AI Mastery Course
This course equips developers with hands-on skills to build, deploy, and maintain production-ready AI assistants, covering architecture, RAG, safety, and scalable deployment practices.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
The AI Mastery Course provides a practical, complete guide to designing, building, and deploying reliable AI assistants. You'll learn production architectures, RAG and code-aware modelling, prompt design, and data pipelines for developer Q&A. Gain expertise in safety, privacy, evaluation, and observability, then follow a straightforward implementation plan with testing, CI/CD, and cost optimisation to progress from prototype to stable, scalable deployment.
Elevify advantages
Develop skills
- Design AI system architectures: queues, vector DBs, caching, and webhooks.
- Build RAG pipelines: embeddings, chunking, reranking, and secure retrieval.
- Translate AI product needs into clear SLAs, metrics, and acceptance tests.
- Implement AI safety: PII protection, secret scanning, filters, and access control.
- Deploy and monitor LLM apps with CI/CD, A/B tests, and live observability.
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.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 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 FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!

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 CarloPrompt Engineering Student
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