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 intelligent and scalable solutions.
- Effectively prepare for the AI-102 exam by validating your professional skills.
- Configure and deploy AI models using Azure Machine Learning and Cognitive Services.
- Implement CI/CD pipelines for AI applications on Azure DevOps.
- Validate the Azure AI Engineer Associate certification through practical labs.
- Optimize AI solutions for performance and security on Azure.
- Deploy conversational bots and intelligent search systems.
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 1Designing Azure AI Solutions: Cognitive Services, Azure AI Search, and Vision (hands-on labs on Azure console)
Discover the fundamentals of designing AI solutions with Azure: dive into Cognitive Services for speech and visual recognition, Azure AI Search for advanced search, and Azure OpenAI for generative AI. Through hands-on labs on the Azure console, apply these tools to real-world cases like image analysis or content generation, optimizing costs and scalability for impactful professional projects.
Module 2Implementing and Managing Azure Machine Learning: Models, Pipelines, and Security (console exercises and real-world cases)
Get hands-on with Azure Machine Learning to train, deploy, and manage AI models. Implement MLOps pipelines, integrate Bot Framework for virtual assistants, and secure workloads with Azure Key Vault. Hands-on exercises on the Azure console simulate real enterprise scenarios, such as customer prediction or process automation, building production-ready deployment skills.
Module 3Intensive Preparation for the AI-102 Exam: Practice Tests, Targeted Review, and Success Strategies
Decisive day dedicated to certification: comprehensively review AI-102 exam domains through timed practice multiple-choice questions, full simulations, and proven exam strategies (time management, common pitfalls). Analyze your responses with personalized feedback, reinforce labs from previous days, and leave ready to validate your Azure AI Engineer certification for immediate impact on your CV and career.
Evaluation method
- Interactive quizzes and multiple-choice questions at the end of each day to validate assimilation.
- Graded practical labs on the Azure console with expert feedback.
- Full AI-102 exam simulation on day 3 to assess readiness.
- Personalized final evaluation with a post-training action plan.
Learning method
- Active pedagogy: 70% hands-on with real Azure labs (credits provided).
- Live interactive remote sessions in small groups (max 10 participants).
- Digital resources: replays, PDF materials, extended access to the Azure environment.
- Blended learning methodology for optimal skill retention.
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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