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
- Master custom LangChain chains with LCEL
- Develop intelligent agents integrating external tools
- Implement RAG for precise contextual responses
- Optimize AI pipeline performance in production
- Debug complex flows and analyze traces
- Deploy scalable LangChain applications
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.
Don't let this gap widen
Why this program matters
Without advanced LangChain, 70% of AI projects fail in the prototype phase (Gartner 2024), wasting 25h/week on inefficient manual chains, your basic agents succumb to automated competition, lose 40% productivity on poorly implemented RAG, data scientists stuck on scaling cost 50k€/year in delays, competitors deploy 3x faster autonomous assistants, risk obsolescence amid the LLM agent explosion by 2025.
Program
Module 1Day 1: Advanced LangChain Chains and LCEL (dynamic prompts, parsers)
Dive into LCEL to compose ultra-efficient modular pipelines, configure custom chains with retrieval and output parsers, perform hands-on exercises on adaptive dynamic prompts, test real integrations like intelligent chatbots, produce scalable functional deliverables, while mastering callbacks for live monitoring.
Module 2Day 2: LangChain Agents and External Tools (ReAct, custom tools)
Create autonomous agents with ReAct and custom tools, integrate external APIs like search engines or databases, simulate concrete cases of complex task automation, debug behaviors via detailed traces, develop collaborative exercises on multi-tool agents, generate powerful decision-making AI assistant prototypes.
Module 3Day 3: Advanced RAG and LangChain Memory (vector stores, embeddings)
Implement hybrid RAG with vector stores (FAISS, Pinecone), generate custom embeddings for massive documents, optimize multi-query retrieval, integrate persistent conversational memory, practice on real company datasets, build infallible RAG chatbots, test precision metrics for production-ready deliverables.
Module 4Day 4: LangChain Deployment and Optimization (streaming, scaling)
Deploy LangChain apps on cloud (LangServe, Docker), enable streaming and async for smooth UX, profile performance with LangSmith, secure sensitive flows, finalize full-stack agent capstone project, export deployable code, benefit from expert feedback for immediate excellence.
Evaluation method
- Daily interactive quizzes
- Evaluated capstone project
- Self-assessment of LangSmith traces
Learning method
- Intensive hands-on exercises
- Real business case studies
- Live collaborative debugging
Methods, materials and delivery
The Advanced LangChain Training - Develop 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 Advanced LangChain Training - Develop 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 Advanced LangChain Training - Develop 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.
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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FAQ
Frequently asked questions
How much does the Advanced LangChain Training - Develop Autonomous AI Agents training cost?+
The individual price is $4,620 (USD). A detailed quote is sent within one business day.
How long is the Advanced LangChain Training - Develop Autonomous AI Agents training?+
The training lasts 4 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Mastery of Python, experience with LLM APIs (OpenAI, Hugging Face), advanced prompting.
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
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