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LangChain Expert Training - Deploy Scalable AI Apps

Ref: WKP887
10 people max.
$5,280 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
4 days
Remote

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Learning objectives

  • Build complex chains with LCEL and custom tools
  • Develop intelligent and reactive autonomous agents
  • Implement advanced RAG for precise and contextualized responses
  • Optimize memory and callbacks for scalable performance
  • Deploy LangChain applications in cloud production
  • Debug and monitor AI pipelines 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 expert mastery of LangChain, 70% of AI projects fail in the scaling phase according to Gartner, multiplying development costs by 3 and delays by 2.

  • Your pipelines remain slow, imprecise, exposed to costly hallucinations in production – imagine losing 40% ROI on a faulty client chatbot.

  • Competitors chaining agents and RAG capture 25% more market share.

  • Risk of developer burnout from time-consuming manual hacks, and rapid obsolescence against LLM updates.

  • Invest 28 hours to transform these losses into exponential gains: x5 productivity, robust apps, affirmed AI leadership.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced LangChain Chains: LCEL, Parsers and Tools (Practical Exercises)

Dive into LCEL to assemble fluid chains, handle JSON and Pydantic parsers for structured outputs, integrate ready-to-use tools like Wikipedia or calculators, complete exercises on real Q&A cases, produce your first production-ready functional pipelines, and test live with LLMs like GPT-4.

Module 2LangChain Agents: Creation, Custom Tools and Reasoning (Agent Deliverables)

Create ultra-performant ReAct and OpenAI Functions agents, develop custom tools via @tool for web scraping or data analysis, simulate multi-agent collaborative scenarios, refine reasoning with concrete task automation examples, generate deployable agents ready for immediate use, and measure their effectiveness in real conditions.

Module 3LangChain RAG and Memory: Optimized Retrieval, Embeddings (Case Studies)

Master RAG with vector stores like FAISS or Pinecone, integrate advanced embeddings for precise semantic retrieval, manage conversational and episodic memory for persistent interactions, apply to real business datasets like customer support, produce custom RAG chains, and evaluate accuracy with metrics like ROUGE.

Module 4LangChain Deployment and Scaling: Monitoring, Best Practices (Final Project)

Deploy on FastAPI, Streamlit or LangServe for scalable apps, implement callbacks for logging and tracing with LangSmith, optimize for production with async and batching, debug common errors via observability, complete a full-stack AI agent capstone project, and leave with a cloud-deployed portfolio.

Evaluation method

  • Daily interactive quizzes, Practical projects per day, Final evaluation on real business case with personalized feedback.

Learning method

  • 70% hands-on real code, 30% applied theory, Exercises with open-source datasets and live APIs.

Methods, materials and delivery

The LangChain Expert Training - Deploy Scalable AI Apps 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 LangChain Expert Training - Deploy Scalable AI Apps 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 LangChain Expert Training - Deploy Scalable AI Apps 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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