The Training
An AI training program built for action
Sofia supports your teams in mastering AI and transforming their day-to-day work.
What your teams will learn.
Automate repetitive tasks with AI.
Apply AI directly to their day-to-day tasks.
Master the most relevant tools on the market.
Grow with continuously updated content.
Sofia Methodology.
Format (modules courts, pratiques, progressifs).
Approach (100% results-oriented, real cases).
Continuous content updates.
Create the training that fits you.
For Your Company
Increased productivity.
Confident, satisfied employees.
Time savings.
Competitive advantage in the market.
Modular pathways for targeted upskilling.
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
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)
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, …)
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
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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
Assemble the modules that matter build your own path!
Choose, compose, progress
