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Training Google Cloud Professional Machine Learning Engineer PMLE - Obtain Your Certification in 3 Days, May 2026
Learning objectives
- Master Google Cloud services for Machine Learning such as Vertex AI and AutoML to implement professional solutions.
- Effectively prepare for the PMLE certification exam by validating all required skills.
- Configure and optimize end-to-end Machine Learning pipelines on Google Cloud.
- Deploy ML models in production with MLOps and integrated monitoring.
- Validate your professional skills to obtain the Google Cloud Professional Machine Learning Engineer certification.
- Implement scalable and secure ML architecture strategies on the Google Cloud platform.
- Pass the PMLE exam through intensive preparation and realistic practice quizzes.
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, TensorFlow, and AutoML (hands-on console labs)
Discover the basics of being a Machine Learning Engineer on Google Cloud with an immersion in Vertex AI to design ML workflows. Participate in hands-on labs on the Google Cloud console to train models with AutoML and TensorFlow, exploring real-world data optimization cases. Learn to integrate BigQuery for preprocessing and scale your pipelines, while acquiring essential skills for the PMLE exam in an interactive and educational environment.
Module 2MLOps Implementation and Deployment: Kubeflow, Vertex Pipelines, and Monitoring (advanced exercises)
Dive into implementing production-ready ML pipelines with Vertex Pipelines and Kubeflow on Google Cloud. Perform practical labs to deploy containerized models via Cloud Run and GKE, integrating monitoring with Vertex AI and feature engineering strategies. Address real business cases to optimize performance and security, developing skills directly applicable to the PMLE certification and professional projects.
Module 3Intensive PMLE Exam Preparation: Practice Quizzes, Strategic Review, and Simulations (certification focus)
Dedicate this day to targeted preparation to pass the Google Cloud Professional Machine Learning Engineer exam. Complete timed practice quizzes identical to the official exam, review key topics such as MLOps, ML architecture, and troubleshooting, and master response strategies. With personalized feedback and review labs on the console, consolidate your knowledge to validate the certification at the end of the training, immediately boosting your CV.
Evaluation method
- Continuous evaluation through practical labs and exercises on the Google Cloud console.
- Practice quizzes and PMLE exam simulations to measure skill mastery.
- Interactive quizzes and real-time personalized feedback.
- Qualiopi training certificate and recognized certification preparation.
Learning method
- Hands-on pedagogical methods with 70% practice on the Google Cloud console.
- Real labs on Vertex AI, Kubeflow, and MLOps pipelines.
- Case studies from leading companies using Google Cloud ML.
- Live support from certified PMLE experts.
Methods, materials and delivery
The Training Google Cloud Professional Machine Learning Engineer PMLE - Obtain 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 - Obtain 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 - Obtain 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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