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AI Mastery Course

AI Mastery Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

This course provides a practical path to design, build, and deploy reliable AI assistants. Learners master production architectures, RAG and code-aware models, prompt engineering, data pipelines for developer queries, safety protocols, privacy, evaluation, observability, plus implementation roadmap including testing, CI/CD, and cost optimisation for scalable production deployment.

Elevify advantages

Develop skills

  • Design AI system architectures using queues, vector databases, caching, and webhooks.
  • Build RAG pipelines with 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 using CI/CD, A/B tests, and live observability.

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

I was just promoted to Intelligence Advisor of the Prison System, and the course from Elevify was crucial for me to be chosen.
EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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