Train your teams in AI.

Last updated: 11/06/2026

👉🏼 Description:
This training is designed for developers and lead developers working on Adobe Commerce and Magento Open Source projects. It starts from real e-commerce development use cases to build lasting working habits with AI — not demos that don’t survive the first code review.

🎯 Objectives:
By the end of this course, participants will be able to:

• Generate modules, unit tests and technical documentation assisted by AI
• Detect and correct anomalies and bugs with the help of LLMs
• Structure an Adobe Commerce architecture and draft technical specifications from functional briefs
• Automate repetitive tasks (data migrations, ERP/PIM synchronisations) via AI
• Connect Claude to their tools via the Anthropic API and the MCP protocol
• Identify the pitfalls and limitations of AI in production (hallucinations, false positives, technical debt)

🧑🏽‍💻 Target audience:
Developers and lead developers with experience on Magento Open Source or Adobe Commerce.

📃 Teaching methods and resources:

• Training room with video projector
• Large-screen training space
• Wired / WiFi internet connection
• Laptops / second screen / mouse / keyboard if needed
• Format: In-person, synchronous. Intra or inter-company depending on needs.

📍 Duration and location:
14 hours over 2 days.
Location: our premises at 3 allée d’Helsinki, 67300 Schiltigheim, or remotely.

Programme:

• Introduction to Claude Code and AI assistants for developers
• Understanding LLM strengths and limitations on Magento code
• Codebase analysis: understanding an existing codebase quickly
• Module generation: what works, what doesn’t, what always needs reviewing
• AI-assisted anomaly and bug detection
• Unit and functional test generation
• Automated code and module documentation
• Best practices: when to trust, when to verify, when to write it yourself
• Using Claude to analyse technical specifications
• Support for Magento and Adobe Commerce architecture structuring
• Generating technical specifications from functional briefs
• AI-assisted pull request review
• Automating repetitive tasks: data migrations, ERP/PIM synchronisation scripts
• API integration and MCP protocol: connecting Claude to your tools
• Practical case study: an end-to-end automation workflow on a real e-commerce project
• Production pitfalls to avoid: code hallucinations, false positives, debt management

📝 Teaching approach:

• Blend of theory and practice
• Practical exercises at every half-day session
• Case studies drawn from real Adobe Commerce and Magento projects

✅ Assessment:

• End-of-programme questionnaire and interview
• Practical exercises at the end of the course with correction
• Success rate: 100% on the last session, 0% dropout
• Satisfaction rate: 8.67/10

👀 Places: Contact us

🗓️ Dates: All courses available within one to two weeks

⏰ Hours: 7h per day: 9am–12pm and 2pm–6pm

🧑🏽‍💻 Trainer profile:
Referenced internal technical team. All our courses are led by experienced trainers with proven field experience. (Trainer CV available on request.)
Joris Hart – Technical Director, publisher-certified

Accessibility:
Our courses may be accessible to people with disabilities. As each situation is unique, please specify your disability at registration. We will confirm all available accommodation options and ensure you can follow the course in the best conditions, in agreement with your employer. For further information, please contact our disability coordinator, Mr Franck Vandamme, at franck@ati4group.com or +33 3 88 50 26 68..

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Last updated: 11/06/2026

👉🏼 Description:
This training is designed for Scrum Masters who want to integrate AI into their daily agile practice. It covers the practical use of LLMs on the role’s most time-consuming tasks — ceremony write-ups, retrospective summaries, sprint preparation — without losing the human dimension of the function.

🎯 Objectives:
By the end of this course, participants will be able to:

• Generate user stories, acceptance criteria and definitions of done from briefs
• Automatically summarise retrospectives and extract priority actions
• Draft impediment logs and sprint reports assisted by AI
• Detect patterns in velocity and quality data
• Prepare backlog grooming sessions with the help of LLMs
• Use AI to improve the clarity and quality of written team communications
• Identify what AI should not do in a Scrum Master role

🧑🏽‍💻 Target audience:
Scrum Masters, agile coaches, project managers in agile contexts.
Prerequisites: Experience in agile or Scrum project management. No technical AI skills required.

📃 Teaching methods and resources:

• Training room with video projector
• Large-screen training space
• Wired / WiFi internet connection
• Laptops / second screen / mouse / keyboard if needed
• Format: In-person, synchronous. Intra or inter-company depending on needs.

📍 Duration and location:
7 hours over 1 day.
Location: our premises at 3 allée d’Helsinki, 67300 Schiltigheim, or remotely.

Programme:

• AI in an agile context: what it changes and what it doesn’t
• Generating user stories, acceptance criteria and definitions of done from briefs
• Automatic retrospective summaries and extraction of priority actions
• Drafting impediment logs and sprint reports
• Support for detecting patterns in velocity and quality data
• Backlog grooming preparation: reformulating and enriching user stories
• Team communication: using AI to improve clarity in written exchanges
• Practical workshop: integrating AI into a sprint ceremony from A to Z
• Limits and vigilance: what AI should not do in a Scrum Master role

📝 Teaching approach:
Blend of theory and practice, practical exercises, final workshop on a complete sprint case study.
In-person only, at our premises at 3 allée d’Helsinki, 67300 Schiltigheim.

