Computer Science Artificial intelligence Course
This course provides a comprehensive introduction to building robust binary classification systems using machine learning, covering data preparation, model training, evaluation, and ethical deployment practices.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Artificial Intelligence Course in Computer Science shows you how to create strong systems for classifying binary data in tables from the ground up. You will get to know about cleaning data, preparing it, creating features, and doing exploratory data analysis, then go on to choosing models, training them, adjusting, and checking with real measures and pictures. The course also talks about finding datasets, understanding models, checking for bias, keeping privacy, and putting them out safely so your AI fixes are right, fair, and ready for real use.
Elevify advantages
Develop skills
- Build clean machine learning datasets: deal with imbalance, code features, and adjust number data.
- Do quick exploratory data analysis: find leaks, odd ones out, missing parts, and problems with data quality.
- Train and adjust machine learning models: start with basics, use tree groups, and pick good settings.
- Check AI systems: use binary measures, ROC/PR lines, cut-off points, and SHAP.
- Put AI out safely: watch for changes, check bias, and guard user privacy in real work.
Suggested summary
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.What our students say
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