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Software Developer
Build AI features into production applications
AI Engineer
Integrate multiple Azure AI services reliably
Technical Consultant
Design and justify Azure AI architectures
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This course runs multiple times per year, onsite and online.
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Abilene Academy is the only PECB Titanium Partner in Switzerland — the highest accreditation tier in the industry — delivering certified training in information security, data protection, AI governance, and GRC compliance. 99% exam pass rate. 2,500+ professionals trained across 120+ countries and trusted by 600+ organizations. Multilingual programmes available.
Develop, deploy, and manage Azure AI applications across language, vision, and generative use cases
This AI-102: Designing and Implementing a Microsoft Azure AI Solution session in Lausanne / Morges - Switzerland on 17 August 2026 – 19 August 2026 has now ended. It was delivered in EN. Browse our upcoming sessions to find a date that works for you.
Organizations deploy AI systems under increasing pressure to deliver measurable outcomes while controlling costs, latency, and data governance risks. Azure AI services now form a central layer in enterprise architectures, especially for document processing, conversational interfaces, and visual data analysis. Developers must move beyond isolated models and build integrated, production ready AI systems aligned with cloud constraints and security expectations.
During this training, participants build working AI applications using Azure AI Foundry and core services. They design pipelines that extract structured data from forms, create conversational agents with multi turn logic, and deploy image classification and object detection models. Exercises include integrating services via REST APIs and SDKs, configuring speech recognition and synthesis, and building applications that combine multiple modalities such as text, image, and audio. Each module requires participants to produce working components and validate outputs.
The course addresses gaps that most Azure trainings ignore. Participants learn how to handle inconsistent input data, manage API limits, structure prompts for reliable outputs, and ensure traceability of AI decisions. They also resolve integration issues between services, manage authentication flows, and align outputs with business requirements. Focus remains on implementation constraints rather than feature lists.
Participants leave able to design, build, and deploy Azure AI applications that operate in real environments. They produce working pipelines, configure services for production use, and justify architectural decisions. They can lead implementation discussions, evaluate tradeoffs between services, and prepare for the AI 102 certification exam with direct hands on experience.
Microsoft Trainings
A skilled specialist on Microsoft products. Has more than 15 years of empirical experience in several domains among which are Operations and Business Development, Commercial and Presales Consultancy, System and Security Engineering. Over the last five years, his training schedules extended to top executives and IT Business professionals in the Middle East, Europe, and USA.
Microsoft Trainings
Specialized in Web and Application Development and has done extensive research and implementation in Artificial Intelligence. Holder of a master’s degree in Mathematics, Ramzi is also a Microsoft Certified Trainer with more than 17 years of experience.
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View course →3 days
Exam Included · Certification Available