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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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The Training AutoGen - Orchestrating High-Performing Multi-Agent AI Agents training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training AutoGen - Orchestrating High-Performing Multi-Agent AI Agents training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training AutoGen - Orchestrating High-Performing Multi-Agent AI Agents training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Quick installation of AutoGen in a dedicated conda environment, integration of advanced LLM models like GPT-4o or Mistral via secure APIs, creation of customized agents with defined roles and custom tools for business analytics tasks, practical exercises on conversational agents solving concrete enterprise cases like customer data analysis, interactive debugging of execution flows, production of a single-agent prototype tested live with trainer feedback for immediate skill building.
Design of collaborative multi-agent systems via group chat manager, implementation of dynamic workflows with human reflection and external tools like databases or third-party APIs, optimization of coordination loops to reduce latency by 50% on real cases, exercises on enterprise scenarios such as automated research or intelligent report generation, robustness tests with error handling and monitoring, final deployment on cloud with Docker for a scalable application, deliverable a production-ready certifying red thread project.
Target audience
AI developers, data scientists, ML engineers aiming to upskill in multi-agents
Prerequisites
Advanced Python proficiency, LLMs APIs (OpenAI, HuggingFace), asynchronous programming
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