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 Google's Generative AI in 4 Days training are: Basic Python programming skills, knowledge of REST APIs and JSON.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Gemini API - Integrate Google's Generative AI in 4 Days training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training Gemini API - Integrate Google's 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 Google's Generative AI in 4 Days 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 Google's Generative AI in 4 Days 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 Google's Generative AI in 4 Days 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

Discover the fundamentals of Google's Gemini API

Create an account and obtain a secure API key

Make simple API calls with Python and curl

Master prompt engineering for optimal responses

Integrate Gemini into web applications or scripts

Develop a concrete project with real-world use cases

Evaluate costs and performance of the models

Training program

Module 1Introduction to Gemini API: registration, authentication, and first calls (Python, curl, Postman)

Dive into the Gemini universe by creating your Google Cloud account, generating a secure API key, then test your first calls via curl and Python. Explore the official documentation with guided exercises on basic requests, receive immediate AI responses, and analyze common errors for a smooth and confident start.

Module 2Prompt Engineering for Gemini API: optimizing requests (models, parameters, tuning)

Master the art of effective prompts by experimenting with various Gemini models. Adjust temperature, top-p, and max tokens in practical exercises. Transform simple requests into precise and creative outputs. Compare results with concrete cases like text generation or summarization, and boost your skills for impactful applications.

Module 3Advanced Gemini API Integrations: multimodal and streaming (Python SDK, Flask)

Integrate Gemini into your projects using the official Python SDK. Handle images and text in multimodal mode, implement streaming for real-time responses, develop a REST API with Flask including authentication. Test with interactive chatbots and exercises on AI vision. Experience the thrill of hybrid applications ready for deployment.

Module 4Practical Gemini API Projects: real-world cases and deployment (Vercel, cost monitoring)

Apply your skills by building a complete AI assistant. Integrate code generation, data analysis, and Q&A. Deploy on Vercel with Google quota monitoring. Evaluate performance using precise metrics. Finalize with a portfolio-ready deliverable and personalized feedback. Leave boosted to innovate in your professional projects starting tomorrow.