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Machine Learning and Deep Learning Course

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

What will I learn?

This Machine Learning and Deep Learning Course provides a quick, hands-on way to develop dependable AI for handling support tickets. You'll learn how to define problems properly, create top-notch datasets, and process text using current embedding techniques. Gain expertise in classification models and suggesting answers, along with assessment measures, A/B testing, and fine-tuning. Lastly, incorporate, track, and enhance systems while ensuring solid safety, privacy, and risk management.

Elevify advantages

Develop skills

  • Framing ML problems: quickly convert disorganised support objectives into straightforward ML jobs.
  • Data pipelines: plan, tidy, tag, and divide actual support ticket information.
  • Text modelling: develop sturdy classifiers using CNN, RNN, and Transformers.
  • Answer generation: design secure, adjusted retrieval-plus-generation processes.
  • MLOps for support: roll out, oversee, and upgrade ticket AI in live settings.

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.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get 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 the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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