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applied ai machine learning course

applied ai machine learning course
4 to 360 hours of flexible workload
certificate valid in your country

What Will I Learn?

The Applied AI Machine Learning Course teaches you how to convert business objectives into quantifiable ML targets, develop personalisation systems, and construct sturdy data pipelines. You will learn model selection, ranking frameworks, and training best practices, followed by deployment via scalable APIs with CI/CD. Additionally, you will gain expertise in evaluation, monitoring, and ethical AI to ensure your recommendations remain precise, dependable, and in line with essential KPIs.

Elevify Advantages

Develop Skills

  • Business-first ML design: convert product KPIs into specific, high-impact ML tasks.
  • Production ML systems: design swift, scalable APIs and serving architectures.
  • Feature engineering for personalisation: create detailed user, item, and behavioural signals.
  • Ranking and retrieval modelling: build, fine-tune, and evaluate modern recommender models.
  • Online experimentation and monitoring: conduct A/B tests and monitor ML performance securely.

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 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 supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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