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 deploy intelligent solutions tailored to professional needs.
- Configure and implement cognitive vision features with Azure AI Vision and Custom Vision.
- Effectively prepare for the AI-102 exam by mastering the evaluated skills to obtain the Azure AI Engineer Associate certification.
- Deploy natural language processing (NLP) models via Azure Cognitive Language Service.
- Validate your professional AI engineering skills on Azure through practical labs and real-world cases.
- Optimize CI/CD deployment pipelines for scalable AI applications on Azure.
- Pass the AI-102 exam with confidence through intensive dedicated preparation.
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 Vision (Computer Vision, Custom Vision, practical labs)
Discover the pillars of AI on Azure with an immersion in essential cognitive services. Configure Azure AI Vision to analyze images and videos, train Custom Vision models via hands-on labs on the Azure console. Explore real-world enterprise implementation cases, with practical exercises to solidify skills and prepare for advanced solutions.
Module 2Azure NLP and Decision Solutions: Language Service, Anomaly Detector (console exercises, real cases)
Dive into advanced language processing and anomaly detection with Azure Cognitive Services. Implement intelligent chatbots, extract textual insights, and deploy predictive models via interactive exercises on the Azure console. Analyze concrete use cases in DevOps and cloud architecture, strengthening your skills for impactful and scalable professional projects.
Module 3Intensive Preparation for AI-102 Exam: Practice MCQs, Full Review, Success Strategies
Decisive day dedicated to certification: structured review of all AI-102 domains, timed practice MCQs simulating the real exam, and sharing of infallible strategies to maximize your score. Consolidation labs on complex Azure AI scenarios, with personalized feedback from experts. Leave the training ready to validate your Azure AI Engineer certification.
Evaluation method
- Continuous assessment via practical labs and Azure console exercises.
- Practice MCQs and AI-102 exam simulations to measure mastery.
- Interactive quizzes and individual feedback at the end of each day.
- Final project: deployment of a complete AI solution evaluated by trainers.
Learning method
- 70% hands-on methodology: real Azure labs with dedicated console access.
- Real-world case studies inspired by enterprise projects for immediate application.
- Personalized pedagogical support and post-training resources (videos, docs).
- Class limited to 10 participants for optimal follow-up.
Methods, materials and delivery
The Training Azure AI Engineer AI-102 - Earn Your Certification in 3 Days May 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 May 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 May 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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