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Training Gemini 2026 - Developing High-Performance Generative AIs

Ref: GBI709
10 people max.
6125€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master the advanced APIs of Gemini 2026 for professional solutions
  • Develop autonomous and multimodal AI agents with Gemini 2026
  • Optimize prompts and fine-tuning for enterprise-certified performance
  • Implement Gemini 2026 in secure DevOps workflows
  • Design scalable AI applications connected to Vertex AI
  • Deploy and monitor Gemini 2026 in real production
  • Evaluate the business impact of the skills acquired in the training

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced Gemini 2026 APIs: Expert Prompting and Vertex AI Integration (SDK Tools, Authentication, First Agents)

Dive into Gemini 2026 APIs via Python SDK and Vertex AI, set up secure authentication and OAuth, master advanced prompting with chain-of-thought and few-shot learning on business cases, develop your first multimodal agent handling text-image-video, test in real-time with trainer feedback, produce a functional deliverable ready for prototyping.

Module 2Autonomous Gemini 2026 Agents: Multi-Agent Architectures and Reasoning (ReAct Tools, Custom Tools, Orchestration)

Design multi-agent architectures with Gemini 2026 using ReAct patterns and tool-calling, integrate external tools like databases or third-party APIs, simulate complex business scenarios such as automated customer support, optimize long-context reasoning via grounding and RAG, iterate on practical exercises with code review, generate architecture diagrams and deployable agents.

Module 3Fine-Tuning Gemini 2026: Personalized Optimization (Vertex AI Tuning Tools, Datasets, Hyperparameters, Evaluation Metrics)

Prepare professional datasets for fine-tuning Gemini 2026 on Vertex AI, adjust hyperparameters to excel in specific tasks like code generation or semantic analysis, evaluate with advanced metrics BLEU, ROUGE, and perplexity, apply to real business cases like custom NLP, migrate models to production, document the complete process with before/after benchmarks to demonstrate immediate ROI.

Module 4Gemini 2026 Security and Scalability: Guardrails and Cloud Deployment (Safety Filters, Kubernetes, Prometheus Monitoring)

Implement Gemini 2026 guardrails against jailbreaks and biases via advanced safety settings, secure sensitive data flows in GDPR compliance, deploy on Google Kubernetes Engine with autoscaling, integrate Prometheus-Grafana monitoring for latency and costs, test extreme loads on red thread projects, produce robust CI/CD pipelines ready for critical enterprise environments.

Module 5Advanced Gemini 2026 Projects: Business Cases and Optimization (Full-Stack Integration, A/B Testing, ROI Measurement)

Develop the red thread project integrating Gemini 2026 in full-stack with React and FastAPI backend, conduct A/B testing on business metrics like conversion or customer satisfaction, measure ROI via custom dashboards, optimize inference costs to the euro, present defense with live demo and enterprise rollout plan, receive certification of validated skills by expert trainer.

Evaluation method

  • Technical MCQ on Gemini 2026 APIs and fine-tuning
  • Continuous evaluation through exercises and code reviews
  • Project defense with functional demo

Learning method

  • Sessions led by active AI experts from Google Cloud partners
  • Practical exercises on real business cases and datasets
  • Evolving red thread project integrating all Gemini 2026 skills
  • Detailed course materials and accessible Vertex AI resources

Methods, materials and delivery

The Training Gemini 2026 - Developing High-Performance Generative AIs program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training Gemini 2026 - Developing High-Performance Generative AIs program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training Gemini 2026 - Developing High-Performance Generative AIs program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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