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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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Artificial Intelligence training in Mesa in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Explore the evolving role of artificial intelligence in crafting tailored educational journeys, with projections for groundbreaking advancements by April 2026.
Discover top hospitality management training options for hotel professionals targeting April 2026. Explore trends, key skills, and programs to boost careers in a recovering industry.
Explore Learni's cutting-edge data visualization courses launching in April 2026, featuring AI-driven tools, VR simulations, and real-world projects for professionals.
The Training Replicate 2026 - Deploying Generative AIs in Production 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 Replicate 2026 - Deploying Generative AIs in Production 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 Replicate 2026 - Deploying Generative AIs in Production 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 the Replicate 2026 environment, obtaining secure API keys, exploring the playground to test generative models like Stable Diffusion or Llama, performing simple predictions in Python with HTTP requests, practical exercises on text and image generation, creating a first automated script for business cases, validating results with quality metrics and code review by the trainer for immediate implementation.
Developing applications connected to Replicate 2026 via webhooks for asynchronous responses, integration into Node.js or FastAPI backends, setting up fine-tuning on custom datasets to adapt AI models to business needs, managing queues and automatic scaling, practical workshops on intelligent chatbots and multimodal generation, optimizing prompts for precise results, producing a functional prototype with performance logging.
Configuring secure deployments with OAuth authentication and rate limiting on Replicate 2026, CI/CD integration via GitHub Actions for smooth updates, real-time monitoring with latency and error metrics using tools like Prometheus, cost optimization strategies to reduce AI bills by 50%, exercises on real enterprise cases with fault resilience, finalizing the red thread project for deployment, delivery of a custom dashboard and action plan for autonomy.
Target audience
AI Developers, data engineers and CTOs for building skills in enterprise AI
Prerequisites
Mastery of Python or Node.js, REST API experience, basics in machine learning
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