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 - Integrate Professional Generative AI training are: Mastery of Python or Node.js, REST APIs, basics in machine learning. A preliminary interview validates your eligibility.

Is the training available in person?

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

Training Google Gemini API - Integrate… | 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.

Configure your training

Response within 24hNo commitment100% free

7 spots remaining for the next session

FormatParticipantsDateDetails

Which format do you prefer?

Methods, approaches, and teaching resources

The Training Google Gemini API - Integrate 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 - Integrate 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 - Integrate 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 the Google Gemini API for professional AI integrations

Develop generative applications with advanced prompts

Implement context management and multimodality in enterprise settings

Optimize API calls for scalability and reduced costs

Design certified AI pipelines with Google Gemini

Deploy secure and high-performance AI solutions

Training program

Module 1Google Gemini API Fundamentals: Setup and First Calls (Python, Node.js, Authentication)

Installation of the development environment with official Google SDKs, creation of secure API keys and configuration of a professional project, first API calls for simple text generation, practical exercises on basic prompts with response analysis, real enterprise cases for initial chatbots, production of a first functional deliverable with logs and monitoring.

Module 2Google Gemini API Prompt Engineering: Advanced Techniques (Chain-of-Thought, Few-Shot)

In-depth exploration of prompting strategies for precise and creative outputs, hands-on practice of chain-of-thought and few-shot learning on real datasets, optimization of temperature and top-p for quality control, collaborative workshops on business cases like document summarization or code generation, development of a personalized AI assistant, performance evaluation with automated metrics.

Module 3Advanced Google Gemini API Features: Multimodality and Long Context (Vision, Audio)

Integration of multimodality for image and audio processing via Gemini API, management of extended contexts up to 1M tokens for persistent conversations, exercises on product image visual analysis and enriched audio transcription, connection to vector databases like Pinecone, construction of a complete RAG system, real enterprise condition tests with iterative feedback.

Module 4Google Gemini API Deployment and Optimization: Scaling, Security, Monitoring (Vertex AI)

Deployment on Vertex AI for scalable and serverless production, implementation of rate limiting, caching, and custom fine-tuning, securing calls with OAuth and robust error handling, monitoring with Google Cloud Logging and cost optimization via batching, finalization of red-thread project as a deployed web AI application, code review and post-training action plan for the enterprise.