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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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Artificial Intelligence training in Raleigh in June 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in Glasgow in June 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Professional Training training in Fort Worth in July 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Professional Training training in Tucson in December 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
The Complete Training: Mastering Redis Queue (RQ) for Asynchronous Task Management 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 Complete Training: Mastering Redis Queue (RQ) for Asynchronous Task Management 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 Complete Training: Mastering Redis Queue (RQ) for Asynchronous Task Management training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
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.
Discover a step-by-step roadmap to become a skilled AI engineer by March 2026. From prerequisites to advanced projects, tools, and job strategies, this guide covers everything for aspiring professionals.
Software Development training in Louisville in January 2025 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Overview of asynchronism challenges, comparison of solutions (Celery, RQ, Dramatiq). Installation of Redis and RQ, hands-on with core concepts (workers, jobs, queues), basic configuration of a Python project using RQ. Initial practical tests with simple task execution and feedback.
Multi-queue management: priorities, strategies, and best practices. Setting up recurring jobs, exception handling and retries, serialization/deserialization, passing complex parameters. Security, persistence management, clean-up rules, and handling of failed tasks.
Hands-on with RQ Dashboard and monitoring tools. Tracking, log analysis, and alerts. Performance optimization (worker count, partitioning, Redis tuning), scalability. Deployment automation (Supervisor, systemd, Docker). Practical case studies, production rollout, security checklist, and post-deployment support.
Target audience
Python developers, system administrators, and software architects who wish to integrate and optimize asynchronous task management in their applications
Prerequisites
Basic proficiency in the Python language. Knowledge of software architecture and databases recommended.
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