Training Pydantic AI - Validating Data for Robust AI Agents

Very demanding course · Expertise required

$4,725

  • 3 days
  • Onsite
  • 10 people max.
Ref: VQP613
10 people max.
$4,725
In-company rate: from $8,558 for the whole teamExpertise rate: $1,575 per day, reflecting the difficulty level
On-site and certification exam on quote
3 days
Onsite

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, 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

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  • Equans
  • EDF
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  • Microsoft
  • Atos

Every program built with a dedicated engineer

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

Pydantic AI training objectives

  • Master Pydantic AI to design reliable validation models in agent-based systems.
  • Design complex schemas with dynamic fields and business constraints.
  • Integrate Pydantic AI with LangChain to secure autonomous agent workflows.
  • Audit and correct validation errors in real-time production environments.
  • Optimize serialization performance on large data volumes.
  • Deploy monitoring and structured logging pipelines around the models.

Program

Pydantic AI curriculum: 3 modules over 3 days

Module 1 : Pydantic AI for agents: schema modeling and advanced validation (Pydantic v2, testing, B2B use cases)

Participants discover expert Pydantic AI features, create models with computed fields and custom validators, complete exercises on real data from agent projects, and produce an initial deliverable of reusable schemas for input and output validation.

Module 2 : Integrating Pydantic AI into RAG workflows and autonomous agents (LangChain, error handling, logging)

The second day connects Pydantic AI models to existing LangChain chains, implements validation at every step of an autonomous agent, handles errors and structured exceptions, and generates a complete pipeline with integration tests and audit-ready code deliverables.

Module 3 : Optimizing and deploying Pydantic AI solutions in production (monitoring, scaling, observability)

The final day covers production rollout, measuring serialization performance, setting up validation dashboards, and integrating with monitoring tools. Each participant deploys their own pipeline and leaves with a documented deployment kit.

How Pydantic AI skills are assessed

  • Final MCQ on advanced validation concepts
  • Code review of the pipeline produced during the training
  • Oral presentation of the final project to the group

How the Pydantic AI course is taught

  • Creation of complex Pydantic AI models
  • Integration of validation into LangChain agents
  • Centralized error handling and structured logs
  • Deployment and monitoring in real environments

Pydantic AI training: access and practical arrangements

The Training Pydantic AI - Validating Data for Robust AI Agents 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 Pydantic AI - Validating Data for Robust AI Agents 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 Pydantic AI - Validating Data for Robust AI Agents 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 Pydantic AI 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

Pydantic AI: frequently asked questions

Which tools are used in Pydantic AI training?+
Hands-on work runs on pydantic v2, testing, b2B use cases, langChain, error handling and logging. Those tools come from the Pydantic AI program itself, delivered on site over 3 days, so participants practise on the stack they will use at work.
What can participants do after Pydantic AI training?+
They can master Pydantic AI to design reliable validation models in agent-based systems, design complex schemas with dynamic fields and business constraints and integrate Pydantic AI with LangChain to secure autonomous agent workflows. Those are the stated objectives of the Pydantic AI program at Expert level, checked by the end-of-session assessment.
What does the Pydantic AI program cover, day by day?+
Day 1: Pydantic AI for agents: schema modeling and advanced validation (Pydantic v2, testing, B2B use cases). Day 2: Integrating Pydantic AI into RAG workflows and autonomous agents (LangChain, error handling, logging). Day 3: Optimizing and deploying Pydantic AI solutions in production (monitoring, scaling, observability). The Pydantic AI program runs over 3 days, delivered on site.
How is Pydantic AI training assessed?+
Assessment relies on final MCQ on advanced validation concepts, code review of the pipeline produced during the training and oral presentation of the final project to the group. Learni issues a completion certificate together with the individual assessment report at the end of the Pydantic AI program, which an L&D team can file as evidence.
How much does Pydantic AI training cost per participant?+
Pydantic AI training costs $4,725 per participant. For an in-company team, the flat rate starts at $8,558 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 Pydantic AI 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 Pydantic AI 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 Pydantic AI training?+
Confirmed mastery of Python, hands-on experience with LangChain or autonomous agents, and practice with complex JSON schemas and advanced unit testing.
Is a certificate issued after Pydantic AI 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 Pydantic AI 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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