Machine Learning and Deep Learning Course
5/5
Master machine learning and deep learning for support ticket AI. Learn data design, text preprocessing, model training, evaluation, and deployment to build accurate, safe, and scalable classification and answer-suggestion systems for real-world tech environments.

5.0 in evaluation
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Machine Learning and Deep Learning Course gives you a fast, practical path to building reliable support ticket AI. Learn to frame problems, design high-quality datasets, and prepare text with modern embeddings. Master classification and answer suggestion models, evaluation metrics, A/B testing, and optimization. Finally, integrate, monitor, and improve systems with strong safety, privacy, and risk controls.
Elevify advantages
Develop skills
- ML problem framing: turn messy support goals into clear ML tasks fast.
- Data pipelines: design, clean, label, and split real support ticket data.
- Text modeling: build robust classifiers with CNN, RNN, and Transformers.
- Answer generation: craft safe, tuned retrieval-plus-generation workflows.
- MLOps for support: deploy, monitor, and improve ticket AI in production.
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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