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 Gemini - Developing Scalable Generative AIs training are: Advanced mastery of Python, REST/gRPC APIs, machine learning and cloud computing. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Gemini - Developing Scalable Generative AIs training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training Gemini - Developing Scalable Generative… | 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 Gemini - Developing Scalable Generative AIs 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 Gemini - Developing Scalable Generative AIs 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 Gemini - Developing Scalable Generative AIs 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 access terms and deadlines

Training objectives

Master the Gemini API to create professional, certifiable AI applications

Develop intelligent agents with Gemini in an enterprise context

Optimize advanced prompts for maximum performance in production

Implement secure Gemini integrations in enterprise pipelines

Design scalable solutions with fine-tuning and monitoring in Gemini

Deploy optimized Gemini AI workflows for competitive skills

Training program

Module 1Gemini Architecture: Modeling Advanced AI Workflows (API, Python SDK, Structured Prompting)

Dive into the Gemini ecosystem with installation of the Google AI Studio SDK, exploration of Gemini 1.5 Pro and Flash models for professional cases, design of advanced chain-of-thought and few-shot prompts on enterprise datasets, practical exercises in multimodal text-image-code generation, creation of a first reactive AI agent with evaluation of latency and accuracy, trainer feedback on immediate optimization for real projects.

Module 2Gemini Integration: Connecting to Enterprise Systems (Vertex AI, Security, Hybrid RAG)

Integrate Gemini into cloud architectures via Vertex AI and Google Cloud Run, development of RAG pipelines with vector databases Pinecone or Vertex Vector Search, implementation of secure guards against jailbreaks and biases, exercises on streaming API for real-time enterprise chatbots, connection to SQL/NoSQL databases for intelligent contextual queries, unit tests and advanced debugging with structured logging, production of a deployable full-stack prototype certifying your skills.

Module 3Gemini Optimization: Scaling and Deploying in Production (Fine-tuning, Monitoring, CI/CD)

Scale up with custom fine-tuning of Gemini on proprietary data via Vertex AI, optimization of costs and performance with caching and distillation, setup of monitoring with Google Cloud Observability for 99.9% SLA, exercises in serverless deployment on Cloud Run with autoscaling, CI/CD integration with GitHub Actions for continuous updates, final security and GDPR compliance audit, completion of the red thread project with enterprise rollout plan for immediate ROI.

Evaluation method

Expert multiple-choice quiz to validate learning outcomes at the end of the training
Continuous evaluation through practical exercises and code reviews
Defense of the red thread Gemini AI project in front of the trainer