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- Triple validation: technical, pedagogical, sectoral.
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Google Cloud Professional Machine Learning Engineer PMLE Training - Earn Your Certification in 3 Days, May 2026
Learning objectives
- Master machine learning architectures on Google Cloud to design scalable solutions.
- Effectively prepare for the PMLE exam with proven strategies and realistic practice QCMs.
- Configure Vertex AI and ML services to develop end-to-end pipelines.
- Implement and deploy ML models in production using Kubeflow and Cloud Run.
- Optimize the performance and reliability of ML systems on Google Cloud.
- Validate your professional skills through the Google Cloud Professional Machine Learning Engineer PMLE certification.
- Develop MLOps skills for automated and secure deployments.
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.
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 Data Pipelines (practical labs on console)
Discover the basics of machine learning engineering on Google Cloud through Vertex AI and AutoML. Dive into practical labs to ingest data with BigQuery, train models with real datasets, and automate workflows. Explore real business cases using these tools to scale ML projects, with interactive exercises on the Google Cloud console for full immersion over 7 hours.
Module 2Deployment and MLOps on Google Cloud: Kubeflow, TensorFlow Extended, and Monitoring (advanced exercises)
Dive into deploying ML models in production with Kubeflow Pipelines and TensorFlow Extended. Complete labs to orchestrate MLOps workflows, integrate Cloud Run and Artifact Registry, and monitor with Cloud Monitoring. Through real optimization cases in enterprises, develop practical skills on the console to manage scalability and security of ML applications over 7 intensive hours.
Module 3Intensive PMLE Exam Preparation: Practice QCMs, Strategic Review, and Simulations (certification focus)
Dedicate this day to targeted PMLE exam preparation with over 200 practice QCMs modeled on the official exam. Review key topics like ML architectures, MLOps, and troubleshooting through timed simulations. Benefit from exclusive exam strategies, personalized feedback, and console review labs to maximize your chances of passing the Google Cloud certification over 7 decisive hours.
Evaluation method
- Interactive quizzes at the end of each day to validate learning outcomes.
- Practical ML deployment project on Google Cloud evaluated by the trainer.
- Full PMLE exam simulation with scoring and personalized debriefing.
- Training certificate and post-training follow-up for certification.
Learning method
- 70% practical / 30% theory methodology with labs on the Google Cloud console.
- Real-world case studies from leading ML companies.
- Unlimited access to resources (QCMs, slides, session replays) for 6 months.
- Individualized remote pedagogical support via Zoom and Slack.
Methods, materials and delivery
The Google Cloud Professional Machine Learning Engineer PMLE Training - Earn Your Certification in 3 Days, May 2026 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 Google Cloud Professional Machine Learning Engineer PMLE Training - Earn 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 Google Cloud Professional Machine Learning Engineer PMLE Training - Earn 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
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.
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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FAQ
Frequently asked questions
How much does the Google Cloud Professional Machine Learning Engineer PMLE Training - Earn Your Certification in 3 Days, May 2026 training cost?+
The individual price is $3,465 (USD). A detailed quote is sent within one business day.
How long is the Google Cloud Professional Machine Learning Engineer PMLE Training - Earn Your Certification in 3 Days, May 2026 training?+
The training lasts 3 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Experience in machine learning (at least 3 years), solid knowledge of Google Cloud (recommended: Associate Cloud Engineer or Professional Data Engineer certification), proficiency in Python, TensorFlow/Keras, and MLOps concepts.
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
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