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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 - Automating Hotel Customer Services 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 - Automating Hotel Customer Services 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 - Automating Hotel Customer Services 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.
Discover the basics of AutoGen through guided installation in your remote environment, configure your first conversational agents to simulate hotel customer interactions, perform practical exercises on concrete cases like responding to booking requests, generate simple reports with integrated tools, and validate your learning with a deliverable: a basic operational agent by end of day.
Dive into AutoGen group chats to orchestrate collaborative agents, apply them to restaurant scenarios like personalized menu recommendations, test real-time interactions with open-source LLMs, analyze workflows via integrated dashboards, practice on real customer datasets, and produce a multi-agent prototype optimizing tourism satisfaction.
Integrate custom functions into AutoGen for tourism-specific tasks, such as predictive analysis of customer arrivals, implement persistent memory for contextual conversations in hospitality, experiment with external APIs to enrich agents, solve practical complaint management cases in restaurants, and deploy a memory agent with live performance evaluation.
Learn to containerize your AutoGen agents with Docker for professional scalability, integrate them with existing hotel systems via secure APIs, simulate production deployments for 24/7 customer services, test robustness on tourism activity peaks, collaborate in groups on a complete restaurant-hospitality workflow, and generate a certified deployment plan.
Carry out an integrative project with AutoGen: a multi-agent system managing bookings, personalization, and customer feedback in hospitality, optimize performance via LLM tuning, present your solution remotely with live demo, receive expert feedback for refinements, and obtain a professional portfolio with source code and business impact report for the tourism enterprise.
Target audience
Hotel managers, restaurant managers, travel agents, tourism professionals seeking to upskill in AI to optimize their daily operations
Prerequisites
Basic computer skills, elementary Python knowledge, familiarity with office digital tools
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