Professional Training

    LLMs & RAG Training

    Master Large Language Models, RAG, and AI agents to develop high-performance generative AI applications

    Hands-on Learning

    50% of time dedicated to practical application

    3 to 6 days of training

    Choose the modules that interest you

    Experienced Trainer

    Over 10 years of experience in AI and data

    Custom quote

    Tailored pricing based on your needs and team size

    About This Training

    LLMs (Large Language Models) offer numerous possibilities: code assistants, translation, image generation, writing. Mastering these tools has become a real productivity asset, allowing users to optimize their time and increase their efficiency across a wide range of fields.

    RAG applications boost LLMs by enhancing their knowledge with your documentation (internal wiki/docs, text files, PDFs, databases...). With an expanded context, the LLM can provide personalized answers based on its logic and your information base.

    You will discover the fundamental concepts of LLMs, current challenges, and the technological landscape. You will learn to maximize the potential of LLMs in your software applications (API, functions, prompt engineering, evaluation, RAG).

    You will put the concepts studied into practice through concrete cases: using models and functions via API, developing RAG applications, integration into existing applications, and model fine-tuning.

    Your trainer, Cyril LAY, is a curious and passionate engineer who connects the concepts studied with his professional experience in the field, enabling learners to transfer their new skills to their company.

    Learning Objectives

    Understand the fundamental concepts of LLMs and chatbots

    Master LLM tooling with LlamaIndex

    Communicate effectively with a chatbot through prompt engineering

    Develop a complete RAG application (Indexing, embedding, vector database, reranking)

    Fine-tune open-source models on your own data

    Deploy LLMs in production

    Create and implement professional AI agents

    Training preview

    Discover the training content

    Sample slides and concepts covered in the course

    Cyril teaching an LLM training course

    LLM training programs

    Your instructor, Cyril LAY, is a curious and passionate engineer who connects theoretical concepts with real-world professional experience in the field, enabling learners to apply their new skills in their own companies.

    HuggingfacevLLMagentsPythonAPI
    slide explaining MCP

    MCP - Model Context Protocol

    How to connect LLMs to any application

    Detailed Program

    Prerequisites

    Python

    Intermediate level in Python required

    Software Engineering

    Basic knowledge of software engineering

    Ready to Tame LLMs? 🤖🚀

    Contact me to organize this training for your team or discuss a custom program.