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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 handling support tickets. You will 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, connect, track, and enhance systems while ensuring solid safety, privacy, and risk management.

Elevify advantages

Develop skills

  • Framing ML problems: quickly convert chaotic support objectives into straightforward ML jobs.
  • Data pipelines: plan, tidy, tag, and divide actual support ticket information.
  • Text modelling: develop strong classifiers using CNN, RNN, and Transformers.
  • Answer creation: design secure, adjusted retrieval-plus-generation processes.
  • MLOps for support: roll out, watch, 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 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 change 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 help a lot with learning.
André Felipe
André FelipePrompt Engineering Student

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