Discover the training program “AI Technical Foundations Awareness”, an immersive session designed to help participants understand how artificial intelligence actually works, beyond visible use cases and tools.

This training provides a clear and structured overview of the core technical building blocks of modern AI: AI project lifecycle, Machine Learning, Deep Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based AI.

The objective is to enable participants to better interact with technical teams, identify the right levers for AI use, and understand the technological choices behind today’s AI solutions.

Learning objectives:

At the end of the training, participants will be able to:

• Understand the differences between AI, Machine Learning, Deep Learning, and Generative AI.
• Identify the key stages and stakeholders involved in an AI project.
• Understand the core principles of Machine Learning and Deep Learning.
• Grasp how LLMs work, including fine-tuning techniques, embeddings, and RAG.
• Understand the fundamentals of agent-based AI and intelligent automation.
• Better assess the technical opportunities and limitations of AI in an enterprise context.

Target audience:

Managers, project managers, consultants, innovation leaders, business professionals, and non-specialist IT profiles seeking to build a solid technical understanding of AI.

No advanced technical prerequisites are required.

Duration:

2 days (4 half-days)
9:00–12:30 & 13:30–17:00

Number of participants:

Maximum 12 participants.

Prerequisites:

• Laptop with Internet access
• Basic computer literacy

Program:

Day 1 – Fundamentals & Machine Learning

• AI vs ML vs DL: definitions and landscape overview
• AI project framing and governance
• Data & AI roles
• Data preparation and Machine Learning principles
• Overview of key algorithms and evaluation metrics
• Exercises and discussions

Day 2 – Deep Learning, LLMs & Agent-based AI

• Neural networks and Deep Learning
• NLP, Computer Vision, and multimodality
• Language models and Transformers
• Fine-tuning, embeddings, semantic search, and RAG
• Agent-based AI, orchestration, and enterprise use cases
• Synthesis and outlook

Pricing:

• Open enrollment: €1,600 excl. VAT per participant
• In-house training: pricing upon request

Teaching methods:

• Simplified theoretical inputs
• Demonstrations and concrete examples
• Guided practical exercises
• Experience sharing and discussions

Assessment:

• Positioning quiz
• Practical exercises with feedback

Delivery modalities:

On-site or remote training (Microsoft Teams).
A computer equipped with a webcam and microphone is required.

Accessibility:

This training is accessible to people with disabilities.
Contact: accessibility@eurekia-learning.com

Contacts:

• Quality officer: Jihane Khouzaimi – +33 6 86 05 04 02 – contact@eurekia-learning.com
• Academic lead: Hatim Khouzaimi