✅ Assessment:

• End-of-programme questionnaire and interview
• Practical exercises at the end of the course with correction
• Success rate: 100% on the last session, 0% dropout
• Satisfaction rate: 8.67/10

👀 Places: Maximum 6 per session

🗓️ Dates: All courses available within one to two weeks

⏰ Hours: 7h per day: 9am–12pm and 2pm–6pm

🧑🏽‍💻 Trainer profile:
Referenced internal technical team. All courses led by experienced trainers with proven field experience. (Trainer CV available on request.)
Joris Hart – Technical Director

Accessibility:
Our courses may be accessible to people with disabilities. As each situation is unique, please specify your disability at registration. We will confirm all available accommodation options and ensure you can follow the course in the best conditions, in agreement with your employer. For further information, please contact our disability coordinator, Mr Franck Vandamme, at franck@ati4group.com or +33 3 88 50 26 68.

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Last updated: 11/06/2026

👉🏼 Description:
This training is designed for Product Owners who want to use AI to process more information faster — feedback analysis, backlog structuring, specification writing — while freeing up time for what requires judgement and decision-making.

🎯 Objectives:
By the end of this course, participants will be able to:

• Process volumes of user feedback through summarisation, clustering and insight extraction with AI
• Write user stories, acceptance criteria and functional specifications assisted by AI
• Structure and prioritise a complex backlog with the help of LLMs
• Analyse technical specifications and extract key functional challenges
• Write clear technical briefs for development teams
• Conduct AI-assisted competitive intelligence
• Apply best practices for confidentiality when using LLMs

🧑🏽‍💻 Target audience:
Product Owners, product managers, e-commerce managers.
Prerequisites: Experience in digital or e-commerce product management. No technical AI skills required.

📃 Teaching methods and resources:

• Training room with video projector
• Large-screen training space
• Wired / WiFi internet connection
• Laptops / second screen / mouse / keyboard if needed
• Format: In-person, synchronous. Intra or inter-company depending on needs.

📍 Duration and location:
7 hours over 1 day.
Location: our premises at 3 allée d’Helsinki, 67300 Schiltigheim.

Programme:

• AI as an analysis and structuring tool for POs
• Processing user feedback at volume: summarisation, clustering, insight extraction
• AI-assisted writing of user stories, acceptance criteria and functional specifications
• Roadmap structuring: using AI to organise and prioritise a complex backlog
• Analysing specifications and extracting functional challenges
• Writing technical briefs for development teams
• AI-assisted benchmarking and competitive intelligence
• E-commerce practical case study: writing the specifications for an Adobe Commerce feature from A to Z with Claude
• Confidentiality challenges: what goes into an LLM and what doesn’t

📝 Teaching approach:
Blend of theory and practice, practical exercises, final case study on a real Adobe Commerce project.
In-person only, at our premises at 3 allée d’Helsinki, 67300 Schiltigheim.

✅ Assessment:

• End-of-programme questionnaire and interview
• Practical exercises at the end of the course with correction
• Success rate: 100% on the last session, 0% dropout
• Satisfaction rate: 8.67/10

👀 Places: Maximum 6 per session

🗓️ Dates: All courses available within one to two weeks

⏰ Hours: 7h per day: 9am–12pm and 2pm–6pm

🧑🏽‍💻 Trainer profile:
Referenced internal technical team. All courses led by experienced trainers with proven field experience. (Trainer CV available on request.)
Joris Hart – Technical Director, publisher-certified

Accessibility:
Our courses may be accessible to people with disabilities. As each situation is unique, please specify your disability at registration. We will confirm all available accommodation options and ensure you can follow the course in the best conditions, in agreement with your employer. For further information, please contact our disability coordinator, Mr Franck Vandamme, at franck@ati4group.com or +33 3 88 50 26 68.

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Last updated: 11/06/2026

👉🏼 Description:
This training is designed for UX/UI designers working on e-commerce interfaces. It helps them integrate AI into their creative process — variant generation, user research, microcopy, accessibility — without losing control over the consistency of the experience and the brand.

🎯 Objectives:
By the end of this course, participants will be able to:

• Generate AI-assisted creative briefs and style guides
• Use AI to synthesise user interviews and extract UX patterns
• Write microcopy and UX content for e-commerce interfaces with the help of LLMs
• Generate visual variants and conceptual mockups with current AI tools
• Understand how AI personalisation (Adobe Sensei, Hyvä Commerce) impacts design choices
• Use Claude to audit and improve interface accessibility
• Identify the ethical challenges of AI-assisted design: bias, brand consistency, editorial control

🧑🏽‍💻 Target audience:
UX/UI designers, product designers, web integrators working on e-commerce projects.
Prerequisites: Experience in web or e-commerce interface design. No technical AI skills required.

