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Python AI Course

Python AI Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This course equips you to tackle real-world prediction challenges, handle data using pandas and NumPy, and create strong models with scikit-learn plus optional deep learning techniques. Gain skills in feature engineering, train-test splits, hyperparameter optimisation, key evaluation metrics, model interpretability via SHAP and LIME, and effective reporting to build complete, results-driven AI solutions.

Elevify advantages

Develop skills

  • Craft AI solutions aligned to business goals by converting KPIs into precise prediction targets.
  • Streamline data preparation in Python: clean, transform, and create features swiftly with pandas and scikit-learn.
  • Train and optimise models effectively: develop balanced classifiers and fine-tune hyperparameters using scikit-learn.
  • Assess and track model performance: choose metrics, validate rigorously, and monitor for drift in live environments.
  • Deliver transparent AI insights: apply SHAP values, craft reports, and use visuals to engage stakeholders confidently.

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.
Workload: between 4 and 360 hours

What our students say

As suas aulas são perfeitas. Adquiri o pacote de um ano e, finalmente, tenho a oportunidade de acompanhar diversos temas do meu interesse sem precisar mudar de plataforma... agradeço por tudo o que fazem, já recomendei vocês a outras pessoas...
Giulio Carlo
Giulio CarloAluno de Marketing Digital
Eu gosto de como as lições são direto ao ponto e como eu consigo alterar capítulos e pular conteúdos que não preciso.
Mariana Ferres
Mariana FerresAluna de Fotografia
Gosto do conteúdo e do modo de apresentação e transcrição de vídeos, o que acelera o processo!
Luciana Alvarenga
Luciana AlvarengaAluna de Design de Unhas
A plataforma é rápida, simples de usar. A diversidade de conteúdo e os vídeos complementares ajudam muito no aprendizado.
Giulio Carlo
Giulio CarloAluno de Engenharia de Prompt

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