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 API - Integrate Expert Generative AI training are: Mastery of Python or Node.js, experience with REST/GraphQL APIs, machine learning basics, configured development environment.. A preliminary interview validates your eligibility.

What are the objectives of the Training Gemini API - Integrate Expert Generative AI training?

The objectives of the Training Gemini API - Integrate Expert Generative AI training are: Master the advanced endpoints of Gemini API. Integrate Gemini into scalable applications. Optimize prompts for ultra-precise responses. Manage security, quotas, and costs effectively. Deploy AI pipelines with integrated monitoring. Create intelligent multi-modal agents. Analyze performance and iterate quickly. Upon completion, you will be able to put these skills into practice.

Is the training available in person?

Yes, the Training Gemini API - Integrate Expert Generative AI training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training Gemini API - Integrate Expert Generativ... | 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 API - Integrate Expert Generative 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 Gemini API - Integrate Expert Generative 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 Gemini API - Integrate Expert Generative 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 access terms and deadlines

Training program

Module 1Advanced Gemini API Fundamentals: authentication, multimodal endpoints (text, image, code)

Dive into secure authentication via Google Cloud, configure your first multimodal requests with Python SDK, test complex prompts on real cases like code generation, analyze structured JSON responses, create your first deliverable: a basic chatbot integrated into a Flask API, practical exercises to solidify expert foundations.

Module 2Complex Gemini API Integrations: streaming, batching, fine-tuning (SDK tools, Vertex AI)

Develop real-time streaming flows for interactive apps, implement batching to scale on large volumes, explore fine-tuning on custom datasets via Vertex AI, integrate Gemini with FastAPI or Express.js, complete exercises on e-commerce with personalized product generation, produce deliverable: scalable prototype with monitoring logs.

Module 3Gemini API Optimization and Security: prompt engineering, quotas, RAG (LangChain, guardrails)

Perfect prompt engineering with advanced chain-of-thought, integrate RAG for reliable contextualized responses, manage quotas/costs via Cloud budgets, secure with guardrails against jailbreaks, test on critical cases like sensitive data analysis, collaborative exercises, deliverable: optimized anti-hallucination module ready for production.

Module 4Gemini API Deployment and Real Projects: autonomous agents, monitoring (Docker, CI/CD)

Build multi-tool agents with function calling, deploy in Docker containers on Cloud Run, configure CI/CD with GitHub Actions, monitor with Prometheus/Grafana, apply to final project like enterprise virtual assistant, live debugging, finalize portfolio deliverable: fully deployed and documented AI app.