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.
Training LangChain Expert - Scalable Autonomous AI Agents
Very demanding course · Expertise required
Trusted by — schools, companies and industrial groups
41,113 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.
LangChain Expert training objectives
- Design complex LLM chains with LCEL and reactive agents.
- Integrate custom tools and persistent memory for autonomy.
- Optimize pipeline performance via RAG and hybrid fine-tuning.
- Deploy scalable applications on cloud with advanced monitoring.
- Debug multi-agent flows and analyze traces for rapid iterations.
- Master LangGraph for dynamic graph-based workflows.
- Produce production-ready prototypes in 5 days.
Program
LangChain Expert curriculum: 5 modules over 5 days
Module 1 : Advanced Chains: LCEL, prompt engineering (LangChain core, callbacks).
Dive into LCEL to compose modular chains, test dynamic prompts on real datasets, implement callbacks for real-time logging, complete exercises on structured JSON parsing, build your first reactive agent with basic tools, gain fluency to scale your AI prototypes from day 1.
Module 2 : Autonomous Agents: tools, memory (RetrievalQA, conversational agents).
Build agents with custom tools via Python functions, integrate FAISS vector memory for long contexts, simulate real client cases like e-commerce chatbots, debug multi-turn interactions, generate functional deliverables ready for A/B testing, feel the power of agents that learn on their own.
Module 3 : Optimized RAG: embeddings, indexing (chromadb, hybrid search).
Master advanced RAG with HuggingFace embeddings, index massive documents on ChromaDB, optimize multi-modal retrieval, test on enterprise datasets, measure precision via ROUGE/BLEU, produce hybrid search+LLM pipelines, transform your data into irresistible competitive advantages.
Module 4 : Graph Workflows: LangGraph, multi-agents (state management, supervision).
Design conditional LangGraph graphs for complex decisions, orchestrate supervised multi-agent teams, manage persistent states with Redis, simulate production scenarios like financial analysis, debug with LangSmith traces, deploy interactive demos, accelerate your AI innovations by 3x.
Module 5 : Professional Deployment: scaling, monitoring (Docker, LangServe, observability).
Containerize LangChain apps via Docker, expose FastAPI LangServe APIs, scale on AWS/GCP autoscaling, integrate Prometheus/Grafana monitoring, test 1000 req/s loads, finalize your personal capstone project, leave certified with production-ready code and deployment roadmap.
How LangChain Expert skills are assessed
- Daily quizzes, peer-review of projects, final practical exam, Qualiopi certification.
How the LangChain Expert course is taught
- 70% hands-on projects, collaborative workshops, real enterprise cases.
LangChain Expert training: access and practical arrangements
The Training LangChain Expert - Scalable Autonomous 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 Expert - Scalable Autonomous 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 Expert - Scalable Autonomous 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
How Learni guarantees the quality of your LangChain Expert training
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.
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
FAQ
LangChain Expert: frequently asked questions
Which tools are used in LangChain Expert training?+
Hands-on work runs on langChain core, callbacks, retrievalQA, conversational agents, chromadb and hybrid search. Those tools come from the LangChain Expert program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after LangChain Expert training?+
They can design complex LLM chains with LCEL and reactive agents, integrate custom tools and persistent memory for autonomy and optimize pipeline performance via RAG and hybrid fine-tuning. Those are the stated objectives of the LangChain Expert program at Expert level, checked by the end-of-session assessment.
What does the LangChain Expert program cover, day by day?+
Day 1: Advanced Chains: LCEL, prompt engineering (LangChain core, callbacks). Day 2: Autonomous Agents: tools, memory (RetrievalQA, conversational agents). Day 3: Optimized RAG: embeddings, indexing (chromadb, hybrid search). Day 4: Graph Workflows: LangGraph, multi-agents (state management, supervision). Day 5: Professional Deployment: scaling, monitoring (Docker, LangServe, observability). The LangChain Expert program runs over 5 days, delivered on site.
How is LangChain Expert training assessed?+
Assessment relies on daily quizzes, peer-review of projects, final practical exam, Qualiopi certification. Learni issues a completion certificate together with the individual assessment report at the end of the LangChain Expert program, which an L&D team can file as evidence.
How much does LangChain Expert training cost per participant?+
LangChain Expert training costs $7,875 per participant. For an in-company team, the flat rate starts at $14,175 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 LangChain Expert training take?+
5 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 LangChain Expert 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 LangChain Expert training?+
Advanced Python mastery, LLM experience (OpenAI, HuggingFace), REST APIs, vector databases (Pinecone, FAISS).
Is a certificate issued after LangChain Expert 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.
Does Learni provide the equipment for LangChain Expert training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
Your professional training, anywhere
Let's build your LangChain Expert learning path.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
Reply within 24h · Vetted experts · USD invoicing · W-9 available
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