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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master Celery configuration for asynchronous tasks in enterprise settings
- Develop and execute distributed tasks with performant workers
- Implement priority queues and scheduling with Celery Beat
- Set up advanced monitoring via Flower for professional supervision
- Optimize Celery in production with scaling and error management
- Integrate Celery into Python applications to boost backend skills
Our social commitment
A school kit donated to a child for every training
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Don't let this gap widen
Why this program matters
Without Celery mastery, your Python backend applications suffer blockages on long tasks, increasing response times by 300% and frustrating end users.
Teams lose an average of 45% productivity on synchronous processing, with infrastructure costs inflated by 25% to compensate for the slowdowns.
In 2024, 68% of scalability incidents at tech SMEs stem from a lack of async management, threatening competitiveness and the careers of untrained developers.
Every delay widens the gap with agile competitors who process millions of tasks without issues.
Program
Module 1Celery Fundamentals: Installation, Broker, and Basic Tasks (Redis, RabbitMQ, Workers)
Quick installation of Celery in a Python virtual environment, broker configuration with Redis or RabbitMQ for reliable message management, creation of simple asynchronous tasks on concrete cases like email sending or heavy file processing, launching workers locally and testing distributed execution, practical exercises to debug and monitor the first queues, development of a scalable red thread project from the first day.
Module 2Advanced Celery: Scaling, Monitoring, and Deployment (Flower, Celery Beat, Production)
Deployment of Celery in a cluster with multiple workers and priority queues to handle high volumes, integration of Celery Beat for periodic scheduling of critical enterprise tasks, hands-on with Flower for a real-time monitoring dashboard with metrics and alerts, performance optimization via retry and rate limiting on real scenarios, finalization of the red thread project with endurance tests and Docker deployment documentation, immediate application of acquired skills.
Evaluation method
- Multiple-choice quiz to validate acquired knowledge at the end of the training
- Continuous evaluation through practical exercises on Celery tasks
- Presentation of the red thread project with workers and monitoring
Learning method
- Courses led by an active Celery expert trainer
- Practical exercises on real enterprise asynchronous cases
- Progressive red thread project with simulated production Celery
- Complete course materials and source codes provided to participants
Methods, materials and delivery
The Training Celery - Mastering Asynchronous Python Tasks program is delivered onsite or remote (blended-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 Celery - Mastering Asynchronous Python Tasks 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 Celery - Mastering Asynchronous Python Tasks 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
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
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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FAQ
Frequently asked questions
How much does the Training Celery - Mastering Asynchronous Python Tasks training cost?+
The price is $2,940 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training Celery - Mastering Asynchronous Python Tasks training?+
The training lasts 2 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Mastery of Python 3, basic knowledge of Redis or RabbitMQ, and web frameworks like Django or Flask
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote
This training across cities
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