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 Advanced Generative AI training are: Mastery of Python or Node.js, knowledge of REST APIs, basics in asynchronous programming.. A preliminary interview validates your eligibility.

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

The objectives of the Training Gemini API - Integrate Advanced Generative AI training are: Master authentication and Gemini API calls. Optimize prompts for precise and contextual responses. Handle multimodal text-image-audio flows. Implement streaming and model tuning. Deploy scalable applications with Gemini. Debug and monitor AI integrations. Create intelligent and personalized chatbots. Upon completion, you will be able to put these skills into practice.

Is the training available in person?

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

Training Gemini API - Integrate Advanced Generat... | 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 Advanced 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 Advanced 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 Advanced 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 1Gemini API Fundamentals: Authentication, First Calls (Python, SDK)

Discover the Gemini API via Google AI Studio, configure your secure API key, make your first synchronous and asynchronous calls with the Python SDK, test simple text generations on real cases like automated writing, analyze JSON responses to extract immediate insights, and produce a deliverable: a basic functional script ready for integration.

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

Dive into the art of prompting with Gemini, practice chain-of-thought for step-by-step reasoning, apply few-shot on real datasets to refine outputs, test iteratively on exercises like long document summarization, measure accuracy via automated metrics, and generate a deliverable: a reusable prompt library boosting your AI projects by 40% in efficiency.

Module 3Multimodal Features: Text-Image, Streaming (Vertex AI Integration)

Explore Gemini's multimodal capabilities, integrate images and audio into prompts via SDK, develop real-time AI vision apps analyzing photos, implement streaming for fluid responses without latency, connect to Vertex AI for cloud scaling, simulate real cases like product visual recognition, and create a deliverable: a deployable multimodal prototype.

Module 4Advanced Projects and Deployment: Security, Monitoring (Docker, FastAPI)

Build a complete chatbot with Gemini, integrate API security and rate limiting, deploy via FastAPI and Docker on cloud, monitor performance with advanced logging, test robustness on edge case scenarios, optimize costs via intelligent batching, collaborate in pairs for peer-review, and finalize a deliverable: a full-stack Gemini application ready for production, with certified portfolio.