Training Great Expectations 2026 - Data Quality Expertise

Very demanding course · Expertise required

$5,775

  • 5 days
  • Onsite
  • 10 people max.
Ref: SSM164
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

  • Companies lose 15% of revenue on average due to poor-quality data.

  • Without mastery of Great Expectations, pipelines accumulate invisible errors that blow up in production.

  • DevOps teams suffer repeated incidents and loss of trust from the business.

  • Regulatory non-compliance also exposes companies to growing fines.

  • Acting now avoids these major risks.

Alicia DIOH, Managing Director · Finance, AI & Management trainer
Alicia DIOH

Managing Director · Finance, AI & Management trainer

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

41,114 programs · 25 countries

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

Every program built with a dedicated engineer

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

Great Expectations training objectives

  • Master Great Expectations for robust professional pipelines.
  • Develop expert skills in certified data validation.
  • Design automated tests integrated into enterprise DevOps workflows.
  • Optimize data quality with Great Expectations in production.
  • Implement advanced monitoring strategies for the enterprise.
  • Train teams on Great Expectations best practices.

Program

Great Expectations curriculum: 5 modules over 5 days

Module 1 : Theme: Great Expectations installation and advanced configuration (Python, YAML, checkpoints)

Participants install Great Expectations and configure a complete project. They explore datasources, create expectation suites, and integrate checkpoints. Practical exercises focus on real datasets. They discover data profiles and generate initial documentation. Real-world enterprise cases illustrate the expected deliverables.

Module 2 : Theme: Great Expectations custom validators and complex tests (Python, Pandas, Spark)

This day deepens the creation of custom validators. Learners develop advanced business rules and test multi-source scenarios. They use Pandas and Spark for large-scale validations. Concrete examples show integration into existing pipelines. Deliverables include reusable test suites.

Module 3 : Theme: Great Expectations and GitHub GitLab integration (CI/CD, versioning, actions)

Experts connect Great Expectations to versioning tools. They automate runs via GitHub Actions and GitLab CI. Exercises focus on controlling data changes. Enterprise cases demonstrate full traceability. Participants deliver versioned and tested pipelines.

Module 4 : Theme: Great Expectations production deployment and monitoring (Airflow, Kubernetes, alerting)

This session covers production deployment. Learners orchestrate Great Expectations with Airflow and Kubernetes. They set up alerts and dashboards. Concrete cases show real-time anomaly detection. Deliverables include monitored and scalable configurations.

Module 5 : Theme: Great Expectations optimization and certification (best practices, audits, reporting)

The final day optimizes performance and prepares for certification. Participants audit existing projects and improve coverage. They create advanced reports for decision-makers. Enterprise cases validate the acquired skills. Final deliverables include a complete certifying project.

How Great Expectations skills are assessed

  • Daily quizzes on Great Expectations concepts.
  • Final project with complete pipeline and documentation.
  • Oral defense of deliverables at the end of the training.

How the Great Expectations course is taught

  • Short, targeted theoretical inputs each morning.
  • Practical workshops on real enterprise datasets.
  • Personalized feedback on Great Expectations configurations.
  • Access to a post-training resource platform.

Great Expectations training: access and practical arrangements

The Training Great Expectations 2026 - Data Quality Expertise 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 Great Expectations 2026 - Data Quality Expertise 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 Great Expectations 2026 - Data Quality Expertise 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 Great Expectations 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

Great Expectations: frequently asked questions

Which tools are used in Great Expectations 2026 training?+
Hands-on work runs on python, YAML, checkpoints, pandas, spark and CI. Those tools come from the Great Expectations 2026 program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after Great Expectations 2026 training?+
They can master Great Expectations for robust professional pipelines, develop expert skills in certified data validation and design automated tests integrated into enterprise DevOps workflows. Those are the stated objectives of the Great Expectations 2026 program at Expert level, checked by the end-of-session assessment.
What does the Great Expectations 2026 program cover, day by day?+
Day 1: Theme: Great Expectations installation and advanced configuration (Python, YAML, checkpoints). Day 2: Theme: Great Expectations custom validators and complex tests (Python, Pandas, Spark). Day 3: Theme: Great Expectations and GitHub GitLab integration (CI/CD, versioning, actions). Day 4: Theme: Great Expectations production deployment and monitoring (Airflow, Kubernetes, alerting). Day 5: Theme: Great Expectations optimization and certification (best practices, audits, reporting). The Great Expectations 2026 program runs over 5 days, delivered on site.
How is Great Expectations 2026 training assessed?+
Assessment relies on daily quizzes on Great Expectations concepts, final project with complete pipeline and documentation and oral defense of deliverables at the end of the training. Learni issues a completion certificate together with the individual assessment report at the end of the Great Expectations 2026 program, which an L&D team can file as evidence.
How much does Great Expectations 2026 training cost per participant?+
Great Expectations 2026 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 Great Expectations 2026 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 Great Expectations 2026 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 Great Expectations 2026 training?+
Confirmed mastery of Python, data pipelines, Git, and cloud environments. Prior experience with complex data projects required.
Is a certificate issued after Great Expectations 2026 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 Great Expectations 2026 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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