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3. [Second Semester](/section/second-semester) /
4. Artificial Intelligence &amp; Machine Learning Applications

Second Semester

Artificial Intelligence &amp; Machine Learning Applications
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Level :

Professional

Price

1500 GBP 

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Training Path Description

Learn AI applications and machine learning to build practical models and evaluate them using real examples.

This course offers a hands-on journey in Artificial Intelligence applications and machine learning—from understanding the problem to building a working model. You’ll learn core ML concepts, data preparation, choosing the right algorithms, training models, and evaluating performance. You’ll also apply these skills to realistic use cases like classification and prediction to improve decision-making. By the end, you’ll have a solid foundation to build and iterate intelligent, scalable solutions.

Accredited certificate

Get an accredited attendance certificate for the training

What Will You Gain?
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Skills related to the course
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- - Build machine learning models for real use cases
- - Data cleaning, preparation, and splitting
- - Choose and apply algorithms in practice
- - Use evaluation metrics and interpret results
- - Develop a repeatable, improvement-oriented solution approach

Training Path Objectives
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- - Understand the difference between AI and machine learning
- - Prepare data for different tasks (classification/prediction)
- - Select suitable algorithms and train effective models
- - Evaluate models using appropriate metrics and improve them
- - Present a solution built on an ML model in a clear, scalable way

- Practical, ready-to-use models

- Focus on data preparation and performance evaluation

- Hands-on real use cases (classification/prediction)

- Understand the ML model lifecycle from start to deployment

Training Path Topics
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