Learning Artificial Intelligence
Approach and Basic Modules
Below you will find a description of the approach and basic modules we have developed to build your training programs.
Approach
video in English HERE
Flexibility
When setting up your training, you can choose for each module:
- its duration: short, medium or long
- the level: beginner, intermediate or advanced
- the maximum number of participants: of your choice
- the language: French or English
- the location: online or on site
Companies / Industries
Successfully digitalizing is also about accompanying your staff in the discovery of the field of artificial intelligence.
Your business needs personnel who understand the digital world in order to integrate it well into the company's professions.
Schools / High Schools / Training Centers
As manager of a school, a college, a high school, or any other type of training center, deploy our trainings for your teams, students, or customers.
Private
Do you want to learn about Artificial Intelligence for your personal enrichment or for the development of a professional project? Then start with us with a qualitative, human and personalized training.
Basic Modules
MODULE DISCOVERY
Discovering AI through Practice (Code MDECOU)
Brief presentation of the Artificial Intelligence field
Practical and directed use of all or part of the following AI products available today:
Text Generation (e.g. ChatGPT)
Object recognition in images or videos
Handwritten writing recognition
Image generation from text
Automatic text translation in all languages
Speech recognition
Voice synthesis
Practical exercises with predefined objectives are followed by a session of feedback on the experiences made to discuss and reflect on what has been achieved.
MODULE UNDERSTANDING
Understand the basic concepts of Deep Learning in AI (code - MCOMPR)
- Synthetic presentation of Deep Learning (Deep Learning)
- Working environment for AI
- Simple and "non-technical" presentation of the technologies required for the practical work of the module
- Online virtual machine (e.g. Google Cloud Platform)
- Python programming language and notion of "Notebook"
- Jupyter Lab for interactive programming in Python
- Central Processing Unit, Graphics Unit and Memory
- Presentation of the example of handwritten writing recognition (i.e. MNIST) used in the module'écriture manuscrite (i.e. MNIST) utilisée dans le module
- Comprehension, illustration and practice of the following basic concepts:
- Classification, regression, layers, neuron, synaptic coefficient (or weight), activation function
- Datasets (training, validation and test)
- Efficiency of a neural network (cost function, accuracy, over or under learning)
MODULE DEEPENING
Understanding and practicing different approaches to deep learning (code MAPPRO)
Image recognition
Convolutional Neural Network (CNN)
Image Synthesis
Generative Adversarial Network (GAN)
Sequence Information Processing
Long Short-Term Memory Network (LSTM)
Self-attentive Network (Transformers) and ChatGPT
MODULE LIVING WITH
Understanding how societies can organize to live with AI (code MVIVRA)
- Ethics & AI
- Understanding the notion of ethics adapted to AI
- Synthetic presentation of the main approaches for providing an ethical framework for the development of AI
- proposals from major organizations (UNESCO, OECD, European Parliament/Council/Commission)
- Presentation of the European AI Regulation (i.e. AI Act)
- Society & AI
- Presentation of the place of scientific and technological developments in the development of human society
- Presentation of the current and expected impact of AI for the main sectors or professions
- Presentation of the main adaptive skills to live well with AI
- AI and preservation of the environment
- Workshop on AI, Ethics and Society
- After having seen, understood and discussed the notions of ethics in a world including artificial intelligence products, and the evolution and transformation of human activities, a practical workshop is proposed.
- he practical workshop will allow:
- to choose specific and individualized areas
- to reflect on the concrete ethical issues that may arise
- to see how these issues should be solved
- to list specific and individualized professions
- to reflect on the possible impacts of AI for these professions
- to see why, when and how these professions and their actors could evolve with AI
Specialized Modules
Below you will find specialized modules to meet specific training needs related to digital transformation and Artificial Intelligence.
ChatGPT - Usage
In this module, you will:
- Learn and practice the basics of large language models (LLMs)
- Learn and practice how to use these LLMs to obtain an "optimal" response
- Learn to integrate such a tool 'correctly' into your everyday activities.
ChatGPT - Specialization
In this module, you will:
- learn to design and use large language models (LLMs) that are specialized to deal with your areas of interest.
ChatGPT - Startup
In this module, you will:
- Learn to use and specialize large language models (LLM)
- Define a flagship product for a startup project based on online services.
- Design and develop your product as a professional and innovative web application (node.js, react) leveraging AI services.