NLP with Machine Learning Course
This course equips learners with essential skills to build, deploy, and manage production-ready NLP systems using machine learning, focusing on practical implementation and safety.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
This NLP with Machine Learning Course shows you how to define support and QA requirements, clean and normalize real-world text, select and profile public datasets, and choose the right classic or transformer models. You will learn retrieval, evaluation metrics, monitoring, risk mitigation, and deployment patterns so you can build reliable, scalable assistants that deliver accurate, safe, and measurable results in production.
Elevify advantages
Develop skills
- Build NLP pipelines: design tokenization, cleaning, and entity handling fast.
- Fine-tune transformers: adapt BERT-style models for real-world support tasks.
- Architect NLP systems: deploy APIs, retrieval indexes, and low-latency models.
- Evaluate models: choose metrics, run A/B tests, and tune for business KPIs.
- Govern AI safely: mitigate bias, protect PII, and monitor NLP assistants.
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 are saying
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to switch platforms... I thank you for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the presentation style and video transcription, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.

André FelipePrompt Engineering Student
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