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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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Discover step-by-step methods to master bookkeeping and accounting fundamentals in April 2026. Explore online courses, tools, practice tips, and future trends like AI integration for aspiring professionals.
Professional Training training in Dallas in July 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
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The Training Amazon Q 2026 - Expert AWS Generative AI Optimization training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training Amazon Q 2026 - Expert AWS Generative AI Optimization training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training Amazon Q 2026 - Expert AWS Generative AI Optimization training is carried out through:
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Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Dive into expert configuration of Amazon Q 2026 via AWS Bedrock, create your first autonomous AI agents for complex tasks, integrate custom APIs and private datasets, perform hands-on exercises on real enterprise cases like code review automation, generate functional deliverables tested live, with initial prompt optimization for a 40% accuracy increase from the first session.
Deepen Retrieval-Augmented Generation with Amazon Q 2026 on SageMaker, train custom models via fine-tuning on enterprise data, handle vector embeddings for ultra-precise semantic searches, apply exercises to critical business scenarios like predictive analysis, produce scalable RAG pipelines with performance metrics, and validate productivity gains up to 60% on concrete cases.
Master deployment of Amazon Q 2026 in AWS production with CI/CD pipelines, implement security guardrails for GDPR compliance and enterprise-grade standards, configure advanced monitoring via CloudWatch and X-Ray for real-time anomaly detection, test on a complete enterprise ongoing project, generate custom dashboards and certifying reports, ensuring 70% downtime reduction and infinite scalability.
Target audience
AI Engineers, AWS Architects, and DevOps professionals seeking to upskill on Amazon Q
Prerequisites
Advanced expertise in AWS (Bedrock, SageMaker), Python, and AI APIs
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