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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 lessons 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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