Training Dagster - Orchestrating Advanced Data Pipelines

$5,775

  • 5 days
  • Onsite
  • 10 people max.
Ref: YNM853
10 people max.
$5,775
In-company rate: from $10,395 for the whole team
On-site and certification exam on quote
5 days
Onsite

Don't let this gap widen

Why this program matters

  • Without advanced Dagster mastery, 70% of traditional data pipelines fail according to Databricks, generating annual losses of 15 million € per company from stale data.

  • Data engineers lose 40% productivity against rigid tools like Airflow, exposing the company to GDPR regulatory risks and bad decisions that cost up to 20% of revenue.

  • Your career stagnates: promotions blocked, salaries 25% below those of Dagster experts.

  • Invest in this training to secure your pipelines, boost reliability, and advance your data expertise inside the company.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI 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

Trusted by — schools, companies and industrial groups

25,807 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft

Every program built with a dedicated engineer

  • OpenAI
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  • Microsoft Dynamics 365
  • Salesforce
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  • Aruba
  • VMware
  • Red Hat
  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

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

Dagster training objectives

  • Master dynamic assets and partitions in Dagster for scalable pipelines
  • Develop complex jobs with backfills and sensors for optimal enterprise reactivity
  • Design multi-asset graphs integrating MLOps in a Qualiopi-certified framework
  • Implement Dagster Cloud deployments with CI/CD to accelerate data skills
  • Optimize performance via Dagit and advanced monitoring for sustainable professional skills
  • Manage errors and resilience of data pipelines in an enterprise-certified context

Dagster curriculum: 5 modules over 5 days

Module 1 : Advanced Dagster Assets: Dynamic Modeling and Partitions (Dagit Tools, Backfill Methods)

Discover dynamic assets in Dagster through practical workshops on real datasets, configure temporal partitions for daily data flows, test inter-asset dependencies with collaborative exercises, generate visualizations in Dagit to validate lineages, and produce a first partitioned pipeline as a deliverable, strengthening your certified professional orchestration skills.

Module 2 : Dagster Jobs and Graphs: Multi-Step Orchestration (Sensors, Backfills, Python Tools)

Dive into creating complex jobs with reactive sensors to trigger intelligent executions, implement backfills on large historical data during hands-on workshops, integrate shared resources like S3 or Postgres, debug via Dagster's advanced logs, and deploy a complete graph simulating an enterprise ETL, focusing on scalability and testable deliverables.

Module 3 : ML Integrations and Data Mesh in Dagster: MLOps Assets (Pandas, dbt, Hugging Face)

Explore ML assets in Dagster combined with dbt for data mesh pipelines, develop models with Hugging Face integrated into fan-out jobs, test incremental materialization on real enterprise cases, configure IO managers for Kubernetes, analyze metadata via Dagit, and produce an end-to-end ML pipeline as a deliverable, optimizing your advanced certified data engineering skills.

Module 4 : Dagster Deployment and CI/CD: Dagster Cloud and Helm (Docker, GitHub Actions)

Master Dagster+Postgres deployment in SaaS or self-hosted mode, automate CI/CD pipelines with GitHub Actions and Helm charts during intensive labs, migrate legacy assets to Dagster, monitor runs with Slack alerts, scale horizontally on Kubernetes, and validate a full-stack deployment as a final deliverable, preparing for professional enterprise environments.

Module 5 : Dagster Optimization and Resilience: Monitoring, Errors, Scaling (Prometheus, Retries)

Optimize performance with advanced retries and intelligent caching on massive workloads, integrate Prometheus for proactive monitoring, manage errors with custom handlers in live debugging workshops, simulate failures to test resilience, analyze costs via Dagit insights, and conclude with a capstone project deliverable certifying your advanced enterprise data orchestration skills.

How Dagster skills are assessed

  • Daily interactive quizzes and coding challenges on Dagster
  • Final project: complete pipeline deployed and documented
  • 360° evaluation by Qualiopi-certified trainers with personalized feedback

How the Dagster course is taught

  • Hands-on projects on real datasets to anchor Dagster skills
  • Pair exercises promoting exchange and collaborative problem-solving
  • Case studies from Fortune 500 companies using Dagster
  • Unlimited access to replays and post-training resources for 6 months

Dagster training: access and practical arrangements

The Training Dagster - Orchestrating Advanced Data Pipelines 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 Dagster - Orchestrating Advanced Data Pipelines 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 Dagster - Orchestrating Advanced Data Pipelines 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 Dagster 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.

A child walking to school with a backpack
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

Dagster: frequently asked questions

Which tools are used in Dagster training?+
Hands-on work runs on dagit Tools, backfill Methods, sensors, backfills, python Tools and pandas. Those tools come from the Dagster program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after Dagster training?+
They can master dynamic assets and partitions in Dagster for scalable pipelines, develop complex jobs with backfills and sensors for optimal enterprise reactivity and design multi-asset graphs integrating MLOps in a Qualiopi-certified framework. Those are the stated objectives of the Dagster program at Advanced level, checked by the end-of-session assessment.
What does the Dagster program cover, day by day?+
Day 1: Advanced Dagster Assets: Dynamic Modeling and Partitions (Dagit Tools, Backfill Methods). Day 2: Dagster Jobs and Graphs: Multi-Step Orchestration (Sensors, Backfills, Python Tools). Day 3: ML Integrations and Data Mesh in Dagster: MLOps Assets (Pandas, dbt, Hugging Face). Day 4: Dagster Deployment and CI/CD: Dagster Cloud and Helm (Docker, GitHub Actions). Day 5: Dagster Optimization and Resilience: Monitoring, Errors, Scaling (Prometheus, Retries). The Dagster program runs over 5 days, delivered on site.
How is Dagster training assessed?+
Assessment relies on daily interactive quizzes and coding challenges on Dagster, final project: complete pipeline deployed and documented and 360° evaluation by Qualiopi-certified trainers with personalized feedback. Learni issues a completion certificate together with the individual assessment report at the end of the Dagster program, which an L&D team can file as evidence.
How much does Dagster training cost per participant?+
Dagster training costs $5,775 per participant. For an in-company team, the flat rate starts at $10,395 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 Dagster training take?+
5 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 Dagster 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 Dagster training?+
Advanced Python proficiency, SQL experience, knowledge of data orchestration tools like Airflow or Prefect.
Is a certificate issued after Dagster 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.
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