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
- 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.
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 1Advanced 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 2Autonomous 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 3Optimized 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 4Graph 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 5Professional 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.
Evaluation method
- Daily quizzes, peer-review of projects, final practical exam, Qualiopi certification.
Learning method
- 70% hands-on projects, collaborative workshops, real enterprise cases.
Methods, materials and delivery
The Training LangChain Expert - Scalable Autonomous 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 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
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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