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Training LangGraph - Building Autonomous AI Agents

Course created on July 27, 2026Updated on October 5, 2026

On quote$2,310

2 days
Onsite
10 people max.

Request a quote See the program

Ref: CYY604

10 people max.

On quote$2,310

In-company rate: on quotefrom $4,190 for the whole team

On-site and certification exam on quote

2 days

Onsite

Don't let this gap widen

Why this program matters

Without mastering LangGraph, your AI projects risk infinite loops and systematic failures, leading to an estimated 40% productivity loss according to Gartner studies on non-stateful agents.
Companies face development costs multiplied by 3, with 70% of AI prototypes abandoned due to lack of robust workflows, exposing them to GDPR risks from mismanagement of sensitive data.
Your career stagnates amid rising demand for AI agent experts while competitors deploy scalable automations.
Invest now in these essential skills to secure your competitive advantage and avoid these costly pitfalls.

Trusted by — schools, companies and industrial groups

25,749 programs · 25 countries

Every program built with a dedicated engineer

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

Learning objectives

Master the basics of LangGraph to develop professional skills in AI agents
Build stateful graphs tailored to business needs in a certified training program
Implement nodes and edges to create efficient multi-agent workflows
Configure LangGraph tools with Python to optimize automated processes
Develop robust AI applications through practical exercises in a professional context
Acquire certified LangGraph skills to boost enterprise productivity

Program

Module 1LangGraph Fundamentals: Stateful Graphs, Nodes, and Edges with LangChain Tools (Python, Visual Diagrams)

Discover the key concepts of LangGraph through interactive presentations and practical Python environment installations. Explore stateful graphs to manage AI agent states, create your first simple nodes and edges with concrete examples, test basic flows live on business use cases, produce visual diagrams as deliverables to visualize workflows, and consolidate learning through guided exercises for immediate and applicable understanding.

Module 2LangGraph Applications: Multi-Agent Systems, Persistence, and Deployment (Project Exercises, Debugging)

Dive into building collaborative agents with LangGraph, integrate state persistence for long sessions via checkpointers, develop a complete multi-agent project on a realistic professional scenario, debug and optimize flows with integrated monitoring tools, deploy your graphs on compatible cloud platforms, generate performance reports as final deliverables, and conclude with personalized coaching to adapt LangGraph to your enterprise challenges.

Evaluation method

Interactive quiz on fundamental concepts and workflows
Completion of an evaluated practical multi-agent project
Qualiopi certified attestation delivered post-training

Learning method

Interactive pedagogical methods in live remote sessions
Hands-on practical exercises with real LangGraph code
Concrete case studies from innovative companies
Continuous support via Slack and video replay resources

Methods, materials and delivery

The Training LangGraph - Building Autonomous 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 LangGraph - Building Autonomous 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 LangGraph - Building Autonomous 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

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.

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

Frequently asked questions

Which tools are used in LangGraph training?+

Hands-on work runs on python, visual Diagrams, project Exercises and debugging. Those tools come from the LangGraph program itself, delivered on site over 2 days, so participants practise on the stack they will use at work.

What can participants do after LangGraph training?+

They can master the basics of LangGraph to develop professional skills in AI agents, build stateful graphs tailored to business needs in a certified training program and implement nodes and edges to create efficient multi-agent workflows. Those are the stated objectives of the LangGraph program at Beginner level, checked by the end-of-session assessment.

What does the LangGraph program cover, day by day?+

Day 1: LangGraph Fundamentals: Stateful Graphs, Nodes, and Edges with LangChain Tools (Python, Visual Diagrams). Day 2: LangGraph Applications: Multi-Agent Systems, Persistence, and Deployment (Project Exercises, Debugging). The LangGraph program runs over 2 days, delivered on site.

How is LangGraph training assessed?+

Assessment relies on interactive quiz on fundamental concepts and workflows, completion of an evaluated practical multi-agent project and qualiopi certified attestation delivered post-training. Learni issues a completion certificate together with the individual assessment report at the end of the LangGraph program, which an L&D team can file as evidence.

How much does LangGraph training cost per participant?+

LangGraph training is priced on quote. The amount depends on headcount, format and how far the syllabus is tailored to your team. A detailed quote is sent within one business day, and team pricing covers the whole group from the second participant.LangGraph training costs $2,310 per participant. For an in-company team, the flat rate starts at $4,190 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 LangGraph training take?+

2 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 LangGraph 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 LangGraph training?+

Basic Python skills, elementary knowledge of LangChain, and object-oriented programming.

Is a certificate issued after LangGraph 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.

Your professional training, anywhere