Basic AI Course
This course introduces foundational AI and machine learning concepts through hands-on text classification projects, covering data preparation, model training with Naive Bayes and logistic regression, performance evaluation, error analysis, ethical considerations, and deployment strategies for reliable AI systems.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
The Basic AI Course provides a quick, hands-on way to create and enhance actual text classifiers. You will grasp essential AI and machine learning ideas, prepare data, use TF-IDF features, Naive Bayes, and logistic regression. Gain practice in assessing performance, examining errors, and incorporating human-in-the-loop processes, then delve 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: utilise confusion matrices and failure cases to troubleshoot.
- Apply responsible AI: handle PII, bias, and human oversight in supporting data.
- Plan real deployments: monitor models, conduct A/B tests, and scale pipelines.
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 workloadWhat our students say
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