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 Google Gemini API - Integrating Professional Generative AI training are: Mastery of Python/Node.js, REST/GraphQL APIs, LLM basics, and generative AI. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Google Gemini API - Integrating Professional Generative AI training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training Google Gemini API - Integrating Profess... | 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 Google Gemini API - Integrating Professional 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 Google Gemini API - Integrating Professional 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 Google Gemini API - Integrating Professional 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 objectives

Master Google Gemini API for professional, certifiable integrations

Develop advanced AI applications with prompt engineering

Implement multimodal state management and real-time streaming

Optimize performance and security of Gemini models in enterprise settings

Design scalable AI pipelines connected to databases

Deploy Gemini API solutions in production with monitoring

Acquire certifiable skills for professional AI projects

Training program

Module 1Google Gemini API: Authentication and Advanced Calls (API keys, OAuth, SDK)

Secure setup of Google Cloud environment with API keys and OAuth2, exploration of Gemini Pro and Flash endpoints via Python/Node.js SDK, initial multimodal calls on text/image, practical exercises to generate personalized content, analysis of structured JSON responses, creation of a first integrated AI prototype in a web app, with debugging and quota optimization for professional projects.

Module 2Google Gemini API: Prompt Engineering and Advanced Models (chain-of-thought, few-shot)

Advanced prompting techniques for Gemini 1.5 Pro, implementation of chain-of-thought and tree-of-thoughts, experimentation with few-shot and zero-shot on real enterprise cases, automated code generation and analytical summaries, collaborative workshops to refine prompts via A/B testing, production of deliverables like a customized virtual assistant, evaluation of quality metrics to boost team productivity.

Module 3Google Gemini API: Multimodal Integration and Streaming (vision, audio, real-time)

Gemini Vision integration for image/video analysis in mobile apps, streaming implementation for interactive real-time chatbots, connection to NoSQL databases like Firebase, exercises on audio processing for AI transcription, development of a reactive dashboard with React/Next.js, real-world e-commerce client automation case, end-to-end testing and stream refinement for optimal production performance.

Module 4Google Gemini API: Optimization and Security (rate limiting, grounding, RAG)

Cost optimization strategies with caching and batching on Gemini API, RAG implementation for grounding with Vertex AI Search, protection against injections and hallucinations via advanced guardrails, monitoring with Google Cloud Logging, workshops on custom fine-tuning via tuning API, 50% latency reduction on real projects, production of a secure, scalable enterprise pipeline with GDPR compliance audit.

Module 5Google Gemini API: Deployment and Enterprise Projects (Kubernetes, CI/CD, monitoring)

Serverless deployment on Cloud Run or GKE for scalable Gemini apps, CI/CD integration with GitHub Actions and Terraform, advanced monitoring via Cloud Monitoring and custom alerting, finalization of capstone project as an autonomous AI agent, peer code review, preparation for Qualiopi certification, post-training action plan for immediate enterprise ROI, with extended resource support.