Python AI ML Course
This hands-on Python course focuses on building production-ready AI and ML models for e-commerce, covering pipelines, feature engineering, model training, evaluation, monitoring, and deployment with FastAPI.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Master real-world AI and ML with Python in a focused, hands-on course. You will work with e‑commerce style datasets, build robust feature pipelines, train and tune models like logistic regression, random forests, XGBoost, and LightGBM, and evaluate them with business-focused metrics. Learn FastAPI serving, monitoring, drift detection, retraining strategies, and A/B testing so your models are reliable, explainable, and ready for production.
Elevify advantages
Develop skills
- Production ML pipelines: build sklearn, LightGBM, and FastAPI flows fast.
- E‑commerce modeling: design conversion and ranking models that lift revenue.
- Model evaluation: master ROC‑AUC, PR‑AUC, top‑k, and business‑driven metrics.
- Monitoring in production: track drift, stability, and model performance in real time.
- Feature engineering: craft RFM, session, and behavioral features that boost accuracy.
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
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 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 FerresAluna de Fotografia
Gosto do conteúdo e do modo de apresentação e transcrição de vídeos, o que acelera o processo!

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 CarloAluno de Engenharia de Prompt
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