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.
Learning 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
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.
Program
Module 1Vertex 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 2Vertex 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 3Vertex 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 4Vertex 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.
Evaluation method
- Daily interactive quizzes on Vertex AI 2026 concepts
- Practical projects evaluated by MLOps experts
- Final certifying exam with real enterprise cases
Learning method
- 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
Methods, materials and delivery
The Training Vertex AI 2026 - Mastering Advanced AI Pipelines on Google Cloud 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 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
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
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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.
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.
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.
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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