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 Gemini API Training - Integrate Google's Expert Generative AI training are: Advanced Python mastery, REST/gRPC API experience, machine learning basics, prompt engineering.. A preliminary interview validates your eligibility.

Is the training available in person?

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

Gemini API Training - Integrate Google's Expert… | 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 Gemini API Training - Integrate Google's 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 Gemini API Training - Integrate Google's 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 Gemini API Training - Integrate Google's 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 objectives

Develop multimodal applications with Gemini API

Optimize prompts for maximum performance

Integrate Gemini into scalable cloud architectures

Manage security and compliance for sensitive data

Deploy automated pipelines in production

Analyze and fine-tune models for business cases

Measure ROI via advanced AI metrics

Training program

Module 1Advanced Gemini Fundamentals: Authentication, Python SDK (Vertex AI)

Dive into SDK installation, configure secure API keys, test text/image endpoints via Jupyter, code first structured prompts, analyze JSON responses, create real multimodal exercises for intelligent chatbots, produce deliverable: functional API prototype that boosts your productivity from day 1.

Module 2Expert Prompt Engineering: Chain-of-Thought Techniques, Few-Shot (Gemini Pro Tools)

Master complex prompt chaining, optimize for logical reasoning, experiment few-shot on custom datasets, evaluate latency/responses via metrics, apply to e-commerce cases for personalized recommendations, generate automated reports, leave with ready-to-deploy templates that transform your workflows.

Module 3Multimodal Integration: Vision, Audio (Gemini 1.5 Flash/Pro, FastAPI)

Integrate vision for image/video analysis, fuse audio-text in real-time, deploy FastAPI microservices, test medical or retail cases via practical exercises, debug edge-case errors, produce complete scalable API, experience the thrill of creating hybrid AI apps ready for market.

Module 4Security, Scaling, and Fine-Tuning: Guards, Vertex AI Tuning

Implement security guards against jailbreaks, configure quotas/auto-scaling, fine-tune models on private data, monitor via Cloud Logging, simulate real attacks in workshops, optimize costs 40% via batching, deliverable: secure production pipeline that protects your critical data.

Module 5Capstone Projects and Deployment: Docker, Kubernetes (Business Deliverables)

Design personalized final project like enterprise virtual assistant, deploy on GKE, integrate Prometheus monitoring, present investor pitch, receive expert feedback, certify skills, leave with concrete portfolio enhancing your CV and accelerating promotions.