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 custom multi-step chains with LangChain
- Develop intelligent agents integrating tools and reasoning
- Implement advanced RAG for massive knowledge bases
- Optimize performance and costs of LLM pipelines
- Manage memory and state for conversational applications
- Deploy scalable LangChain applications in production
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 advanced LangChain, 70% of LLM projects fail in the scaling phase according to Forrester, wasting 40k€ on average per failed initiative.
Your competitors deploy autonomous agents boosting productivity x4, capturing 60% generative AI market share in 2024.
Avoid endless debugging delays, costly hallucinations at 25% error rate, and missed opportunities amid the RAG wave.
Will you lose your tech edge or invest 35h for x10 ROI in scalable AI innovation starting tomorrow?
Program
Module 1Advanced Chains: Customization and Parsing (LangChain, Pydantic)
Dive into complex chains, configure dynamic prompts with LCEL, integrate structured parsers to extract reliable JSON data, perform exercises on multi-model flows, test real-world document analysis cases, produce immediately reusable deliverables that boost your AI projects from day one.
Module 2Agents and Tools: Autonomous Reasoning (LangChain Agents, OpenAI Functions)
Create intelligent ReAct agents, integrate custom tools like external APIs or SQL databases, simulate complex decision scenarios, debug reasoning loops via detailed traces, apply to concrete business cases, generate production-ready agents that automate repetitive tasks in the blink of an eye.
Module 3RAG and Indexing: Augmented Retrieval (LangChain Retrieval, Vector Stores)
Master RetrievalQA chains, index massive corpora with FAISS or Pinecone, optimize embeddings for 95% precision, test hybrid search on real datasets, integrate grounding to prevent hallucinations, build complete RAG pipelines that transform your data into high-performing, reliable AI oracles.
Module 4Memory and State: Persistent Conversations (LangChain Memory, Redis)
Implement conversational memory buffers, manage multi-user sessions with Redis backend, customize summarizers for long histories, practice on enterprise chatbots, analyze coherence metrics, deploy stateful prototypes that retain users through ultra-personalized interactions.
Module 5Deployment and Optimization: Scalable Production (LangChain Serve, LangSmith)
Trace executions with LangSmith for real-time monitoring, optimize costs via caching and batching, deploy on FastAPI or Docker, test high loads with concrete final projects, measure ROI via benchmarks, leave with a deployment roadmap that propels your LangChain apps to market leadership.
Evaluation method
- Daily interactive quizzes, certified final project, 360° trainer feedback
Learning method
- 80% hands-on real-world exercises, 20% applied theory, individual mentoring
Methods, materials and delivery
The Training LangChain Advanced - Develop 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 Advanced - 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 Training LangChain Advanced - 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
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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