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 advanced LangGraph concepts for complex agent workflows
- Develop professional skills in designing scalable AI agents
- Design LangGraph architectures integrated with enterprise APIs
- Implement certifying solutions with monitoring and security
- Optimize agent performance for real-world production use cases
- Deploy robust LangGraph systems within the enterprise
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 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 1Theme: Advanced LangGraph Foundations for APIs (tools, methods, deliverables)
Participants explore the LangGraph architecture applied to API development. They analyze concrete cases of autonomous agents, use tools like LangSmith for debugging, and produce an initial multi-agent workflow connected to REST endpoints. Practical exercises reinforce understanding of state cycles and checkpoints.
Module 2Theme: LangGraph Integration with OpenAPI and Swagger (tools, methods, deliverables)
This day focuses on documenting and exposing LangGraph agents via OpenAPI specifications. Learners create Swagger schemas, test integrations with Postman, and deliver a documented API enabling orchestration of complex agents in a professional context.
Module 3Theme: Managing Webhooks and Events in LangGraph (tools, methods, deliverables)
Trainees implement webhooks to trigger LangGraph flows in real time. They configure notification systems, handle asynchronous errors, and deliver a prototype reactive application integrating external events into their AI agents.
Module 4Theme: Advanced Deployment and Optimization of LangGraph in the Enterprise (tools, methods, deliverables)
The final day focuses on going into production. Participants deploy LangGraph agents on cloud infrastructures, measure performance with key metrics, and finalize a complete deliverable including tests, monitoring, and documentation for a certifying implementation.
Evaluation method
- Interactive quizzes at the end of each day
- Final project evaluated by peers and the trainer
- Self-assessment of acquired skills
Learning method
- Guided practical exercises on real cases
- Collaborative workshops in small groups
- Continuous feedback from the expert trainer
- Reusable resources and templates provided
Methods, materials and delivery
The Training LangGraph - Designing High-Performance 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 - Designing High-Performance 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 - Designing High-Performance 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.
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 - Designing High-Performance AI Agents training cost?+
The individual price is $4,620 (USD). A detailed quote is sent within one business day.
How long is the Training LangGraph - Designing High-Performance AI Agents training?+
The training lasts 4 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?+
Proficiency in Python, experience with LangChain or similar frameworks, knowledge of REST APIs and vector databases.
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
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