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 Devin 2026 - Automating Code with Autonomous AI training are: Mastery of Python or JavaScript, knowledge of APIs, and basics of machine learning. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Devin 2026 - Automating Code with Autonomous AI training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training Devin 2026 - Automating Code with… | 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 Devin 2026 - Automating Code with Autonomous AI 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 Devin 2026 - Automating Code with Autonomous AI 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 Devin 2026 - Automating Code with Autonomous AI 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 Devin 2026 to generate professional enterprise-quality code

Develop autonomous AI agents integrating Devin 2026 into dev workflows

Design advanced prompts to optimize Devin 2026 performance

Implement Devin 2026 integrations with Git, CI/CD, and collaborative tools

Deploy certifying projects based on Devin 2026 in secure production

Optimize AI skills to accelerate development cycles

Training program

Module 1Devin 2026 Fundamentals: Configuration and First Autonomous Agents (API, Prompts, Dev Environments)

Quick installation of Devin 2026 in a professional environment, hands-on with the intuitive interface to generate code from natural language specifications, practical exercises on creating complete web applications with just a few prompts, tests of automatic debugging with real-time feedback, development of a first custom AI agent applied to a concrete business case, production of functional deliverables ready for integration, with a focus on code security and traceability.

Module 2Advanced Devin 2026: Optimization and Enterprise Deployments (CI/CD Integrations, Scalability, Real Cases)

Deep dive into advanced prompts for complex tasks such as refactoring legacy code or microservices architecture, integration of Devin 2026 with GitHub Actions and Docker for automated pipelines, hands-on workshops on ongoing business projects involving collaborative multi-agents, performance optimization to reduce development times by 70%, simulations of production deployments with monitoring, development of a strategic adoption plan for Devin 2026 in teams, delivery of certifying reports and best practices for sustainable upskilling.