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Training Gemini API - Integrate Expert Generative AI

Ref: BOP902
10 people max.
$5,040 HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$180/day onsite · +$540 with certification exam
4 days
Remote

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Learning objectives

  • Master the advanced endpoints of Gemini API
  • Integrate Gemini into scalable applications
  • Optimize prompts for ultra-precise responses
  • Manage security, quotas, and costs effectively
  • Deploy AI pipelines with integrated monitoring
  • Create intelligent multi-modal agents
  • Analyze performance and iterate quickly

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 advanced mastery of Gemini API, 65% of AI projects fail in the integration phase, wasting 150h of development per team according to Gartner.

  • Your competitors are already deploying autonomous agents boosting productivity by 40%, while you struggle with hallucinations, exploded quotas, and unforeseen costs multiplied by 3.

  • Stay behind on a generative AI market growing 50%/year, miss critical business opportunities, and expose your apps to costly security vulnerabilities in GDPR fines.

  • Invest now to scale your AI solutions without friction.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced Gemini API Fundamentals: authentication, multimodal endpoints (text, image, code)

Dive into secure authentication via Google Cloud, configure your first multimodal requests with Python SDK, test complex prompts on real cases like code generation, analyze structured JSON responses, create your first deliverable: a basic chatbot integrated into a Flask API, practical exercises to solidify expert foundations.

Module 2Complex Gemini API Integrations: streaming, batching, fine-tuning (SDK tools, Vertex AI)

Develop real-time streaming flows for interactive apps, implement batching to scale on large volumes, explore fine-tuning on custom datasets via Vertex AI, integrate Gemini with FastAPI or Express.js, complete exercises on e-commerce with personalized product generation, produce deliverable: scalable prototype with monitoring logs.

Module 3Gemini API Optimization and Security: prompt engineering, quotas, RAG (LangChain, guardrails)

Perfect prompt engineering with advanced chain-of-thought, integrate RAG for reliable contextualized responses, manage quotas/costs via Cloud budgets, secure with guardrails against jailbreaks, test on critical cases like sensitive data analysis, collaborative exercises, deliverable: optimized anti-hallucination module ready for production.

Module 4Gemini API Deployment and Real Projects: autonomous agents, monitoring (Docker, CI/CD)

Build multi-tool agents with function calling, deploy in Docker containers on Cloud Run, configure CI/CD with GitHub Actions, monitor with Prometheus/Grafana, apply to final project like enterprise virtual assistant, live debugging, finalize portfolio deliverable: fully deployed and documented AI app.

Evaluation method

  • Daily technical quizzes, real case studies, graded final project, skills self-assessment

Learning method

  • 80% hands-on active pedagogy, practical exercises, individual coaching, peer feedback

Methods, materials and delivery

The Training Gemini API - Integrate Expert Generative AI 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 API - Integrate Expert Generative AI 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 API - Integrate Expert Generative AI 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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