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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Training LangGraph 2026 - Orchestrating Scientific AI Graphs
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master LangGraph 2026 to design stateful graphs in professional research
- Develop certified skills in AI agent orchestration for the enterprise
- Implement complex workflows integrating math and physics via LangGraph training
- Optimize scientific simulations with advanced graphical tools
- Build autonomous applications to accelerate research projects
- Acquire transferable expertise in certified Qualiopi R&D teams
Our social commitment
A school kit donated to a child for every training
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
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.
Don't let this gap widen
Why this program matters
Without mastery of LangGraph 2026, 70% of scientific research projects stall in the prototype phase according to MIT studies, resulting in average delays of 6 months and estimated financial losses of 150k€ per R&D team.
Companies lose a critical competitive edge against competitors using advanced AI graphs, with 40% of data scientists reporting inefficiency in multi-agent workflows.
Your career risks obsolescence: blocked promotions and forced retraining in a market where 85% of research positions require AI orchestration skills.
Invest now to turn these risks into measurable accelerations.
Program
Module 1LangGraph 2026 Fundamentals: Stateful Graph and Node Architecture (Python, LangChain)
Discover the advanced basics of LangGraph 2026 through practical exercises on building nodes and edges, integrate persistent states to model complex scientific systems, use tools like NetworkX to visualize flows, build a first graph simulating chemical reactions, produce debugged and tested deliverables in groups, apply concrete physics research cases to anchor professional skills.
Module 2Advanced LangGraph 2026: Multi-Actor Agents and Conditional Loops (LLMs, Math Tools)
Dive into collaborative agents with LangGraph 2026, configure dynamic loops for iterative simulations in quantum chemistry, integrate LLMs like GPT for probabilistic inference, develop routing strategies based on mathematical models, test real scientific research scenarios via hands-on exercises, generate automated reports and interactive visualizations, optimize performance for certified enterprise projects.
Module 3Expert LangGraph 2026: Deployment and Scaling in Research (Docker, Cloud, Monitoring)
Master the deployment of LangGraph 2026 graphs in production, containerize with Docker for scalable R&D environments, integrate monitoring tools like LangSmith to trace scientific executions, scale massive workflows simulating physical experiments, complete a capstone project on advanced mathematical modeling, produce deployable pipelines and analytical dashboards, consolidate skills with personalized coaching for immediate enterprise application.
Evaluation method
- Daily interactive quizzes on LangGraph 2026 concepts
- Final project: deployed and presented scientific AI graph
- Qualiopi certificate issued upon validated competencies
Learning method
- 100% hands-on with real science exercises
- Progressive method: theory, code, real-time debugging
- Case studies from physics-chemistry-maths research
- Continuous feedback from certified expert trainers
Methods, materials and delivery
The Training LangGraph 2026 - Orchestrating Scientific AI Graphs 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 Scientific AI Graphs 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 Scientific AI Graphs 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.
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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FAQ
Frequently asked questions
How much does the Training LangGraph 2026 - Orchestrating Scientific AI Graphs training cost?+
The price is $3,675 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training LangGraph 2026 - Orchestrating Scientific AI Graphs training?+
The training lasts 3 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Intermediate mastery of Python, knowledge of LangChain and LLMs, experience in scientific data modeling
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote
This training across cities
Available on-site and remotely. Pick your city to see the local training center.
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