Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
Learning objectives
- Master Azure AI services to design and implement intelligent solutions tailored to professional needs.
- Effectively prepare for the AI-102 exam by acquiring the key skills validated by Microsoft.
- Configure and deploy machine learning models on Azure Machine Learning and Cognitive Services.
- Implement CI/CD pipelines for scalable and secure AI applications.
- Validate your professional AI engineering skills through practical labs on the Azure console.
- Optimize the performance and costs of Azure AI solutions for production deployments.
- Pass the Azure AI Engineer Associate AI-102 certification to certify your expertise.
The Learni story
Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.
Don't let this gap widen
Why this program matters
Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.
Organizations that don't train their talents on key topics see their competitiveness drop.
Every quarter without training is a gap widening with competitors who invest.
The cost of inaction quickly exceeds that of well-targeted training.
Program
Module 1Azure AI Fundamentals: Cognitive Services and Language Processing (Azure AI Services, Cognitive Services, interactive labs)
Discover the pillars of AI on Azure with an immersion in Azure AI Services and Cognitive Services. Configure APIs for vision, natural language, and speech through practical exercises on the Azure console. Explore real implementation cases for intelligent chatbots and sentiment analysis, by performing hands-on labs that simulate professional projects, strengthening your skills for immediate and impactful AI solutions.
Module 2Advanced Azure AI Solutions: Machine Learning and Deployment (Azure ML Studio, pipelines, containers, modeling labs)
Dive into Azure Machine Learning to train, deploy, and manage ML models at scale. Implement automated pipelines, integrate containers, and optimize for production with exercises on Azure console. Address concrete cases like prediction and customer personalization, via collaborative labs that prepare for real deployments, boosting your Azure AI engineering expertise for performant and secure applications.
Module 3Intensive AI-102 Exam Preparation: Comprehensive Review and Simulation (Practice MCQs, strategies, skills review)
Decisive day dedicated to passing the AI-102 exam: exhaustive review of Azure AI topics, solving timed practice MCQs identical to the official exam, and mastering passing strategies (time management, common pitfalls). Strengthen your knowledge through final labs on complex cases, with personalized feedback from the certified trainer. Leave ready to validate your Azure AI Engineer certification and propel your career.
Evaluation method
- Daily interactive quizzes to validate theoretical knowledge.
- Graded practical labs on Azure console with immediate feedback.
- Full AI-102 exam simulation on day 3 (MCQs and case studies).
- Qualiopi training certificate and post-training follow-up for certification.
Learning method
- 70% practical methodology: hands-on labs on a dedicated Azure platform.
- Real-world use cases inspired by enterprise projects for immediate application.
- Live pedagogical support with Microsoft Certified Trainer.
- Digital resources: session replays, slides, exercises for self-review.
Methods, materials and delivery
The Training Azure AI Engineer AI-102 - Earn Your Certification in 3 Days April 2026 program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Training Azure AI Engineer AI-102 - Earn Your Certification in 3 Days April 2026 program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training Azure AI Engineer AI-102 - Earn Your Certification in 3 Days April 2026 program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.
Verified reviews
What our learners
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
Our method
Training quality, guaranteed at every step
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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