🎁Azure · AWS · Google — 1 free certification per learner, up to $400.Get the offer →
← Back

Training Vertex AI 2026 - Mastering Automated AI Pipelines

Ref: EOA353
10 people max.
5500€ 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

Share in 2 clicks

EquansAptarArcelorMittalUbisoftINSEECLa PlateformeCESIEFREIEPSIINGETISMy Digital SchoolYnovEquansAptarArcelorMittalUbisoftINSEECLa PlateformeCESIEFREIEPSIINGETISMy Digital SchoolYnov

Learning objectives

  • Master Vertex AI 2026 pipelines to automate ML workflows in enterprise settings
  • Develop professional skills in deploying models on Vertex AI
  • Design scalable AI solutions using the platform's advanced tools
  • Optimize model performance via Vertex AI for certification projects
  • Implement Deep Learning and Prompt Engineering integrations in Vertex AI
  • Configure secure Vertex AI environments tailored to professional needs

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 1Vertex AI 2026 Fundamentals: Configuration and Initial Pipelines (Google Cloud SDK, AutoML)

Discover the new features of Vertex AI 2026 through hands-on configuration of your Google Cloud environment, installing the SDK, and creating your first ML pipelines. Participate in guided exercises on AutoML to train models without deep coding, analyze real enterprise datasets, and produce your first deliverables like a functional pipeline ready to scale. Our experts demonstrate native integrations with BigQuery, emphasizing professional efficiency to accelerate your AI projects.

Module 2Advanced Vertex AI 2026 Pipelines: Orchestration and Monitoring (Kubeflow, Vertex Pipelines)

Dive into orchestrating complex pipelines with Vertex Pipelines and Kubeflow on Vertex AI 2026, automating end-to-end workflows for enterprise use cases. Perform practical exercises on real-time monitoring, integrate custom Python components, test resilience with large datasets, and generate performance reports. This session strengthens your skills for reliable deployments, simulating real scenarios like customer churn prediction.

Module 3Model Deployment on Vertex AI 2026: Scaling and Serving (Vertex Endpoints, TensorFlow Serving)

Learn to deploy and scale AI models on Vertex AI 2026 via dedicated endpoints, using TensorFlow Serving and custom containers. Practice A/B testing, load-based auto-scaling, and integration with REST APIs for production applications. Work on real enterprise cases like image recognition, produce monitoring dashboards, and optimize costs through the platform's automated recommendations.

Module 4Vertex AI 2026 Optimization: Tuning and Explainability (Hyperparameter Tuning, Vertex Explain)

Master advanced optimization with Hyperparameter Tuning and Vertex Explain on Vertex AI 2026 for more accurate and interpretable models. Conduct practical sessions of automated tuning on complex datasets, analyze explainability with integrated SHAP and LIME, apply regularization techniques, and validate performance using business metrics. These exercises prepare for enterprise regulatory audits, with deliverables like ready-to-use explainability reports.

Module 5Integrations and Projects on Vertex AI 2026: Deep Learning and Production (Gemini API, MLOps)

Conclude with advanced Deep Learning and Prompt Engineering integrations in Vertex AI 2026 via Gemini API and complete MLOps pipelines. Develop a team capstone project on a real case like AI content generation, deploy to production with CI/CD, test data security and governance, and present certification deliverables. This day consolidates your professional skills for immediate enterprise adoption.

Evaluation method

  • Interactive quizzes and multiple-choice questions at the end of each day to validate theoretical knowledge
  • Practical projects evaluated by certified Google Cloud experts
  • Final certification exam with professional scenario-based assessment on Vertex AI

Learning method

  • Learning through concrete projects inspired by real business cases
  • Interactive teaching methods with 70% hands-on practice
  • Personalized support in small groups for tailored progression
  • Unlimited access to an e-learning platform post-training for review

Methods, materials and delivery

The Training Vertex AI 2026 - Mastering Automated AI Pipelines 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 2026 - Mastering Automated AI Pipelines 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 2026 - Mastering Automated AI Pipelines 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.

Your professional training, anywhere

Let's build
your next
program.

30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.

Reply within 24 h · Industry-certified · Corporate funding
WhatsApp