Basic AI Course
This course provides a practical introduction to building and deploying ethical text classification AI models using machine learning techniques like Naive Bayes and logistic regression.
flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
The Basic AI Course offers a quick, hands-on way to create and enhance actual text classifiers. You will grasp key AI and machine learning ideas, prepare data, use TF-IDF features, Naive Bayes, and logistic regression. You will practise assessing, analysing errors, and human-in-the-loop processes, then look into ethics, privacy, and deployment to confidently launch dependable, ethical AI systems.
Elevify advantages
Develop skills
- Build text classifiers: train, tune, and evaluate simple AI models quickly.
- Engineer text features: clean, tokenise, and apply TF-IDF for improved accuracy.
- Analyse model errors: use confusion matrices and failure cases to debug.
- Apply responsible AI: handle PII, bias, and human oversight in support data.
- Plan real deployments: monitor models, run A/B tests, and scale pipelines.
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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