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

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
The AI Mastery Course provides a practical, end-to-end path to designing, building, and deploying reliable AI assistants. Learn production architectures, RAG and code-aware modelling, prompt design, and data pipelines for developer Q&A. Master safety, privacy, evaluation, and observability, then follow a clear implementation roadmap with testing, CI/CD, and cost optimisation to move 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 the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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