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.
Describe your need, get a tailored program and a pre-filled quote in 3 min. A 100% free call with an advisor.
1 seat held for the next session
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.

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.
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
Without mastery of AutoGen, AI teams lose 50% of their time on manual orchestration of complex tasks, with development costs multiplied by 3 on average according to Gartner.
Companies without multi-agent systems see 40% of their AI projects fail due to lack of automated collaboration, resulting in 6-month delays and losses of 200k€ per incident.
In 2025, 65% of recruiters reject AI profiles lacking expertise in frameworks like AutoGen, widening the competitive gap.
Every quarter without these skills exposes your company to talent leaks and rapid technological obsolescence.
Expert installation of AutoGen in an optimized Python environment, configuration of LLMs such as GPT-4 or Llama via secure APIs, creation of individual agents with defined roles and custom tools, initial asynchronous workflows on real data analysis cases, practical exercises to test agent-human interactions, production of a functional agent prototype with detailed logging and code review by the trainer.
Deployment of agent groups in dynamic conversations via GroupChatManager, definition of hierarchies and specialized roles for distributed tasks, integration of external tools such as code execution or retrieval augmentation, simulation of enterprise scenarios like automated research or report generation, exercises on multi-step problem solving, development of a deliverable collaborative workflow with performance metrics and advanced debugging.
Optimization techniques for high-load agents with caching and parallelism, implementation of monitoring via LangSmith or custom dashboards, deployment on AWS or Azure cloud with Docker containers, concrete enterprise cases such as R&D automation or intelligent customer support, completion of the capstone multi-agent project, robustness testing in real conditions, maintenance plan and professional documentation for team integration.
The Training AutoGen - Orchestrating High-Performing Multi-Agent AI Systems 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.
For the smooth delivery of the Training AutoGen - Orchestrating High-Performing Multi-Agent AI Systems program, the following equipment is required:
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.
Assessment of skills acquired during the Training AutoGen - Orchestrating High-Performing Multi-Agent AI Systems program is performed through:
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.
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.
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.
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
Generative AI & LLMsIndustry-certified
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Generative AI & LLMsIndustry-certified
AI agents & RAGIndustry-certified
AI agents & RAGIndustry-certified
AI agents & RAGIndustry-certified
AI agents & RAGIndustry-certified
AI agents & RAGIndustry-certified
AI agents & RAGIndustry-certified
Generative AI & LLMsIndustry-certified
Generative AI & LLMsIndustry-certified
Generative AI & LLMsIndustry-certified
Generative AI & LLMsIndustry-certified
Generative AI & LLMsIndustry-certified
Generative AI & LLMsIndustry-certified
Machine learningIndustry-certified
Machine learningIndustry-certified
Machine learningIndustry-certified
Machine learningIndustry-certified
Machine learningIndustry-certified
Machine learningIndustry-certified
Automation & workflowsIndustry-certified
Automation & workflowsIndustry-certified
Automation & workflowsIndustry-certified
Automation & workflowsIndustry-certified
Automation & workflowsIndustry-certified
Automation & workflowsIndustry-certifiedAvailable on-site and remotely. Pick your city to see the local training center.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.