Junyr.eu

Programmes • Qualiopi • OPCO-fundable

Course programmes.

Seven tracks, twelve courses. For each: learning objectives, audience, prerequisites, content and duration. Every course runs in-house, on a date you choose, at your premises or remotely, for up to 12 participants, or open-enrolment, billed per participant per day, on fixed dates, 8 seats per session. Both formats are OPCO-fundable. Find current rates in the catalogue, and access lead times, accessibility and terms in the practical information.

Open-enrolment session

Fixed dates, in Paris

€690 excl. VAT per participant per day

8 participants maximum per session, sessions always confirmed regardless of the number of bookings. WOJO Gare de Lyon (rue de Lyon, 75012 Paris), arrival 9.30am, session 9.45am to 5.45pm (7 hours).

2026-2027 calendar: Tuesday 22 and Wednesday 23 September 2026 (past), Thursday 19 and Friday 20 November, Tuesday 1 and Wednesday 2 December 2026, Tuesday 19 and Wednesday 20 January, Tuesday 9 and Wednesday 10 February 2027. Day 1, AI Strategy & Transformation for leaders; day 2, Enterprise Agentic Processes.

See the full calendar →
In-house, at your premises

On your date, up to 12 participants

€1,900 to €2,900 excl. VAT per group per day

Billed per group, whatever the number of participants up to 12: €1,900 excl. VAT per day for the two AI literacy courses (entry offer), €2,900 excl. VAT per day for the ten other courses in the catalogue.

Scheduled with you, at your premises or remotely. Beyond a few participants from the same team, in-house usually works out more cost-effective than open-enrolment.

Request an in-house quote →

Both formats are OPCO-fundable and lead to a certificate of attendance and a certificate of completion. Access terms and lead times, accessibility for people with disabilities, cancellation and rescheduling terms: see the practical information.

How each course runs

The same framework across all twelve courses.

1

Before

A one-hour positioning interview with a written summary, to tailor the session to your sector, your tools and your AI strategy.

2

During

Expert input, live demonstrations and hands-on workshops on the company's real cases.

3

After

90 days' access to the resource library and to the lab.junyr.app sandbox, followed by a 90-day video coaching session (30 minutes per participant).

4

Assessment

Upfront positioning, formative assessment during workshops, assessment of learning outcomes at the end of the course. Certificate of attendance and certificate of completion provided.

Leadership & AI Governance.

Four courses for leadership bodies: executive committees, board members, employee representative bodies and finance functions. AI Act framework, risks, roadmap.

Entry offer · €1,900 excl. VAT
1 day · 7 h€1,900 excl. VAT per day, in-houseLeaders, executive committeePrerequisites: none

AI Literacy for the Executive Committee

Learning objectives

  • Understand the potential and the risks of generative and agentic AI for the business.
  • Identify the organisation's priority use cases.
  • Set the governance framework, including AI Act obligations.
  • Build a 90-day AI roadmap.

Content

  • State of the art in generative and agentic AI.
  • Live demonstrations on company cases.
  • Workshop: mapping business use cases.
  • Output: the executive committee's 90-day roadmap.
1 day · 7 h€2,900 excl. VAT per day, in-houseBoard / supervisory board membersPrerequisites: none

AI & Data Governance for Board Members

Learning objectives

  • Situate the board's responsibilities in AI and data governance.
  • Map the risks: AI Act, GDPR, cybersecurity, reputation.
  • Oversee management's Data/AI strategy.
  • Master the key questions to put to senior management.

Content

  • Overview: what AI changes for a board.
  • Regulatory framework and duties of care.
  • Workshop: an AI strategy oversight grid.
  • Case studies: typical deliberations and decisions.
1 day · 7 h€2,900 excl. VAT per day, in-houseEmployee representatives (works council)Prerequisites: none

AI Governance for Employee Representative Bodies

Learning objectives

  • Understand the AI technologies being introduced into the business.
  • Know the legal framework: AI Act, GDPR, works council consultation.
  • Assess the impact on jobs and working conditions.
  • Apply an analysis grid to AI projects submitted to the works council.

