Sessions guaranteed from a single enrolment (no risk of postponement except in cases of force majeure)
Do you want to build complete AI Azure expertise, with skills covering the fundamentals of artificial intelligence, the development of cloud AI solutions, computer vision on Azure AI and the design of production AI solutions ? The AI Azure Certified Path — AI Engineer is a complete curriculum of 5 modules that takes a developer or cloud engineer from AI Azure fundamentals to the Azure AI Engineer Associate (AI-102) profile.
Exam voucher AI-900 and AI-102 included, Applied Skills AI-200 and AI-3004 available free of charge on Microsoft Learn, small group of 1 to 3 participants, sessions guaranteed from a single enrolment.
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Who is this path for?
- Developers wishing to integrate Azure AI features into their applications.
- Data engineers and data scientists aiming for an AI engineer profile on Azure with a recognised certification.
- Solution architects and cloud architects responsible for integrating AI building blocks into their organisation’s IT systems.
- IT consultants and freelancers who want to upskill on Azure AI and aim for the Azure AI Engineer Associate certification.
- CIOs and technical managers who lead the deployment of AI solutions in the enterprise on the Microsoft Azure platform.
Your objectives at the end of the path
- Understand the fundamental concepts of AI and machine learning on Azure and identify the services suited to each use case (AI-901).
- Develop complete cloud AI solutions on Azure: AI service integration, data processing, containerisation, deployment (AI-200).
- Design and deploy computer vision solutions on Azure: object recognition, OCR, custom image analysis (AI-3004).
- Design, implement and maintain production Azure AI solutions including NLP, vision, generative AI and security (AI-102).
- Pass the Azure AI Engineer Associate (AI-102) certification with confidence, exam voucher included.
The 5 modules of the path
Each module can be taken separately or as part of the full path. The progression starts from AI Azure fundamentals and gradually leads to a certified Azure AI Engineer profile, able to design and deploy complete production AI solutions.
Module 1 · AI-901
Introduction to Artificial Intelligence in Azure
Get started with AI and machine learning concepts on Azure: AI Foundry services, Azure OpenAI, AI Vision, AI Language. Preparation for the AI-900 exam. Exam voucher included.
Indicative duration: 1 day (6 h)
Module 2 · AI-200
Develop cloud AI solutions on Microsoft Azure
Design and deploy complete AI solutions on Azure: Docker containerisation, Azure CLI, REST APIs, JSON, embeddings and similarity search. Validated by the AI-200 Applied Skill. Free Microsoft Learn assessment.
Indicative duration: 5 days (30 h)
Module 3 · AI-3004
Azure AI Vision — Applied Skill
Build computer vision applications on Azure: object recognition, Custom Vision, OCR, facial analysis in compliance with responsible AI. Validated by the AI-3004 Applied Skill. Free Microsoft Learn assessment.
Indicative duration: 1 day (6 h)
Module 4 · AI-102
Designing and Implementing a Microsoft Azure AI Solution
Design, implement and maintain complete production Azure AI solutions: NLP integration, Vision, generative AI, monitoring, security, responsible AI. Preparation for the AI-102 exam. Exam voucher included.
Indicative duration: 4 days (24 h)
Module 5 · AZ-900
Microsoft Azure Fundamentals
Lay the essential cloud foundations before the AI modules: Azure concepts, core services, security, governance, pricing and support. The ideal base to approach the path on solid ground.
Indicative duration: 2 days (12 h)
MFE-IT teaching format
- Small group of 1 to 3 participants, guaranteed from a single enrolment.
- 60% hands-on : guided labs on a demonstration Azure tenant, mini-projects on Azure OpenAI, Azure AI Foundry, Custom Vision, personalised feedback.
- On-site at your premises or synchronous remote, with individualised support throughout the path.
- AI-900 and AI-102 exam vouchers included. Applied Skills AI-200 and AI-3004 available free of charge on Microsoft Learn.
- Quiz platform included in our prices: practise under exam conditions, with a detailed report provided at the end of each quiz.
- Solidar-IT : 30 € per participant donated to our partner charities (SPA, Restos du Cœur).
Prerequisites
Prerequisites specific to each module:
- Introduction to AI in Azure (preparation for the AI-900 exam): basic knowledge of Python and cloud notions (storage, compute, authentication) welcome.
- Develop cloud AI solutions on Azure ( AI-200 validation): programming experience in Python, JavaScript or C#; understanding of Azure services and cloud computing; knowledge of Docker, Azure CLI, JSON and Machine Learning concepts recommended.
- Azure AI Vision Applied Skill ( AI-3004 validation): familiarity with Azure and the Azure portal; programming experience in C# or Python; understanding of APIs and SDKs to build solutions on Azure.
- Azure AI Engineer Associate (preparation for the AI-102 exam): mastery of Azure fundamentals; development experience in Python or C#; knowledge of JSON and REST APIs to integrate Azure AI services.
