Training: Mastering Celery in Python - Asynchronous Task and Queue Management

$3,465

  • 3 days
  • Onsite
  • 8 people max.
Ref: DHO180
8 people max.
$3,465
In-company rate: from $6,290 for the whole team
On-site and certification exam on quote
3 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastery of Celery for asynchronous task and queue management in Python, your backend applications suffer chronic bottlenecks, quadrupling the processing time of critical requests.

  • 65% of production incidents at Python companies stem from poor asynchronous orchestration, generating downtimes costing an average of 15 000 € per hour according to DevOps reports.

  • Each month without these skills exposes your team to 25% project delays, compromising scalability and risking major client losses.

  • Your competitors scale seamlessly while your infrastructure collapses under load.

Célian Lebacle, Learni trainer · Web & mobile expert
Célian Lebacle

Learni trainer · Web & mobile expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

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  • Microsoft

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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

Celery in Python training objectives

  • Understand the fundamentals of Celery and the asynchronous paradigm
  • Install, configure and integrate Celery into a Python/Django/Flask project
  • Create, execute and monitor simple and complex asynchronous tasks
  • Use different brokers (RabbitMQ, Redis) and understand their configuration
  • Implement fault tolerance, scheduling and queue management
  • Supervise, debug and optimize Celery performance in production

Celery in Python curriculum: 3 modules over 3 days

Module 1 : Introduction to Asynchronism and Celery

Why asynchronism? Presentation of asynchronous stacks with Python. Overview of Celery, use cases in modern web. Installation, basic architecture, configuration of a minimal project, integration with Flask and Django, getting started with first workers.

Module 2 : Productivity and Robustness with Celery

Broker management (RabbitMQ vs Redis), advanced configuration, serialization and result management, security. Task scheduling (synchronous, asynchronous, periodic). Exception handling, restarts and retries. Building workflows (chaining, grouping, chord).

Module 3 : Putting Celery into Production and Supervision

Monitoring with Flower, logs and monitoring, worker tuning, optimization of memory consumption and execution time. Automation, scalability management, deployment (Docker), robustness best practices, backup, real case studies, bug resolution, final practical workshop on a company project.

How Celery in Python skills are assessed

  • Intermediate multiple-choice quizzes at the end of each module
  • Red thread exercise: Deployment of a complete Celery architecture on a business case
  • Code analysis and personalized feedback

How the Celery in Python course is taught

  • Interactive courses and live demonstrations
  • Numerous practical exercises adapted to real use cases
  • Individual and collaborative work with corrections
  • Complete course materials (slides, code, step-by-step tutorials)

Celery in Python training: access and practical arrangements

The Training: Mastering Celery in Python - Asynchronous Task and Queue Management 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: Mastering Celery in Python - Asynchronous Task and Queue Management 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: Mastering Celery in Python - Asynchronous Task and Queue Management 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.

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.

Our method

How Learni guarantees the quality of your Celery in Python training

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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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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Our social commitment

A school kit donated to a child for every training booked

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
Enroll and offer a kit
FAQ

Celery in Python: frequently asked questions

What can participants do after Training: Mastering Celery in Python training?+
They can understand the fundamentals of Celery and the asynchronous paradigm, install, configure and integrate Celery into a Python/Django/Flask project and create, execute and monitor simple and complex asynchronous tasks. Those are the stated objectives of the Training: Mastering Celery in Python program at Intermediate level, checked by the end-of-session assessment.
What does the Training: Mastering Celery in Python program cover, day by day?+
Day 1: Introduction to Asynchronism and Celery. Day 2: Productivity and Robustness with Celery. Day 3: Putting Celery into Production and Supervision. The Training: Mastering Celery in Python program runs over 3 days, delivered on site.
How is Training: Mastering Celery in Python training assessed?+
Assessment relies on intermediate multiple-choice quizzes at the end of each module, red thread exercise: Deployment of a complete Celery architecture on a business case and code analysis and personalized feedback. Learni issues a completion certificate together with the individual assessment report at the end of the Training: Mastering Celery in Python program, which an L&D team can file as evidence.
How much does Training: Mastering Celery in Python training cost per participant?+
Training: Mastering Celery in Python training costs $3,465 per participant. For an in-company team, the flat rate starts at $6,290 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Training: Mastering Celery in Python training take?+
3 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Training: Mastering Celery in Python training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Training: Mastering Celery in Python training?+
Good mastery of Python and web development fundamentals (Flask or Django recommended).
Is a certificate issued after Training: Mastering Celery in Python training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Training: Mastering Celery in Python training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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