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Advanced LangChain Training - Develop Complex AI Agents

Ref: UWZ857
10 people max.
$6,600 HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$300/day onsite · +$540 with certification exam
5 days
Remote

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Learning objectives

  • Design complex multi-step chains with LangChain
  • Develop autonomous and reactive intelligent agents
  • Implement advanced RAG for precise augmented search
  • Optimize performance and costs of LLM pipelines
  • Integrate external tools and persistent memories
  • Deploy scalable applications in production
  • Evaluate and debug AI workflows in real-time

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 advanced training, your LangChain projects risk failure: 60% of basic LLM pipelines fail in production due to lack of optimization, losing 20h/week in manual debugging.

  • The competition advances with autonomous agents, while you struggle against latencies and exorbitant costs (up to 5x higher).

  • Avoid project delays (average 3 months), client losses due to imprecise responses, and the 15k€/year salary gap for LangChain experts.

  • Invest now to dominate generative AI.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced Chains: Custom Tools, Parsing, Routing (LCEL)

Dive into LCEL to chain models, prompts, and dynamic parsers, build conditional chains with exercises on real datasets, test intelligent routings for multi-model flows, produce functional deliverables ready to integrate, gain fluency to scale your AI apps from day one.

Module 2Agents and Tools: ReAct, Planning, Custom Integrations

Create autonomous agents via ReAct and hierarchical planners, integrate custom Python tools and third-party APIs, simulate real cases like virtual assistants, debug interactions live, generate collaborative multi-agent systems, feel the power of proactive AI that boosts your productivity.

Module 3RAG and Memory: Embeddings, Retrieval, Advanced Vector Stores

Master RAG with Pinecone and FAISS for precise searches, implement persistent conversational memories, optimize hybrid embeddings on massive documents, practice semantic extractions via enterprise exercises, deliver robust RAG pipelines, transform your data into competitive AI assets.

Module 4Evaluation and Optimization: Tracing, Caching, Fine-Tuning

Use LangSmith to trace and evaluate chains in depth, apply caching and batching to reduce costs by 70%, test A/B on LLM metrics, optimize via advanced prompts and grounding, analyze real logs for rapid iterations, achieve pro-level performance that impresses in production.

Module 5Deployment and Real Cases: FastAPI, Docker, Monitoring

Deploy via FastAPI and Docker in the cloud, integrate monitoring with LangSmith, simulate end-to-end projects like enterprise chatbots, secure LLM APIs, finalize portfolio with deployed source code, leave with complete expertise to lead your innovative AI initiatives.

Evaluation method

  • Daily interactive quizzes
  • Final project on real case deployed
  • Live pair-programming feedback

Learning method

  • Intensive practice 80% of the time
  • Exercises on open-source datasets
  • Concrete enterprise use cases

Methods, materials and delivery

The Advanced LangChain Training - Develop Complex 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 Advanced LangChain Training - Develop Complex 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 Advanced LangChain Training - Develop Complex 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 eligible for corporate training budgets and employer-funded plans.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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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