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SURELY

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AI Training

Training to learn, practice and progress.

Why choose our training courses?

From curious beginners to experienced professionals. Our courses are adapted to every profile.

Real-life cases, interactive workshops and direct integration into your work tools.

Compliance with legal and ethical rules, awareness of RGPD, AI Act and cybersecurity.

Skills to innovate, anticipate change and strengthen your competitive edge.

Tailored to your needs, with support adapted to your sector.

Openness to international trends and emerging standards in AI.

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OUR POWERFUL SOLUTIONS

Advanced technologies in generative AI and digital sovereignty

The expertise of Surely relies on its mastery of the latest generation technologies in Generative AI and in Cybersecurity.

(text, image, audio, video) to broaden analysis and creation skills.

capable of managing complex workflows and interacting with different business tools.

(LoRA, quantization, distillation) for efficient, customized deployments.

(guardrails, red teaming, automatic assessments) to reinforce robustness and compliance.

continuous integration, LLM-specific monitoring, generative model lifecycle management and production of reliable industrial solutions.

More sustainable AI thanks to quantization, pruning and parallel computing.

seamless connection with your document databases, ERP and business tools.

local and independent infrastructure, supported by French and European cloud providers, compliant with the main regulatory frameworks (RGPD, IA Act, Data Act, NIS2, eIDAS, DSA/DMA) and international standards (ISO/IEC 27001, ISO/IEC 27701).

secure model deployment, flow protection and storage in compliance with international standards and regulatory requirements.

OUR POWERFUL SOLUTIONS

5 Training levels

🟢 Level 1: Understand and use generative AI

Objectives : Understand the principles, capabilities, and limitations of generative artificial intelligence. Learn how to formulate effective prompts, analyze various professional content, and verify the generated results.

After the course : Use a multimodal AI autonomously, responsibly, and securely.

Prerequisites : No technical prerequisites.

Tools used : ChatGPT, Claude, Gemini, Le Chat.

Duration : 16h.

🔵 Level 2: AI Assistants and No-Code Automation

Objectives : Create custom assistants and automate common professional tasks: writing, summarization, classification, research, and reporting.

After the course : Design a business assistant integrated into a simple and controlled workflow.

Prerequisites : Having completed Level 1 or possessing equivalent practice.

Tools used : Custom assistants, Make, n8n, and Zapier.

Duration : 16h.

🟡 Level 3: RAG and internal data

Objectives : Build a solution to query internal documents and produce contextualized, reliable answers accompanied by verifiable sources.

After the course : Then, deploy a secure document assistant tailored to the organization's internal needs.

Prerequisites : Level 2 or API knowledge.

Tools used : LangChain, LlamaIndex, vector databases, APIs.

Duration : 20h.

Level 4: AI agents and multi-agent systems

Objectives : Design agents capable of planning tasks, using tools, searching for information, and collaborating effectively and intelligently under human supervision.

After the course : Then, develop a business agent connected to the company's applications and data.

Prerequisites : Level 3 or development skills.

Tools used : Agent frameworks, MCP, APIs, and business connectors.

Duration : 24h.

🔴 Level 5: AI Industrialization

Objectives : Learn how to evaluate, secure, supervise, and sustainably deploy an artificial intelligence solution while mastering its performance, risks, and costs.

After the course : Then, drive a reliable, compliant, robust, and properly documented solution.

Prerequisites : Level 4 or equivalent experience.

Tools used : LLMOps, observability, evaluations and security guardrails.

Duration : 30h.

OUR POWERFUL SOLUTIONS

Cross-functional modules

⚖️ Governance, AI Act and Responsible AI

Objectives : Understand regulatory obligations, identify risk levels, and govern the professional uses of responsible and compliant artificial intelligence.

After the course : Implement a charter, a register, and control procedures.

Prerequisites : No special technical prerequisites.

Tools used : AI Act grids, risk analyses, charter templates, and internal registers.

Duration : 2:00 PM.

🛡️ AI Systems Cybersecurity

Objectives : Identify the main threats targeting artificial intelligence systems and effectively protect data, models, and their business users.

After the course : Apply prevention, detection, and incident response measures.

Prerequisites : No special technical prerequisites.

Tools used : Security grilles, injection testing, assessment methods, and secure management procedures.

Duration : 2:00 PM.

🚀 Transformation of jobs by AI

Objectives : Identify the activities that can benefit from artificial intelligence and support teams in the sustainable evolution of their daily professional practices.

After the course : Build a realistic roadmap and measure the concrete results achieved.

Prerequisites : General knowledge of the organization.

Tools used : Process mapping, value-risk matrices, project canvases and performance indicators.

Duration : 2:00 PM.

OUR POWERFUL SOLUTIONS

Specialized modules

🤖 AI Agents: architecture and orchestration

Objectives : Design the technical architecture of agents capable of reasoning, planning, calling tools, and coordinating multiple complex, secure, and observable business workflows.

After the course : Develop a modular, testable agentic system connected to enterprise applications.

Prerequisites : Python development basics.

Tools used : LangGraph, CrewAI, MCP, API, functions, memory, observability, and advanced secure multi-agent orchestration.

Duration : 8:00 PM.

📚 Advanced RAG and internal knowledge

Objectives : Develop RAG systems capable of leveraging internal documents, producing sourced responses, and strictly respecting existing fine-grained access rights.

After the course : Build a reliable, updatable, and secure document assistant for professional use cases.

Prerequisites : Generative AI Basics.

Tools used : LlamaIndex, LangChain, vector databases, local models, APIs, and advanced secure document pipelines.

Duration : 8:00 PM.

💻 Vibe Coding: Coding with AI

Objectives : Quickly design applications with AI, generate code, automate testing, and efficiently control the quality of the resulting outputs.

After the course : Build a functional, maintainable, and secure prototype based on a business need.

Prerequisites : Software development basics.

Tools used : GitHub Copilot, Cursor, code assistants, no-code platforms and testing tools.

Duration : 8:00 PM.

Intelligent Process Automation

Objectives : Automate the processing of quotes, orders, invoices, and customer requests to reduce lead times and secure daily operations.

After the course : Deploy a workflow connected to existing software and supervised by the teams.

Prerequisites : General process knowledge.

Tools used : OCR, ERP, CRM, no-code automation, document assistants, and application connectors.

Duration : 8:00 PM.

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