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FREE INTRODUCTORY SAMPLE
An introduction to artificial intelligence
Understand how inputs become predictions, what changes during training, and why models need evaluation on new data.
- Lessons
- 2 text lessons
- Video lectures
- None in this sample
- Cost
- Free
- Certificate
- Not awarded for this sample
What will you learn?
- Calculate the output of a simple linear model.
- Distinguish prediction, training, and evaluation.
- Explain the role of data not used for training.
Lessons
- From input to prediction
- Training is more than remembering answers
Do I need prior knowledge or a computer?
Basic arithmetic; this introduction does not require programming experience.
Works on a phone. A laptop or desktop is recommended for practice when available.
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Proposed format for full courses
This is a proposed full-course format, not a current enrollment offer. The free sample above does not include these services.
- Enroll at any time once the course opens for enrollment.
- One year of access from enrollment activation.
- Video lectures with Arabic subtitles; the count stated before enrollment.
- Assessments and a final project with published passing requirements.
- A Polaris Certificate of Completion after meeting the course requirements.
Licensed content, lecture count, fees, and support scope will be specified before enrollment. A Polaris certificate is independent, not a credential from a source university or a professional license.