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Training Vertex AI - Deploying Scalable AI Solutions

Ref: SAN874
10 people max.
5250€ 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 Vertex AI for developing professional ML pipelines
  • Implement predictive models with AutoML and custom training
  • Design scalable generative AI applications in the enterprise
  • Optimize model deployment with Vertex AI Endpoints
  • Deploy certified MLOps workflows for reliable production
  • Acquire skills in monitoring and AI explainability

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.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Vertex AI Fundamentals: Setup and Data Pipelines (Google Cloud SDK, Vertex AI Workbench)

Installation and configuration of the Vertex AI environment via Google Cloud Console, creation of interactive notebooks in Vertex AI Workbench to explore real enterprise datasets, setup of data pipelines with Dataflow and BigQuery, initial hands-on exercises on importing structured data, automated cleaning, and quality validation, production of a dataset ready for ML training with immediate instructor feedback.

Module 2Vertex AI AutoML Models: Automated Training and Tuning (Vision, Tabular, NLP)

Deep dive into AutoML to train models without complex code on concrete cases such as image classification or customer churn prediction, use of no-code interfaces to upload datasets and launch training jobs, automatic performance evaluation with precise metrics like AUC-ROC, hands-on exercises to tune hyperparameters and compare models, generation of detailed reports ready for stakeholders, immediate valorization of accessible AI skills.

Module 3Vertex AI Generative AI: Gemini and Foundation Models (Prompt Engineering, Fine-tuning)

Exploration of Gemini models in Vertex AI Studio to generate text, images, and code, mastery of prompt engineering with chain-of-thought and few-shot learning techniques on real business scenarios, custom fine-tuning of models on confidential enterprise data, integration into prototype chatbots via API, interactive tests to measure coherence and safety, creation of a functional AI assistant as a concrete deliverable, directly boosting team productivity.

Module 4Vertex AI Deployment: Endpoints and Serving (Kubernetes, Vertex AI Prediction)

Scalable deployment of models via Vertex AI Endpoints with Docker containerization and Kubernetes orchestration, configuration of batch and online prediction services for high loads, securing APIs with IAM and VPC, practical exercises on migrating an AutoML model to production, real-time monitoring of performance and costs via Cloud Monitoring, latency optimization for critical applications, obtaining a live endpoint tested under real enterprise conditions.

Module 5Advanced Vertex AI MLOps: Monitoring and Optimization (Vertex AI Pipelines, Explainable AI)

Full automation of MLOps workflows with Vertex AI Pipelines for ML CI/CD, implementation of drift monitoring and explainability via Vertex Explainable AI on ethical bias cases, cost optimization with spot instances and auto-scaling, finalization of the red thread project on a personalized business challenge, code review and deployment in a shared cluster, certification of skills via MCQ and defense, post-training support for immediate production integration.

Evaluation method

  • Technical MCQ on Vertex AI and its tools at the end of the training
  • Practical evaluation through deployment of a complete model
  • Defense of the red thread project with MLOps analysis

Learning method

  • Courses led by a Google Cloud certified Vertex AI expert instructor
  • Hands-on labs on the Vertex AI console with real-world datasets
  • End-to-end red thread AI project over 5 days
  • Detailed course materials and access to shared Jupyter notebooks

Methods, materials and delivery

The Training Vertex AI - Deploying Scalable AI Solutions 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 Vertex AI - Deploying Scalable AI Solutions 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 Vertex AI - Deploying Scalable AI Solutions 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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