Training Great Expectations 2026 - Validating Professional Data Pipelines

Very demanding course · Expertise required

$3,465

  • 3 days
  • Onsite
  • 10 people max.
Ref: FNT462
10 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 Great Expectations 2026, 80% of data analytics projects fail due to poor data quality, costing companies an average of 500k€ per major incident.

  • Unvalidated pipelines generate 40% more errors, causing 3-month delays on ML launches and 25% losses in business ROI.

  • In 2026, 65% of data engineers without validation expertise are passed over for senior promotions.

  • Every quarter without expert skills exposes your company to GDPR fines up to 4% of revenue and widens the competitive gap against data-driven leaders.

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

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

Great Expectations training objectives

  • Master Great Expectations 2026 to validate professional data pipelines
  • Develop custom Expectations tailored to the enterprise
  • Implement advanced checkpoints and certifying production monitoring
  • Design interactive Data Docs for data governance
  • Optimize profiling and automated tests in cloud environments
  • Deploy scalable validation suites for expert data skills
  • Integrate Great Expectations into enterprise CI/CD workflows

Program

Great Expectations curriculum: 3 modules over 3 days

Module 1 : Great Expectations 2026 Architecture: Configuring Advanced Checkpoints and Datastores (Cloud, Spark, Customization)

Dive into the expert installation of Great Expectations 2026 on distributed clusters, configure datastores for multiple sources like S3 or Snowflake, create parameterized checkpoints with run_time_model for dynamic validations, develop custom Expectations via advanced Python code, test on large enterprise datasets with practical exercises, generate initial data profiles and reports to identify hidden anomalies.

Module 2 : Great Expectations 2026 Validation: Implementing Test Suites and Professional Monitoring (CI/CD, Alerting)

Build comprehensive test suites with shared Expectation Suites for teams, integrate Great Expectations into Airflow or Kubeflow pipelines for automated executions, configure partial validations and run_time for streaming data, implement Slack/Teams alerting on critical failures, address concrete cases like PII data leaks or ML biases, optimize performance with batching and caching, produce production-ready deliverables with collective code review.

Module 3 : Great Expectations 2026 Deployment: Data Docs and Scalable Governance (Reporting, Enterprise Scalability)

Master Data Docs 2026 for interactive and searchable data documentation, deploy in server mode with enterprise authentication, scale on Kubernetes for daily terabytes, integrate advanced profiling with Expectation Metrics, analyze business impacts via custom dashboards, finalize the ongoing project on your real pipeline with a full audit, prepare for Qualiopi certification via multiple-choice quiz and presentation, leave with immediately deployable production skills.

How Great Expectations skills are assessed

  • Expert multiple-choice quiz to validate learning outcomes at the end of the training
  • Continuous assessment through advanced practical exercises
  • Presentation of the Great Expectations ongoing project to the trainer

How the Great Expectations course is taught

  • Courses led by an active expert Great Expectations trainer
  • Practical exercises on real, large-scale enterprise pipelines
  • Progressive ongoing project on your professional data
  • Complete course materials and source code provided to each participant

Great Expectations training: access and practical arrangements

The Training Great Expectations 2026 - Validating Professional 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 Great Expectations 2026 - Validating Professional 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 Great Expectations 2026 - Validating Professional 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 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 cloud, spark, customization, CI, CD and alerting. Those tools come from the Great Expectations 2026 program itself, delivered on site over 3 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 2026 to validate professional data pipelines, develop custom Expectations tailored to the enterprise and implement advanced checkpoints and certifying production monitoring. 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: Great Expectations 2026 Architecture: Configuring Advanced Checkpoints and Datastores (Cloud, Spark, Customization). Day 2: Great Expectations 2026 Validation: Implementing Test Suites and Professional Monitoring (CI/CD, Alerting). Day 3: Great Expectations 2026 Deployment: Data Docs and Scalable Governance (Reporting, Enterprise Scalability). The Great Expectations 2026 program runs over 3 days, delivered on site.
How is Great Expectations 2026 training assessed?+
Assessment relies on expert multiple-choice quiz to validate learning outcomes at the end of the training, continuous assessment through advanced practical exercises and presentation of the Great Expectations ongoing project to the trainer. 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 $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 Great Expectations 2026 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 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?+
Advanced proficiency in Python, pandas/Spark, ETL/ELT pipelines, and complex SQL.
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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