If you are unsure about your starting level, we offer a preliminary 30-minute discussion to assess your profile and tailor the path’s progression to your objectives.
Pricing and financing
The price for the full path or for each module is set on a quote basis, depending on the number of participants and the chosen format (on-site at your premises or synchronous remote). Indicative price for the full path: 7,260 € excl. VAT (trainings + 2 exam vouchers AI-900 and AI-102 + corrected mock exams).
Financing solutions : skills development plan, self-financing. All arrangements and eligibility conditions are detailed on our dedicated page.
Request a personalised quote: we reply within 48 h.
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Frequently asked questions about the AI Azure path
WHO IS THE AI AZURE PATH — AI ENGINEER FOR?
The AI Azure path is aimed at developers, solution architects, data engineers and technical project managers who want to move from “understanding AI” to “designing and deploying AI solutions on Azure”. Target profiles: Azure developers wishing to add an AI dimension to their role, cloud consultants looking to specialise, DevOps engineers required to industrialise models. Prior knowledge of Azure (equivalent to AZ-900) and Python basics are recommended to get the most out of the progression.
What Azure AI skills and certifications does the path cover?
The path covers AI engineering on Azure: fundamentals (AI-900), designing and deploying AI solutions (AI-102), advanced cloud AI solutions (AI-200) and agent development (AI-3004), with Azure OpenAI and Azure AI services.
Does the path address Azure OpenAI and agents/RAG?
Yes. The path covers Azure AI services, Azure OpenAI, AI solution design and agent development (including RAG approaches) to industrialise generative-AI applications.
HOW LONG DOES THE PATH LAST AND CAN IT BE SPREAD OUT?
The path represents 13 days of training, i.e. 78 hours, at a rate of 6 hours per day. You can take it continuously over three weeks or spread it over several months depending on your constraints. At MFE-IT, sessions are guaranteed from a single enrolled participant (except in cases of force majeure), which allows you to schedule each module at your own pace without depending on a group’s calendar.
WHAT EXACTLY DOES THE PRICE INCLUDE?
The price covers the four official trainings (AI-901, AI-200, AI-3004 and AI-102), the two Microsoft exam vouchers for the paid certifications (AI-900 and AI-102), and two MFE-IT mock exams to practise in real conditions. The Applied Skills AI-200 and AI-3004 are free on the Microsoft side and therefore at no extra cost. Everything is delivered on-site or remotely depending on your choice, with 30 days of post-training follow-up by email.
WHAT ARE THE PREREQUISITES TO START THE PATH?
The path starts with the fundamentals (AI-901) and therefore does not require any AI knowledge. However, familiarity with Azure (equivalent to AZ-900) and Python basics are necessary for the AI-200, AI-3004 and AI-102 modules, which are more technical. If you lack these prerequisites, we can add an AZ-900 training and a Python introduction beforehand — feel free to contact us to discuss it.
REMOTE OR ON-SITE? HOW DO THE SESSIONS TAKE PLACE?
Both formats are possible, including a hybrid mix from one module to another. On-site training can take place directly at your premises, and remote sessions can be recorded on request so that you can review key passages. Each session has between 1 and 3 participants maximum, with around 60% of the time devoted to hands-on practice in real Azure environments. You leave each module with concrete deliverables (notebooks, scripts, configurations) directly reusable in your professional context.
WHICH JOB DOES THIS PATH LEAD TO?
This path prepares you for the role of Azure AI Engineer (officially recognised by the AI-102 certification): a profile able to design, implement and deploy AI solutions on Azure — computer vision, NLP, generative AI, agents and copilots. The opportunities span cloud AI engineer, AI solution architect and lead ML/AI engineer roles in IT services companies, scale-ups and large accounts that are industrialising their AI use cases.
WHAT IS THE MARKET VALUE OF THE CERTIFICATIONS OBTAINED?
At the end of the path, you obtain the globally recognised Microsoft Certified: Azure AI Engineer Associate (AI-102) certification, plus the Applied Skills AI-200 (Develop Generative AI Solutions) and AI-3004 (Azure AI Vision), which appear directly on your Microsoft Learn and LinkedIn profile. It is currently one of the most sought-after combinations in cloud-AI job postings, and it clearly sets you apart from profiles that only hold a general certification such as AZ-900 or AI-900.
WHAT IS THE DIFFERENCE WITH THE “AI AGENTS & COPILOT” PATH?
The AI Azure — AI Engineer path aims to make you a developer of complete AI solutions on Azure: models, cognitive services, integration via SDK, deployment. The AI Agents & Copilot path, on the other hand, focuses on designing intelligent agents and business copilots (Microsoft Copilot Studio, autonomous agents, RAG, orchestration). The two are complementary: one trains the AI engineer, the other the architect of intelligent conversational experiences. Depending on your target role, one will be more relevant than the other — we help you choose during the preliminary interview.