Training Vertex AI 2026 - Mastering Advanced AI Pipelines on Google Cloud

Very demanding course · Expertise required

$6,300

  • 4 days
  • Onsite
  • 10 people max.
Ref: OKM207
10 people max.
$6,300
In-company rate: from $10,710 for the whole teamExpertise rate: $1,575 per day, reflecting the difficulty levelAWS, Azure or OVH infrastructure: from $158 / day extra
On-site and certification exam on quote
4 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastery of Vertex AI 2026, 75% of data teams lose 30% of their time on inefficient manual pipelines, according to Gartner 2025, resulting in project delays of 6 months and annual cloud cost overruns of 25k€ per model.

  • Companies not aligned on Google Cloud AI see their AI revenue drop 18% versus agile competitors, risking skill obsolescence and 40% expert turnover.

  • Your career stagnates without these certifying skills, blocking promotions and strategic projects.

  • Invest now to secure AI leadership.

Nawfel ABED, Learni trainer · Cybersecurity expert
Nawfel ABED

Learni trainer · Cybersecurity expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.

Vertex AI training objectives

  • Master automated Vertex AI 2026 pipelines to scale AI models in enterprise settings
  • Develop expert skills in AutoML and hyperparameter tuning on Vertex AI
  • Design distributed AI architectures with Vertex AI 2026 for complex professional projects
  • Implement secure and monitored deployments of certifying AI models
  • Optimize costs and performance of AI workflows via Vertex AI in professional training
  • Integrate Vertex AI 2026 into enterprise ecosystems for immediate competitive gains

Program

Vertex AI curriculum: 4 modules over 4 days

Module 1 : Vertex AI 2026: Advanced Architectures and Pipeline Configuration (Google Cloud SDK, Vertex AI Workbench)

Discover the new architectural features of Vertex AI 2026 through practical exercises on Google Cloud SDK and Vertex AI Workbench, configure expert environments for AI pipelines, implement distributed workflows with massive data management, test BigQuery and Dataflow integrations in real-time, produce a first scalable functional pipeline, analyze logs for initial optimization, receive ready-to-use enterprise templates.

Module 2 : Vertex AI 2026: Expert AutoML and Hyperparameter Tuning (TensorFlow Extended, Kubeflow Pipelines)

Dive into advanced AutoML in Vertex AI 2026 with TensorFlow Extended and Kubeflow Pipelines, train custom models on complex datasets via interactive workshops, optimize hyperparameters in expert mode for maximum precision, compare performances on real benchmarks, integrate automated feedback loops, generate detailed tuning reports, export models to production with complete metadata.

Module 3 : Vertex AI 2026: Secure Deployment and Scaling (Vertex AI Endpoints, AI Monitoring)

Master expert deployment on Vertex AI Endpoints and AI Monitoring in Vertex AI 2026, deploy models in A/B testing via secure practical sessions, configure autoscaling for variable loads, implement explainability and bias detection, monitor in real-time with custom dashboards, manage automated rollbacks, produce a production-ready endpoint with compliance certificates.

Module 4 : Vertex AI 2026: Cost-Performance Optimization and Enterprise Cases (Vertex AI Vizier, Explainable AI)

Optimize Vertex AI 2026 workflows via Vertex AI Vizier and Explainable AI using real enterprise use cases, analyze costs with advanced simulators, reduce latency by 40% through expert tuning, integrate hybrid multi-cloud, develop predictive dashboards, finalize a deliverable capstone project, receive certification and post-training resources for immediate deployment.

How Vertex AI skills are assessed

  • Daily interactive quizzes on Vertex AI 2026 concepts
  • Practical projects evaluated by MLOps experts
  • Final certifying exam with real enterprise cases

How the Vertex AI course is taught

  • Active pedagogy 70% hands-on on Vertex AI 2026
  • Real cases from industrial productions
  • Unlimited access to Google Cloud labs post-training
  • 3-month mentorship support for implementation

Vertex AI training: access and practical arrangements

The Training Vertex AI 2026 - Mastering Advanced AI Pipelines on Google Cloud program is delivered onsite or remote (blended-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 Advanced AI Pipelines on Google Cloud 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 Advanced AI Pipelines on Google Cloud 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

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

Our method

How Learni guarantees the quality of your Vertex AI training

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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Our social commitment

A school kit donated to a child for every training booked

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.

  • Backpack, notebooks and essential supplies
  • Distributed through our partner charities
  • Included, at no extra cost to you
Enroll and offer a kit
FAQ

Vertex AI: frequently asked questions

Which tools are used in Vertex AI 2026 training?+
Hands-on work runs on google Cloud SDK, vertex AI Workbench, tensorFlow Extended, kubeflow Pipelines, vertex AI Endpoints and AI Monitoring. Those tools come from the Vertex AI 2026 program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after Vertex AI 2026 training?+
They can master automated Vertex AI 2026 pipelines to scale AI models in enterprise settings, develop expert skills in AutoML and hyperparameter tuning on Vertex AI and design distributed AI architectures with Vertex AI 2026 for complex professional projects. Those are the stated objectives of the Vertex AI 2026 program at Expert level, checked by the end-of-session assessment.
What does the Vertex AI 2026 program cover, day by day?+
Day 1: Vertex AI 2026: Advanced Architectures and Pipeline Configuration (Google Cloud SDK, Vertex AI Workbench). Day 2: Vertex AI 2026: Expert AutoML and Hyperparameter Tuning (TensorFlow Extended, Kubeflow Pipelines). Day 3: Vertex AI 2026: Secure Deployment and Scaling (Vertex AI Endpoints, AI Monitoring). Day 4: Vertex AI 2026: Cost-Performance Optimization and Enterprise Cases (Vertex AI Vizier, Explainable AI). The Vertex AI 2026 program runs over 4 days, delivered on site.
How is Vertex AI 2026 training assessed?+
Assessment relies on daily interactive quizzes on Vertex AI 2026 concepts, practical projects evaluated by MLOps experts and final certifying exam with real enterprise cases. Learni issues a completion certificate together with the individual assessment report at the end of the Vertex AI 2026 program, which an L&D team can file as evidence.
How much does Vertex AI 2026 training cost per participant?+
Vertex AI 2026 training costs $6,300 per participant. For an in-company team, the flat rate starts at $10,710 for the whole group, up to 8 people. AWS, Azure or OVH infrastructure is extra, from $158 per day. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Vertex AI 2026 training take?+
4 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Vertex AI 2026 training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Vertex AI 2026 training?+
Advanced proficiency in Python and TensorFlow/PyTorch, experience with Google Cloud Platform, production-deployed MLOps pipelines, skills in deep learning and AI model optimization.
Is a certificate issued after Vertex AI 2026 training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Vertex AI 2026 training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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