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Training Zod - Efficiently Validate TS Data Schemas

Ref: WUE897
10 people max.
5500€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master the fundamentals of Zod for validating data schemas in certified professional training
  • Develop skills in creating robust schemas adapted to enterprise data pipelines
  • Implement Zod in ETL workflows to secure data flows for beginners
  • Configure advanced validations with Zod for Apache Spark and Kafka in a professional context
  • Optimize Zod validation performance in Airflow for certified data engineering skills
  • Design Zod unit tests integrating real enterprise data cases

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Zod Fundamentals: Installation and First Schemas (TypeScript, Node.js, JSON Validation)

Discover Zod through quick Node.js installation, create your first schemas to validate simple JSON objects, practice exercises on primitive types like strings and numbers, integrate automatic transformations, test validation errors in real-time, produce a first deliverable Zod script validating API input data, apply to a basic data engineering flow case.

Module 2Complex Zod Schemas: Objects, Unions, and Intersections (ETL Pipelines, Structured Datasets)

Build advanced Zod schemas for nested objects and arrays, explore unions for alternative types, master intersections for multiple validations, integrate Zod into ETL pipelines through practical exercises, simulate real data ingestion, generate customized error reports, develop a reusable module validating ETL datasets, apply to beginner data engineering scenarios with live feedback.

Module 3Zod with Apache Spark: DataFrame Validation and Transformations (Spark SQL, PySpark Integration)

Integrate Zod into Apache Spark to validate DataFrames before processing, configure Zod parsers for Spark JSON, practice safe transformations with refine and superRefine, test on simulated large datasets, optimize performance via pre-validations, produce functional Spark-Zod pipelines, analyze data engineering error cases, generate deliverable scripts integrating Zod into Spark for robust workflows.

Module 4Zod with Kafka & Airflow: Streams and Orchestration (Kafka Topics, Secure Airflow DAGs)

Apply Zod to Kafka for real-time stream message validation, configure Zod serializers in producers/consumers, orchestrate validations in Airflow DAGs, practice exercises on Kafka JSON topics, handle idempotent errors, integrate monitoring via Zod logs, develop a complete Airflow-Zod-Kafka DAG, test end-to-end on simulated clusters, produce reusable data engineering templates.

Module 5Advanced Zod Projects: Optimization and Deployment (CI/CD, Production Monitoring)

Finalize with capstone projects integrating Zod into complete Spark-Kafka-Airflow ETLs, optimize schemas for scalability, implement CI/CD with Zod Jest tests, deploy to production via Docker, monitor via Prometheus, review data engineering best practices, produce a personal certifying portfolio, receive expert feedback, consolidate professional skills for real enterprise missions.

Evaluation method

  • Daily interactive quizzes on remote platforms to validate Zod knowledge
  • Final ETL project with Zod, Spark, and Kafka graded by certified experts
  • Qualiopi certificate issued after 80% success in practical exercises

Learning method

  • Active pedagogy with 70% hands-on practice on real data engineering cases
  • Hands-on exercises remotely via collaborative VS Code Live Share
  • Replay videos and downloadable Zod resources for self-review
  • Coach support for 6 months post-training for enterprise implementation

Methods, materials and delivery

The Training Zod - Efficiently Validate TS Data Schemas program is delivered onsite or remote (blended-learning, e-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 Zod - Efficiently Validate TS Data Schemas 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 Zod - Efficiently Validate TS Data Schemas 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

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

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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