Computer Science Artificial intelligence Course
Gain expertise in practical AI for tabular binary classification. The course covers data cleaning, exploratory data analysis, model selection and tuning, evaluation metrics, interpretability techniques, and ethical deployment practices to develop reliable, trustworthy AI systems suitable for real-world tech applications in Kenya and beyond.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course equips you with skills to create robust tabular binary classification systems from the ground up. You'll master data cleaning, preprocessing, feature engineering, and exploratory data analysis, then advance to model selection, training, tuning, and evaluation using practical metrics and visual tools. It also addresses sourcing datasets, ensuring interpretability, auditing for bias, protecting privacy, and deploying safely for accurate, fair, and production-ready AI solutions.
Elevify advantages
Develop skills
- Build clean ML datasets by handling imbalances, encoding features, and scaling numeric data.
- Conduct rapid EDA to identify leaks, outliers, missing values, and quality issues.
- Train and tune ML models including baselines, tree ensembles, and optimal hyperparameters.
- Evaluate AI systems using binary metrics, ROC/PR curves, thresholds, and SHAP explanations.
- Deploy AI securely by monitoring drift, auditing bias, and safeguarding user privacy in production.
Suggested summary
Before starting, you can change the chapters and 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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