Machine Learning Crash Course
Machine Learning Crash Course shows tech professionals how to turn messy support tickets into smart priority predictions, using practical models, text features, and metrics you can deploy fast to cut response times and improve customer experience.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Machine Learning Crash Course gives you a fast, practical path from raw text and metadata to reliable ticket priority models. Learn data cleaning, categorical encoding, text preprocessing, and feature engineering with TF-IDF, embeddings, and keyword flags. Build and evaluate models using clear metrics, error analysis, and thresholding, then integrate them safely into real workflows with monitoring, iteration, and risk awareness.
Elevify advantages
Develop skills
- Frame ML ticket models: define inputs, outputs, labels, and success in days.
- Build fast text features: clean text, encode metadata, and apply TF-IDF.
- Train quick POC models: logistic regression, trees, and simple ensembles.
- Evaluate safely: pick business-aware metrics, analyze errors, tune thresholds.
- Deploy lightweight ML: monitor drift, manage risks, and refine with human feedback.
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 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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