
Master data acquisition: Gather and manage all sorts of data sources efficiently.
Optimise processes: Put AI to work to boost manufacturing efficiency.
Create visual reports: Develop data visualisations that are clear and make an impact.
Build AI models: Design predictive models using TensorFlow and Python.
Evaluate performance: Use metrics to fine-tune and improve AI solutions.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.