A full week of hands-on technical immersion designed to bridge the gap between proof-of-concept prototypes and production-grade deployments. Led by experienced researchers and practitioners, you will dive deep into modern RAG architectures, multi-agent orchestration, and real-world deployment challenges spanning observability, latency, and sovereign hosting.
What you will gain
- Advanced RAG architectures & vector databases
- Autonomous agent orchestration (LangGraph)
- Full production deployment with capstone project
Target outcomes
- Master modern Python libraries and patterns for AI engineering
- Integrate and fine-tune LLM capabilities via structured APIs
- Implement production-grade RAG systems with vector databases
- Orchestrate multi-agent systems using LangGraph
- Deploy resilient, tested, and observable AI services
Prerequisites
- Programming foundations (algorithmic logic). Basic Python required; refresher module included.
Detailed Curriculum
5 intensive days of production-grade AI software engineering:
- Day 1 — Modern Python foundations for AI engineering and architecture patterns.
- Day 2 — LLM internals, structured API querying, and advanced prompt engineering.
- Day 3 — Production RAG: dense embeddings, vector stores, hybrid search, and ranking.
- Day 4 — Autonomous Multi-Agent Orchestration with LangGraph and n8n.
- Day 5 — Production deployment: observability, caching, evaluation, testing, and capstone launch.
Masterclass Use Cases
Applications engineered and deployed live in class:
- High-precision RAG assistant querying internal multi-format document repositories
- Autonomous multi-step agent capable of reasoning and executing external API tools
- Production-ready, horizontally scalable AI web application deployed to cloud infrastructure
Deliverables & Transversal Modules
Deliverable: A complete production-ready AI application deployed to the cloud.
Transversal modules: Psychology of Change · Ethics & EU AI Act.
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Instructor
Anass Nouri
AI Program Director & Strategy Lead
This training is designed to quickly turn understanding into execution capacity, with a clear, concrete and directly applicable format.
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Support Instructor
Idriss Moumen
Enterprise AI & Automation Specialist
This instructor participates in delivery and support to ensure personalized guidance for each student.
