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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.
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Training Google Cloud Professional Machine Learning Engineer PMLE - Get Your Certification in 3 Days May 2026
Learning objectives
- Master advanced machine learning concepts on Google Cloud to develop scalable and performant solutions.
- Effectively prepare for the Professional Machine Learning Engineer (PMLE) certification exam with proven strategies.
- Configure and implement MLOps pipelines via Vertex AI and Kubeflow for automated deployments.
- Validate your professional skills by optimizing ML models for real business cases.
- Deploy secure and compliant ML architectures on Google Cloud.
- Pass the PMLE exam in 3 days thanks to intensive labs and mock quizzes.
- Obtain the internationally recognized Google Cloud certification to accelerate your professional development.
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 1Machine Learning Fundamentals on Google Cloud: Vertex AI, AutoML, and BigQuery ML (ML services, hands-on labs)
Discover the pillars of the machine learning engineer on Google Cloud through Vertex AI for dataset management and model training, AutoML for rapid automations, and BigQuery ML for integrated predictive analytics. Dive into practical labs on the Google Cloud console, processing real datasets to design your first ML pipelines, with a focus on professional best practices and cloud resource optimization.
Module 2Architecture and MLOps on Google Cloud: Kubeflow, Vertex Pipelines, and Deployment (ML DevOps Tools, Advanced Exercises)
Dive into scalable architectures with Kubeflow for orchestration, Vertex AI pipelines for end-to-end automation, and deployments on Cloud Run or AI Platform. Perform practical exercises on the console to implement complete MLOps workflows, manage model versions, ensure monitoring and data security in real use cases such as customer prediction or anomaly detection, strengthening your PMLE certifying skills.
Module 3Intensive Preparation for the PMLE Exam: Mock Quizzes, Strategic Review, and Simulations (Passing Score Strategies)
Dedicate this day to targeted preparation for the Google Cloud Professional Machine Learning Engineer exam: exhaustive review of domains (framing, architecting, data, modeling, production), solving timed mock quizzes identical to the real exam, and mastering strategies to achieve the required score. Final labs on complex cases, tips for common pitfalls, and personalized coaching to validate your knowledge and maximize your certification chances right at the end of the training.
Evaluation method
- Continuous evaluation through practical labs and exercises on Google Cloud console each day.
- PMLE exam simulations with mock quizzes and immediate feedback.
- Interactive quizzes and real case studies to validate professional skills.
- Qualiopi training certificate and exam voucher included for immediate certification.
Learning method
- Experiential learning through hands-on labs (80% practical) on a dedicated Google Cloud environment.
- Interactive remote pedagogical method with screen sharing and live sessions.
- Real business case studies to anchor skills in a professional context.
- Post-training resources: video replays, slides, and platform access for 6 months.
Methods, materials and delivery
The Training Google Cloud Professional Machine Learning Engineer PMLE - Get Your Certification in 3 Days May 2026 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 Google Cloud Professional Machine Learning Engineer PMLE - Get Your Certification in 3 Days May 2026 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 Google Cloud Professional Machine Learning Engineer PMLE - Get Your Certification in 3 Days May 2026 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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