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.
Training: Mastering Vertex AI on Google Cloud: Deployment, Training and MLOps
Specialist course · Minimum level required
Trusted by — schools, companies and industrial groups
41,182 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.
Vertex AI on Google Cloud training objectives
- Understand the positioning of Vertex AI within the Google Cloud ecosystem
- Know how to create, train, deploy and monitor ML models with Vertex AI
- Set up automated machine learning pipelines (MLOps) on Vertex AI
- Manage datasets, version models and orchestrate complex ML workflows
- Supervise, monitor and optimize model performance in production
Program
Vertex AI on Google Cloud curriculum: 5 modules over 3 days
Module 1 : Introduction and Fundamentals of Vertex AI
Presentation of the fundamental concepts of artificial intelligence on Google Cloud Platform. Overview of Vertex AI: architecture, key modules, advantages over AI Platform. Introduction to the interface, permission management and project configuration.
Module 2 : Data Loading and ML Project Preparation
Management and import of datasets with Vertex AI Dataset, automatic annotation and dataset lifecycle management. Hands-on with GCS storage and best practices. First steps with Vertex AI Workbench notebooks and collaborative project management.
Module 3 : Model Training and Deployment with Vertex AI
Creating training experiments with AutoML and custom models. Launching training jobs on GPU/TPU, metric tracking, hyperparameter tuning. Model deployment features: endpoints, A/B testing, scalable operations and API security. Cost and performance optimization.
Module 4 : MLOps, Pipelines and Orchestration on Vertex AI
Introduction to MLOps, creating automated pipelines with Vertex AI Pipelines (Kubeflow). Model definition and versioning, experiment management, CI/CD for ML models. Security concepts and advanced monitoring (logs, alerting, automated retraining).
Module 5 : Supervision, Monitoring & Optimization of Production ML Models
Supervision of endpoint usage and performance; production model monitoring (drift, bias, latency). Automated retraining strategies, compliance management and data governance. Practical cases: end-to-end deployment, lessons learned and operational optimizations.
How Vertex AI on Google Cloud skills are assessed
- Running case study by teams: complete deployment of an ML model with Vertex AI
- Multiple-choice quiz at the end of the training covering all features addressed
- Continuous evaluation through mini practical projects
How the Vertex AI on Google Cloud course is taught
- Interactive sessions and demonstrations on GCP
- Practical projects with real datasets
- Access to detailed training support (PDF, notebooks, YAML/Python scripts)
- Quizzes and individualized feedback on practical work
Vertex AI on Google Cloud training: access and practical arrangements
The Training: Mastering Vertex AI on Google Cloud: Deployment, Training and MLOps 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: Mastering Vertex AI on Google Cloud: Deployment, Training and MLOps 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: Mastering Vertex AI on Google Cloud: Deployment, Training and MLOps 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 on Google Cloud 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.
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.
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
FAQ
Vertex AI on Google Cloud: frequently asked questions
What can participants do after Training: Mastering Vertex AI on Google Cloud: Deployment, Training and MLOps training?+
They can understand the positioning of Vertex AI within the Google Cloud ecosystem, know how to create, train, deploy and monitor ML models with Vertex AI and set up automated machine learning pipelines (MLOps) on Vertex AI. Those are the stated objectives of the Training: Mastering Vertex AI on Google Cloud: Deployment, Training and MLOps program at Advanced level, checked by the end-of-session assessment.
What does the Training: Mastering Vertex AI on Google Cloud: Deployment, Training and MLOps program cover, day by day?+
Day 1: Introduction and Fundamentals of Vertex AI. Day 2: Data Loading and ML Project Preparation. Day 3: Model Training and Deployment with Vertex AI. Day 4: MLOps, Pipelines and Orchestration on Vertex AI. Day 5: Supervision, Monitoring & Optimization of Production ML Models. The Training: Mastering Vertex AI on Google Cloud: Deployment, Training and MLOps program runs over 3 days, delivered on site.
How is Training: Mastering Vertex AI on Google Cloud: Deployment, Training and MLOps training assessed?+
Assessment relies on running case study by teams: complete deployment of an ML model with Vertex AI, multiple-choice quiz at the end of the training covering all features addressed and continuous evaluation through mini practical projects. Learni issues a completion certificate together with the individual assessment report at the end of the Training: Mastering Vertex AI on Google Cloud: Deployment, Training and MLOps program, which an L&D team can file as evidence.
How much does Training: Mastering Vertex AI on Google Cloud: Deployment, Training and MLOps training cost per participant?+
Training: Mastering Vertex AI on Google Cloud: Deployment, Training and MLOps training costs $4,725 per participant. For an in-company team, the flat rate starts at $8,558 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 Training: Mastering Vertex AI on Google Cloud: Deployment, Training and MLOps training take?+
3 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 Training: Mastering Vertex AI on Google Cloud: Deployment, Training and MLOps 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 Training: Mastering Vertex AI on Google Cloud: Deployment, Training and MLOps training?+
Machine learning basics, knowledge of Google Cloud tools recommended.
Is a certificate issued after Training: Mastering Vertex AI on Google Cloud: Deployment, Training and MLOps 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 Training: Mastering Vertex AI on Google Cloud: Deployment, Training and MLOps 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.
Your professional training, anywhere
Let's build your Vertex AI on Google Cloud learning path.
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