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.
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
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.
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, 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 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
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
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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.
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.
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.
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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