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Machine Learning and Deep Learning Course

4.3/5
Machine Learning and Deep Learning Course
4.3 in the evaluation
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This Machine Learning and Deep Learning Course provides a quick, hands-on way to create dependable AI for support tickets. You will learn to define problems, create quality datasets, and process text using current embeddings. Gain expertise in classification and answer suggestion models, assessment measures, A/B testing, and refinement. Lastly, combine, oversee, and enhance systems with solid safety, privacy, and risk management.

Elevify advantages

Develop skills

  • ML problem framing: convert chaotic support objectives into precise ML assignments swiftly.
  • Data pipelines: plan, purify, tag, and divide actual support ticket information.
  • Text modeling: develop sturdy classifiers using CNN, RNN, and Transformers.
  • Answer generation: design secure, adjusted retrieval-plus-generation processes.
  • MLOps for support: launch, track, and upgrade ticket AI in live settings.

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.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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