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 LangChain architectures for complex professional solutions.
- Develop high-performing multi-tool AI agents tailored to business needs.
- Implement robust LangGraph workflows with continuous evaluation and optimization.
- Integrate external tools and vector databases into certifying projects.
- Optimize AI application performance for concrete productivity gains.
- Design secure and scalable deployment strategies in a professional context.
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: LangChain 2026 - Advanced architecture of chains and models (LangChain, LCEL, tests)
Participants explore expert foundations of LangChain 2026 with LCEL to build dynamic chains. They analyze real business cases, perform prompt refactoring exercises and produce a deliverable of tested modular architecture. Tools like LangSmith help measure model reliability in real conditions.
Module 2Theme: LangChain 2026 - Creating intelligent agents with tools (LangChain, LangGraph, APIs)
This day focuses on designing autonomous agents using LangChain 2026 and LangGraph. Learners integrate external tools via APIs, run business simulations and deliver a functional agent with reasoning loop. Practical exercises include error handling and performance monitoring.
Module 3Theme: LangChain 2026 - Integration of vector databases and RAG (LangChain, Chroma, Pinecone)
Focus on advanced RAG systems with LangChain 2026. Professionals configure vector databases, optimize embeddings and test complete pipelines on business data. Real business cases result in an evaluated RAG deliverable for precision and latency, integrating expert chunking strategies.
Module 4Theme: LangChain 2026 - Evaluation and optimization of workflows (LangSmith, metrics)
Experts learn to rigorously evaluate LangChain 2026 agents with professional metrics. They conduct performance audits, adjust prompts and produce optimization reports. Exercises include analysis of real traces and creation of dashboards for continuous enterprise monitoring.
Module 5Theme: LangChain 2026 - Deployment and production rollout (LangChain, Docker, cloud)
Final day dedicated to secure deployment of LangChain 2026 solutions. Participants containerize their agents, integrate cloud scalability and validate a final certifying project. Deliverables include complete documentation and a demo in real conditions for a professional-ready application.
Evaluation method
- Practical projects evaluated each day
- Final audit of a deployed LangChain agent
- Quiz to validate expert skills
Learning method
- Guided exercises on real business cases
- Collaborative workshops for agent design
- Personalized feedback from the expert trainer
- Reusable resources and templates
Methods, materials and delivery
The Training LangChain 2026 - Deploy Expert 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 LangChain 2026 - Deploy Expert 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 LangChain 2026 - Deploy Expert 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 LangChain 2026 - Deploy Expert AI Agents training cost?+
The individual price is $5,775 (USD). A detailed quote is sent within one business day.
How long is the Training LangChain 2026 - Deploy Expert AI Agents training?+
The training lasts 5 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?+
Advanced mastery of Python, concrete experience with LLMs, OpenAI APIs and agent architectures, solid knowledge in machine learning and cloud deployment.
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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