Generative AI and LLMs Training Course – Design, Customise and Deploy Powerful Models

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GOOD TO KNOW

This training course includes numerous exercises (60% practical). Each participant will work with real LLM tools and APIs. You will build real use cases: chatbot, document summariser, domain-specific assistant. This training course is regularly updated to keep pace with the rapid developments in the field.

This training course is part of our Artificial Intelligence Training Courses. Explore our other AI training courses to fully leverage machine learning, LLMs and generative AI.

To deepen your skills, also explore our LLMs training course and our n8n automation and AI training, both perfectly complementing this Generative AI program.

Objectives of the Generative AI and LLMs Training Course

By the end of this training course, each participant will be able to:

• Understand how LLMs work (architecture, training, limitations)
• Choose the right model for a given use case (GPT, Claude, Mistral, open-source)
• Integrate a model via API (OpenAI, Anthropic, HuggingFace)
• Build a RAG (Retrieval-Augmented Generation) pipeline
• Fine-tune a model on custom data
• Deploy an LLM application in a real environment
• Evaluate model performance and manage costs

Prerequisites

• Python programming experience recommended
• Basic understanding of machine learning concepts
• Familiarity with APIs (REST)
• Because each participant is unique, a personalised interview with our expert allows us to design a training programme perfectly aligned with their objectives, level and professional challenges.

Target Audience

This training course is designed for :

• Python developers
• Data scientists and ML engineers
• IT architects wishing to integrate LLMs into their systems
• Technical profiles working on AI projects