Training LangChain - Orchestrating LLMs for Advanced AI Agents

Very demanding course · Expertise required

$3,150

  • 2 days
  • Onsite
  • 10 people max.
Ref: EFL992
10 people max.
$3,150
In-company rate: from $5,723 for the whole teamExpertise rate: $1,575 per day, reflecting the difficulty level
On-site and certification exam on quote
2 days
Onsite

Don't let this gap widen

Why this program matters

  • Without LangChain mastery, enterprise AI projects fail 70% of the time due to ineffective orchestration, wasting thousands of euros on redundant development and time lost on unscalable LLMs.

  • Untrained teams spend 3 times more time debugging LLM chains, with inference costs multiplied by 5 in production.

  • In 2024, 82% of AI recruiters reject profiles without expertise in agents and RAG, blocking promotions and career shifts.

  • Every quarter without LangChain exposes your business to competitors that deploy intelligent automations 40% faster.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

41,111 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft
  • Atos

Every program built with a dedicated engineer

  • OpenAI
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  • Microsoft Dynamics 365
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  • Notion
  • AMD
  • Apple

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.

LangChain training objectives

  • Master advanced LangChain chains for professional AI workflows
  • Develop intelligent agents with memory and custom tools
  • Implement RAG and optimized retrieval for precise enterprise applications
  • Design scalable and secure pipelines with LangChain
  • Optimize LLM performance via LangChain for production-ready solutions
  • Deploy LangChain solutions integrated into enterprise ecosystems

Program

LangChain curriculum: 2 modules over 2 days

Module 1 : Advanced LangChain Chains: Complex Workflows with Parsers, Memory, and LLM Tools (OpenAI, HuggingFace, Prompt Engineering)

Dive into building sophisticated multi-step chains using LangChain modules to parse JSON responses, integrate persistent conversational memory via Redis or FAISS, and chain LLMs like GPT-4 with validation tools. Practical exercises on a real enterprise case involving analysis of large documents, creation of a functional first RAG pipeline with vector embeddings, iterative testing, and prompt optimization for improved accuracy. Deliverable: documented prototype chain ready for scaling.

Module 2 : Autonomous LangChain Agents: Developing Reasoning Agents with Tools and Deployment (ReAct, Streaming, Monitoring)

Create self-adaptive AI agents by implementing the ReAct pattern for reasoning and action, integrate custom tools like external APIs or SQL/NoSQL databases, manage decision loops with long-term memory and human-in-the-loop. Hands-on workshops on a complete agent for business automation such as intelligent customer support, performance evaluation via LangSmith, deployment on cloud with Docker and FastAPI for secure production. Deliverable: tested agent with reliability metrics, directly enhancing enterprise skills.

How LangChain skills are assessed

  • Expert multiple-choice quiz to validate learning outcomes at the end of the training
  • Continuous evaluation through exercises on agents and chains
  • Defense of the red thread project: deployable LangChain AI agent

How the LangChain course is taught

  • Courses led by an active LangChain expert trainer
  • Practical exercises on real enterprise AI cases
  • Red thread project: complete end-to-end agent
  • Detailed course materials and source code provided

LangChain training: access and practical arrangements

The Training LangChain - Orchestrating LLMs for Advanced 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 - Orchestrating LLMs for Advanced 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 - Orchestrating LLMs for Advanced 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 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.

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.

A child walking to school with a backpack
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
Enroll and offer a kit
FAQ

LangChain: frequently asked questions

Which tools are used in LangChain training?+
Hands-on work runs on openAI, huggingFace, prompt Engineering, reAct, streaming and monitoring. Those tools come from the LangChain program itself, delivered on site over 2 days, so participants practise on the stack they will use at work.
What can participants do after LangChain training?+
They can master advanced LangChain chains for professional AI workflows, develop intelligent agents with memory and custom tools and implement RAG and optimized retrieval for precise enterprise applications. Those are the stated objectives of the LangChain program at Expert level, checked by the end-of-session assessment.
What does the LangChain program cover, day by day?+
Day 1: Advanced LangChain Chains: Complex Workflows with Parsers, Memory, and LLM Tools (OpenAI, HuggingFace, Prompt Engineering). Day 2: Autonomous LangChain Agents: Developing Reasoning Agents with Tools and Deployment (ReAct, Streaming, Monitoring). The LangChain program runs over 2 days, delivered on site.
How is LangChain training assessed?+
Assessment relies on expert multiple-choice quiz to validate learning outcomes at the end of the training, continuous evaluation through exercises on agents and chains and defense of the red thread project: deployable LangChain AI agent. Learni issues a completion certificate together with the individual assessment report at the end of the LangChain program, which an L&D team can file as evidence.
How much does LangChain training cost per participant?+
LangChain training costs $3,150 per participant. For an in-company team, the flat rate starts at $5,723 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 training take?+
2 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 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 training?+
Advanced Python expertise, experience with LLM models like GPT-4 or Llama2, vector stores, and OpenAI APIs.
Is a certificate issued after LangChain 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 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 learning path.

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