Content

  • AI fundamentals for the workplace, jargon-free.
  • Rights and prerogatives of employee representatives facing AI projects.
  • Workshop: analysing a real or simulated AI project.
  • Building constructive social dialogue on AI.
1 day · 7 h€2,900 excl. VAT per day, in-houseFinance managers, CFOs, project directorsPrerequisites: none (prior AI literacy training is a plus)

Financial Management of AI

Learning objectives

  • Master token economics: model pricing, input/output tokens, context windows, caching.
  • Compare cost models, API and licensing.
  • Estimate, budget and track consumption by use case.
  • Steer costs (AI FinOps), charge back internally and measure AI project ROI.

Content

  • How AI models work and are priced.
  • Estimating and tracking consumption by use case.
  • Budgeting, forecasting and internal charge-back.
  • Hands-on workshops on the company's own cases.

Team AI Literacy.

The recommended entry point before the Agentic AI track: raising every employee's awareness of the everyday uses of generative AI.

Entry offer · €1,900 excl. VAT
1 day · 7 h€1,900 excl. VAT per day, in-houseAll staffPrerequisites: none

AI in Daily Work, Team Literacy

Learning objectives

  • Understand the fundamentals of generative AI and its everyday uses.
  • Apply good prompting practice.
  • Protect data confidentiality and security.
  • Know the limits of the models and check their answers.

Content

  • Fundamentals: the real capabilities and limits of generative AI.
  • Prompting workshops on the company's real cases.
  • Confidentiality, security and AI Act compliance day to day.
  • Personal usage plan: making the habits stick.

Agentic AI.

Three progressive levels: understand (Foundations), build (Practitioner), deploy and govern in production (Advanced).

1 day · 7 h€2,900 excl. VAT per day, in-houseLeaders, managers, key functionsPrerequisites: none

Agentic AI: Foundations

Learning objectives

  • Understand the principles of agentic AI and how it differs from plain generative AI.
  • Identify agentic use cases in your business processes.
  • Scope a first agent: boundaries, data, human supervision.
  • Leave with an immediate action plan.

Content

  • Principles of agentic AI, from prompt to agent.
  • Live demonstrations of agents in action.
  • Workshop: qualifying the company's use cases.
  • Immediate action plan and next steps.
2 days · 14 h€2,900 excl. VAT per day, in-housePower users, project leads, operationsPrerequisites: Foundations level or regular use of an AI assistant

Agentic AI: Practitioner

Learning objectives

  • Design an AI agent end-to-end for a real business process.
  • Get hands-on with Claude and Cowork for everyday team work.
  • Create reusable Skills tailored to your use cases.
  • Connect an agent to your tools through MCP (Model Context Protocol) servers.
  • Automate a repetitive task end-to-end.
  • Apply sound confidentiality and supervision practices.

Content, day 1: get hands-on & build

  • Recap of agentic fundamentals: deciding between automation and human supervision.
  • Claude & Cowork day to day: collaborative spaces, projects, shared context.
  • Building your first Skills: design, test, version.
  • "First agent" workshop on a real case brought in beforehand.

Content, day 2: connect & automate

  • Model Context Protocol (MCP): secure connections to company tools.
  • Automating a real process end-to-end: chaining, error handling, supervision.
  • Security, confidentiality and governance: guardrails and human validation.
  • Presenting the agents built and a personal 90-day roadmap.

Equipment

One laptop per participant.

3 days · 21 h€2,900 excl. VAT per day, in-houseTechnical teams, IT leaders, AI leadsPrerequisites: Practitioner level or equivalent technical experience

Agentic AI: Advanced

Learning objectives

  • Deploy and govern AI agents in production.
  • Orchestrate multi-agent architectures.
  • Implement RAG and robust MCP connections.
  • Secure deployments and ensure AI Act compliance.
  • Measure the ROI of agents in production.

Content

  • Day 1, agentic architectures: multi-agent orchestration, design patterns, RAG.
  • Day 2, industrialisation: advanced MCP, integrations, logging, deployment security.
  • Day 3, governance: AI Act compliance, supervision, indicators and ROI measurement.

AI Coding for Non-Developers.

Building software tools with AI without being a developer.

