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AI Engineering Course

4/5
AI Engineering Course
4.0 rating
4 to 360 hours of flexible workload
certificate valid in your country

What Will I Learn?

This course equips you to design, test, and deploy reliable AI systems from start to finish. Master aligning AI solutions with business objectives, risk management, optimal model and data selection, and resilient architectures. Gain hands-on skills in prompt engineering, safety measures, observability, monitoring, and documentation to confidently deliver scalable, compliant, impactful AI features.

Elevify Advantages

Develop Skills

  • AI risk and safety engineering: identify failure modes, align stakeholders, secure data.
  • Expert model selection: evaluate GPT, Claude, Llama, and APIs for practical applications.
  • Prompt and guardrail design: develop secure, reliable, version-controlled prompts efficiently.
  • Robust AI testing: create unit, prompt, and evaluation tests to detect issues early.
  • Production AI operations: implement monitoring, logging, and rollback with defined SLOs and procedures.

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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