📃 Teaching methods and resources:

• Training room with video projector
• Large-screen training space
• Wired / WiFi internet connection
• Laptops / second screen / mouse / keyboard if needed
• Format: In-person, synchronous. Intra or inter-company depending on needs.

📍 Duration and location:
7 hours over 1 day.
Location: our premises at 3 allée d’Helsinki, 67300 Schiltigheim.

Programme:

• AI in the design process: where it accelerates, where it doesn’t replace
• AI-assisted generation of creative briefs and style guides
• Using AI for user research: interview synthesis, UX pattern extraction
• Support for writing microcopy and UX content for e-commerce interfaces
• Generating visual variants and conceptual mockups with current AI tools
• E-commerce experience personalisation: understanding how Adobe Sensei and Hyvä Commerce AI personalise the interface, and what this means for design
• Accessibility and AI: using Claude to audit and improve interface accessibility
• Practical case study: designing an e-commerce category page with AI integrated at every stage of the process
• Ethical challenges of AI-assisted design: bias, brand consistency, editorial control

📝 Teaching approach:
Blend of theory and practice, practical exercises, final case study on a real e-commerce page.

✅ Assessment:

• End-of-programme questionnaire and interview
• Practical exercises at the end of the course with correction
• Success rate: 100% on the last session, 0% dropout
• Satisfaction rate: 8.67/10

👀 Places: Maximum 6 per session

🗓️ Dates: All courses available within one to two weeks

⏰ Hours: 7h per day: 9am–12pm and 2pm–6pm

🧑🏽‍💻 Trainer profile:
Referenced internal technical team. All courses led by experienced trainers with proven field experience. (Trainer CV available on request.)
Joris Hart – Technical Director, publisher-certified

Accessibility:
Our courses may be accessible to people with disabilities. As each situation is unique, please specify your disability at registration. We will confirm all available accommodation options and ensure you can follow the course in the best conditions, in agreement with your employer. For further information, please contact our disability coordinator, Mr Franck Vandamme, at franck@ati4group.com or +33 3 88 50 26 68.

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Last updated: 11/06/2026

👉🏼 Description:
An introductory session for teams that are just getting started with AI or have disparate practices and want to build a shared foundation. No technical jargon, no code: a shared vision, concrete use cases by role, and the first best practices to get started on the right foot.

🎯 Objectives:
By the end of this course, participants will be able to:

• Distinguish between the main AI models on the market and understand their concrete differences
• Identify relevant AI use cases according to their role (development, project management, design, content, commerce)
• Apply the first best practices for using LLMs in a professional context
• Identify AI limitations: hallucinations, bias, editorial vigilance
• Apply basic confidentiality and data security rules with LLMs
• Leave with 3 concrete use cases to put into practice the following day

🧑🏽‍💻 Target audience:
All profiles: developers, project managers, designers, marketing and content teams, managers. Suited to mixed teams looking to build a shared foundation.
Prerequisites: None. Open to all profiles.

📃 Teaching methods and resources:

• Training room with video projector, large-screen training space, wired / WiFi internet connection, laptops / second screen / mouse / keyboard if needed
• Format: In-person, synchronous. Intra or inter-company depending on needs.

📍 Duration and location:
3.5 hours over a half-day.
Location: our premises at 3 allée d’Helsinki, 67300 Schiltigheim.

Programme:

• Overview of the AI ecosystem in 2026: the players, the models, the differences that matter
• Why Claude — and why not always Claude
• Use cases by role: development, project management, design, content, commerce
• What AI doesn’t do well: hallucinations, limitations, vigilance
• Security and confidentiality: what can go into an LLM and what can’t
• First practical steps: each participant leaves with 3 use cases to test the following day

📝 Teaching approach:
Interactive and participatory approach, Q&A throughout the session, real-time practical exercises on the tools.

✅ Assessment:

• End-of-session quiz
• Each participant leaves with a personal action plan validated by the group
• Success rate: 100% on the last session, 0% dropout
• Satisfaction rate: 8.67/10

👀 Places: Maximum 6 per session

🗓️ Dates: All courses available within one to two weeks

⏰ Hours: 7h per day: 9am–12pm and 2pm–6pm

🧑🏽‍💻 Trainer profile:
Referenced internal technical team. All courses led by experienced trainers with proven field experience. (Trainer CV available on request.)
Joris Hart – Technical Director, publisher-certified

Accessibility:
Our courses may be accessible to people with disabilities. As each situation is unique, please specify your disability at registration. We will confirm all available accommodation options and ensure you can follow the course in the best conditions, in agreement with your employer. For further information, please contact our disability coordinator, Mr Franck Vandamme, at franck@ati4group.com or +33 3 88 50 26 68.

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