The Training
An AI training program built for action
Sofia supports your teams in mastering AI and transforming their day-to-day work.
For Your Company
Cette formation permet aux équipes commerciales d'accroître significativement leur productivité en automatisant les processus de vente quotidiens, en optimisant l'utilisation des outils CRM pour une meilleure gestion des données clients, en créant des assistants GPT sur mesure adaptés à leurs besoins spécifiques, et en tirant parti de la puissance de l'IA pour générer des résumés détaillés des appels ainsi que des e-mails personnalisés et pertinents envoyés immédiatement après.
7 – Workflow for Deploying and Industrializing an AI Project
Duration: ~3h30–4h
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Identifying the use case
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Assessing the current state
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Experimentation phase (PoC)
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Validation (robustness, go/no-go)
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Integration (APIs, pipelines, scalability)
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Industrialization (Docker, Kubernetes, CI/CD, monitoring, MLOps)
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Security & compliance (GDPR, AI Act)
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Ongoing monitoring and continuous improvement
Modular pathways for targeted upskilling.
Dernière mise à jour : 28/10/2025
0 – Artificial Intelligence: From Origins to Modern Applications
Duration: ~3h
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Origins and definitions
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AI families (symbolic, ML, deep learning, generative)
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Recent developments (LLMs, diffusion, agents, frugal AI)
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Industrial applications and limitations
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Preprocessing, computer vision, cross-validation
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Outlook and challenges
1 – Panorama of Today’s AI
Duration: ~2h30–3h
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The five major families (LLMs, visual AI, audio AI, analytical AI, educational AI)
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Concrete use cases
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Multimodal convergence
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Job impacts and reskilling
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Strategic recommendations (training, experimentation, ethics)
2 – LLMs: A Revolution in Software Development
Duration: ~2h30
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Applications (coding assistance, bug fixing, documentation)
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Technical advantages (APIs, frameworks, libraries)
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A new paradigm: the developer as supervisor
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Productivity gains (up to 30× faster, less code, auto-generated docs) An essential skill
4 – Panorama of Machine Learning Models
Duration: ~3h
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Paradigms: supervised, unsupervised, semi-supervised, self-supervised, reinforcement
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Key applications and algorithms
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Advantages and limitations of each approach
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Summary diagram and selection criteria
5 – Neural Networks and Deep Learning
Duration: ~3h30
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Structure and operation (forward pass, backpropagation)
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Activation functions
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Network types: ANN, CNN, RNN, Transformers
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Optimization and regularization
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Applications (vision, NLP, audio, robotics, finance)
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Limits and challenges (resources, explainability, …)
3 – Improving Communication with LLMs
Duration: ~2h
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Text correction and enhancement
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Automated writing (emails, content)
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Meeting summarization
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Translation and language accessibility
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Toward augmented communication (efficiency, consistency, democratization)
6 – 2025: The Year of AI Agents
Duration: ~2h
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Definition and how they differ from chatbots
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Toolkit (web, communication, e-commerce, development, APIs)
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Outlook (productivity, accessibility, intelligent autonomy)
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2025 forecast (30% of tasks automated)
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Preparation (skills, transformations, supervision)
7 – Workflow for Deploying and Industrializing an AI Project
Duration: ~3h30–4h
-
Identifying the use case
-
Assessing the current state
-
Experimentation phase (PoC)
-
Validation (robustness, go/no-go)
-
Integration (APIs, pipelines, scalability)
-
Industrialization (Docker, Kubernetes, CI/CD, monitoring, MLOps)
-
Security & compliance (GDPR, AI Act)
-
Ongoing monitoring and continuous improvement
7 – Workflow for Deploying and Industrializing an AI Project
Duration: ~3h30–4h
-
Identifying the use case
-
Assessing the current state
-
Experimentation phase (PoC)
-
Validation (robustness, go/no-go)
-
Integration (APIs, pipelines, scalability)
-
Industrialization (Docker, Kubernetes, CI/CD, monitoring, MLOps)
-
Security & compliance (GDPR, AI Act)
-
Ongoing monitoring and continuous improvement
Assemble the modules that matter build your own path!
Dernière mise à jour : 23/10/2025
Sofia supports your teams in mastering AI and transforming their day-to-day work.