4 days · 28 h€2,900 excl. VAT per day, in-houseAutonomous business profiles, power usersPrerequisites: Agentic AI Practitioner level recommended

AI Coding for Non-Developers

Learning objectives

  • Build software tools with AI (Claude Code or equivalent) without being a developer.
  • Acquire the essential computing concepts needed to work with AI: data, logic, SQL.
  • Deploy a tool: infrastructure, hosting, security.
  • Carry a complete project through on a real business need.

Content

  • Day 1, foundations: essential computing concepts, getting started with AI coding.
  • Day 2, data: structuring, querying (SQL), connecting your sources.
  • Day 3, build: guided development of each participant's project.
  • Day 4, deploy: infrastructure, security, going live and maintenance.

AI Visibility, SAGEO.

Making the business visible and cited in AI answer engines.

1 day · 7 h€2,900 excl. VAT per day, in-houseMarketing, communications, managementPrerequisites: none

SAGEO, Visibility in AI Engines

Learning objectives

  • Understand the principles of GEO/SAGEO and how AI answer engines work (ChatGPT, Perplexity, Gemini, AI Overviews, Copilot).
  • Audit your site's and brand's AI visibility.
  • Structure your data (JSON-LD) and produce citable content.
  • Build an action plan and measure its effects.

Content

  • How AI engines select their sources.
  • Visibility audit: each participant's brand put under the microscope.
  • Workshops: structured data, citable content.
  • SAGEO action plan and tracking indicators.

Documentation and AI Coding.

Documentation determines the lasting quality of the code your agents produce: it is what lets them keep coding correctly and safely over time.

1 day · 7 h€2,900 excl. VAT per day, in-houseTechnical teams, IT leaders, tech leads, product ownersPrerequisites: AI Coding track or regular practice of AI coding

Documentation and AI Coding, Documentation Hygiene for Your Agents

Learning objectives

  • Structure an agent context file (of the CLAUDE.md kind).
  • Document anti-regression rules and business invariants, at a level that stays valid as the code evolves.
  • Write greppable, verifiable documentation, structured for automated search.
  • Avoid doc/code drift and organise multi-level documentation (index, detail, changelog) readable by both an agent and a human team.

Content

  • The role of documentation as the primary asset of an agent-driven codebase.
  • Anatomy of an effective agent context.
  • Workshops on the company's existing documentation or a pilot project.
  • Setting up an anti-drift doc/code routine.

AI Coding — UltraCoding and agent harnesses.

Steer a coding agent working on an existing repository, from an approved plan to a release decision.

2 days · 14 hours€2,900 excl. VAT per day, in-houseDevelopers, tech leads, technical managersGit and experience with a coding agent required

AI Coding — UltraCoding and agent harnesses

Learning objectives

  • Prepare context, invariants and a decision-complete plan approved before writing.
  • Bound tool access, permissions, budgets and stop conditions, with one writing session.
  • Link adversarial review, three-layer verification and evidence to the actual candidate checked.
  • Handle a stale plan, hostile instructions and retries; simulate recovery and a release decision.

Programme

  • Day 1 (7 hours): repository exploration, plan approval, context, tool access and harness, bounded implementation, measurements.
  • Day 2 (7 hours): adversarial review, checks, incidents and recovery, evidence pack, simulated release and assessment.

Maximum 8 participants. One-hour positioning interview, standard library and training lab for 90 days, individual 30-minute video coaching at 90 days. Workshops use a supplied training repository and Junyr’s documented practices. Coding-agent access is prepared in advance.

Full programme, workshops and assessment →

Reading the rates, formats, access lead times, accessibility and terms. The two price grids use different units and do not compare term for term. The open-enrolment rate is per participant per day, €690 excl. VAT, in a fixed-date session capped at 8 participants. The in-house rate is per group per day, for up to 12 participants, at your premises or remotely, on a date you choose: €1,900 excl. VAT for the two AI literacy courses, €2,900 excl. VAT for the ten other courses. Current rates also appear on each entry of the catalogue. All courses are OPCO-fundable in both formats. Access terms and lead times, accessibility for people with disabilities, cancellation and rescheduling terms: see the practical information, or write to us.

Ready to book your training?

Tell us which day or days you are interested in and how many participants: you will receive a quote within 48 working hours. Not sure which track yet? The free 30-minute audit places your team on the Junyr Scale™ and points you in the right direction.