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Training LangGraph 2026 - Orchestrating Multi-Step AI Agents

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

On quote$4,620

4 days
Onsite
10 people max.

Request a quote See the program

Ref: RXP348

10 people max.

On quote$4,620

In-company rate: on quotefrom $7,865 for the whole team

On-site and certification exam on quote

4 days

Onsite

Don't let this gap widen

Why this program matters

Without LangGraph 2026 mastery, AI workflows lose 60% in efficiency, wasting 200 developer hours per project on manual routing.
Companies face 45% agent failures due to non-persistent states, costing 150k€/year in product delays.
In 2026, 82% of senior AI positions require advanced graphs, sidelining outdated profiles and blocking promotions.
Every quarter without LangGraph skills exposes teams to cutthroat competition, LLM incidents multiplied by 3, and AI ROI divided by 2.
Act to secure technical leadership.

Trusted by — schools, companies and industrial groups

25,750 programs · 25 countries

Every program built with a dedicated engineer

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

Learning objectives

Master LangGraph 2026 for professional certifying AI workflows
Develop stateful multi-agent graphs with state persistence
Implement dynamic routing and conditional tools in enterprise settings
Design advanced RAG systems integrated with LangGraph
Optimize and deploy scalable LangGraph applications in production
Acquire skills for autonomous and monitorable AI agents
Produce certifying deliverables that enhance the professional CV

Program

Module 1LangGraph Fundamentals: Stateful Graphs and Advanced Nodes (Python, LangChain, LLM Tools)

Install LangGraph 2026 in an expert environment, create your first stateful graph with custom nodes and persistent state management via checkpointers, configure conditional edges based on LLM outputs, complete practical exercises on enterprise cases like complex data analysis, test real-time flows with LangSmith for debugging, produce a documented workflow ready for production, transform ideas into robust AI architectures from day one.

Module 2Multi-Step LangGraph Agents: Routing and Dynamic Tools (Persistence, Interruptions)

Develop collaborative agents in LangGraph with human interruptions and custom tools, implement intelligent routing via LLM for adaptive decisions, integrate long-term memory for extended sessions, apply to professional scenarios like enterprise virtual assistants, conduct multi-agent simulations with automatically resolved conflicts, optimize performance via breakpoints and graph visualizations, generate tested deliverables demonstrating real scalability in business contexts.

Module 3Advanced LangGraph Integrations: RAG and Multi-Models (Vectors, External APIs)

Design hybrid RAG pipelines in LangGraph 2026 with vector embeddings and advanced retrievers, connect multi-model LLMs like GPT-4o and Llama3 via unified tools, manage hybrid text/image flows for enterprise applications, practice on concrete cases of sensitive document analysis, integrate third-party APIs for real actions like CRM or databases, validate with automated evaluations and precision metrics, create deployable prototypes boosting AI team productivity.

Module 4LangGraph Deployment and Optimization: Monitoring and Scalability (Docker, Cloud)

Deploy LangGraph graphs in production with Docker and cloud servers like AWS Lambda, configure monitoring via LangSmith and custom observability, optimize latency and costs for massive enterprise workloads, simulate high loads with multi-user stress tests, implement CI/CD for smooth updates, analyze advanced metrics like agent completion rates, finalize the certifying red thread project with a business impact report, master expert AI orchestration for technical leadership.

Evaluation method

Expert multiple-choice quiz to validate acquired LangGraph skills at the end of the training
Continuous evaluation through exercises and built graphs
Defense of the multi-agent red thread project in front of certified trainer

Learning method

Sessions led by active enterprise LangGraph experts
Practical exercises on real AI cases and professional datasets
Evolving red thread project over 4 days with personalized feedback
Complete course materials, source codes, and online resources

Methods, materials and delivery

The Training LangGraph 2026 - Orchestrating Multi-Step 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 2026 - Orchestrating Multi-Step 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 2026 - Orchestrating Multi-Step 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 2026 training?+

Hands-on work runs on python, langChain, LLM Tools, persistence, interruptions and vectors. Those tools come from the LangGraph 2026 program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.

What can participants do after LangGraph 2026 training?+

They can master LangGraph 2026 for professional certifying AI workflows, develop stateful multi-agent graphs with state persistence and implement dynamic routing and conditional tools in enterprise settings. Those are the stated objectives of the LangGraph 2026 program at Expert level, checked by the end-of-session assessment.

What does the LangGraph 2026 program cover, day by day?+

Day 1: LangGraph Fundamentals: Stateful Graphs and Advanced Nodes (Python, LangChain, LLM Tools). Day 2: Multi-Step LangGraph Agents: Routing and Dynamic Tools (Persistence, Interruptions). Day 3: Advanced LangGraph Integrations: RAG and Multi-Models (Vectors, External APIs). Day 4: LangGraph Deployment and Optimization: Monitoring and Scalability (Docker, Cloud). The LangGraph 2026 program runs over 4 days, delivered on site.

How is LangGraph 2026 training assessed?+

Assessment relies on expert multiple-choice quiz to validate acquired LangGraph skills at the end of the training, continuous evaluation through exercises and built graphs and defense of the multi-agent red thread project in front of certified trainer. Learni issues a completion certificate together with the individual assessment report at the end of the LangGraph 2026 program, which an L&D team can file as evidence.

How much does LangGraph 2026 training cost per participant?+

LangGraph 2026 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 2026 training costs $4,620 per participant. For an in-company team, the flat rate starts at $7,865 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 2026 training take?+

4 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 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 LangGraph 2026 training?+

Advanced Python proficiency, LangChain, LLMs, computational graphs, and vector APIs.

Is a certificate issued after LangGraph 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.

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