Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Together AI 2026 - Deploying Professional AI Models training are: Basic knowledge of Python and elementary AI concepts. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Together AI 2026 - Deploying Professional AI Models training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training Together AI 2026 - Deploying… | Learni

The story of Learni

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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Methods, approaches, and teaching resources

The Training Together AI 2026 - Deploying Professional AI Models 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.

Teaching resources provided

To ensure the quality of the Training Together AI 2026 - Deploying Professional AI Models training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and 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.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Together AI 2026 - Deploying Professional AI Models training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

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.

Training objectives

Master the fundamentals of Together AI 2026 for professional projects

Develop skills in deploying open-source AI models

Configure scalable inference environments in enterprise settings

Implement fine-tuning of models via the Together AI platform

Optimize costs and performance of certified AI APIs

Design collaborative AI pipelines for Qualiopi-certified teams

Training program

Module 1Together AI 2026 Fundamentals: Installation and Playground (API, Open-Source Models, Interactive Playground)

Immersive discovery of the Together AI 2026 platform, quick installation of the development environment using pip and the official CLI, exploration of the playground to test models like Llama or Mistral in real time, initial practical exercises on advanced prompts, creation of your first simple inference script, with personalized feedback from the trainer for immediate professional proficiency.

Module 2Together AI 2026 API: Integration and Chat Completions (REST Endpoints, Python SDK, Token Management)

Deep dive into Together AI 2026 REST APIs for seamless integrations, use of the Python SDK to generate performant chat completions, advanced management of tokens and long contexts, concrete exercises on business cases such as a virtual assistant, live debugging with integrated tools, development of your first functional AI bot ready for deployment.

Module 3Together AI 2026 Fine-Tuning: Model Customization (Datasets, Hyperparameters, Job Monitoring)

Fine-tuning on Together AI 2026 using your own datasets, configuration of optimal hyperparameters for customized models, launching and monitoring jobs via an intuitive dashboard, practical cases on text classification or image generation, GPU resource optimization to reduce costs, delivery of an exportable fine-tuned model for enterprise use with complete documentation.

Module 4Together AI 2026 Deployment: Scalability and Security (Serverless Inference, Monitoring, Cost Optimization)

Serverless deployment of AI applications via Together AI 2026, implementation of advanced monitoring for performance and costs, securing APIs with keys and rate limiting, exercises on horizontal scaling for high loads, integration into enterprise CI/CD pipelines, finalization of the ongoing project with a security audit and optimization plan, ready for certified production.