What you will gain
- A theoretical and practical understanding of RAG architectures to connect a LLM to proprietary data.
- Orchestration skills to design autonomous multi-task agents (LangChain / LangGraph).
- Essential concepts of API security, cost evaluation, and latency optimization in production.
Target outcomes
- Leverage LLMs via APIs and prompt engineering
- Design a data architecture for AI
- Implement a RAG pipeline
- Build and orchestrate AI agents
Prerequisites
- Basic computer and office software skills
IT
Instructor
Imane Tahiri
LLM Engineer
This training is designed to quickly turn understanding into execution capacity, with a clear, concrete and directly applicable format.
MA
Support Instructor
Mehdi Amrani
Full-Stack Lead
This instructor participates in delivery and support to ensure personalized guidance for each student.
