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 Vertex AI 2026 tools to develop professional, certifiable AI skills
- Design automated ML pipelines tailored to business needs
- Implement optimized Deep Learning models on Vertex AI through practical training
- Optimize Prompt Engineering workflows for precise AI results
- Deploy scalable AI solutions in GCP production environments
- Acquire certifiable skills to boost professional competitiveness
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 Fundamentals (AutoML, datasets, monitoring)
Discover the new features of Vertex AI 2026 through practical exercises on preparing enriched datasets, using AutoML to accelerate model training, and configuring real-time monitoring. Apply these tools to real business cases, generate your first performance reports, and integrate custom metrics to evaluate data quality, all in 7 hours of intensive hands-on with expert feedback.
Module 2Vertex AI 2026: Automated ML Pipelines (Vertex Pipelines, Kubeflow)
Build end-to-end pipelines with Vertex Pipelines and Kubeflow, automating preprocessing, training, and ML model evaluation. Test on real enterprise datasets, integrate custom Python components, debug workflows via the Vertex interface, and deploy your first scalable pipeline, covering 7 hours of collaborative practice to master AI orchestration in production.
Module 3Vertex AI 2026: Deep Learning and Advanced Models (TensorFlow, tuning)
Dive into Deep Learning with Vertex AI 2026, training TensorFlow models on GPU/TPU, applying automatic hyperparameter tuning and advanced optimization techniques. Work on cases like computer vision or NLP, evaluate performance with precise metrics, export optimized models, and integrate them into enterprise apps during 7 hours of practical and interactive workshops.
Module 4Vertex AI 2026: Deployment and Prompt Engineering (serving, GenAI)
Deploy your models to production via Vertex AI Endpoints, configure A/B testing and auto-scaling, then explore Prompt Engineering for GenAI with advanced templates and fine-tuning. Apply to real scenarios like intelligent chatbots, measure business impact, generate certifiable deliverables, and benefit from final coaching on enterprise integration, in 7 hours of concrete projects and in-depth Q&A.
Evaluation method
- Daily interactive quizzes on Vertex AI tools
- Real case studies with personalized expert feedback
- Final ML pipeline project deployed and Qualiopi certified
Learning method
- Practical methods 70% hands-on, 30% intermediate-adapted theory
- Real business cases for immediate professional anchoring
- 3-month post-training support with access to Vertex AI resources
- Internal certification aligned with Google Cloud to boost your CV
Methods, materials and delivery
The Training Vertex AI 2026 - Mastering Automated AI Pipelines on GCP 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 on GCP 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 on GCP 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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