Paris, France
Description :
This two-day training immerses you in generative AI and the integration of large language models (LLMs). You will learn to orchestrate processing pipelines, deploy intelligent agents, and connect your applications to OpenAI, HuggingFace, and other cutting-edge APIs.
Learning Objectives:
- Understand how LLMs work and their business use cases.
- Implement RAG (Retrieval-Augmented Generation) pipelines with vector stores and contextual memories.
- Orchestrate multi-step AI agents using LangChain, LlamaIndex, or equivalents.
- Deploy and monitor an AI assistant in production via API.
Target Audience:
Developers, data scientists, and ML engineers aiming to build conversational and agentic applications.
Duration:
2 days (9:00–12:30 & 13:30–17:00).
Number of Participants:
Maximum 12 participants.
Prerequisites:
Proficiency in Python and basic machine learning; access to an OpenAI (or equivalent) API account.
Program:
Day 1: Fundamentals & RAG
- Introduction to LLMs and vector architectures.
- Document indexing and contextual generation (RAG).
- Workshop: build a semantic search engine.
- Using LlamaIndex or alternatives.
Day 2: Agents & Production
- Orchestrate AI agents with LangChain (flows, memories, callbacks).
- Deploy an autonomous agent (Auto-GPT, BabyAGI, Devin).
- Testing, monitoring, and cost management.
- Final workshop: create and production-deploy a business agent.
Pricing:
- Open enrollment: €1,400 excl. VAT per participant
- In-house: on request, tailored to your needs
Methods Employed:
- Theoretical presentations and demonstrations
- Guided practical workshops
- Mini integration project
Evaluation:
- Positioning quizzes at the start and end of training
- Project review and personalized feedback
Delivery Mode:
Available in-person or via videoconference (Microsoft Teams). A computer with Python and Internet access is required.
Accessibility:
Our sessions are accessible to people with disabilities. Please contact accessibility@eurekia-learning.com to arrange accommodations.
Our sessions are accessible to people with disabilities. Please contact accessibility@eurekia-learning.com to arrange accommodations.
Contacts:
- Quality referent: Jihane Khouzaimi (06 69 53 77 75 – contact@eurekia-learning.com)
- Pedagogical referent: Hatim Khouzaimi
Note:
This training provides you with all the tools to design and deploy robust AI assistants and intelligent agents.
