AI Mastery Course
The AI Mastery Course equips tech professionals to design, build, and deploy reliable AI assistants. It covers system architecture, RAG pipelines, LLM integration, safety measures, performance metrics, and cost control, enabling confident launch of production-grade AI features.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course provides a practical path to designing, building, and deploying reliable AI assistants. You will learn production architectures, RAG and code-aware modeling, prompt design, data pipelines for developer Q&A, safety, privacy, evaluation, observability, plus a roadmap with testing, CI/CD, and cost optimization for scalable deployment.
Elevify advantages
Develop skills
- Design AI system architectures with queues, vector databases, caching, and webhooks.
- Build RAG pipelines using embeddings, chunking, reranking, and secure retrieval.
- Translate AI product needs into clear SLAs, metrics, and acceptance tests.
- Implement AI safety through 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 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 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 FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.

André FelipePrompt Engineering Student
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