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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 - Obtain Your Certification in 3 Days, May 2026
Learning objectives
- Master Google Cloud services for Machine Learning such as Vertex AI and AutoML.
- Prepare for and pass the Professional Machine Learning Engineer (PMLE) certification exam.
- Configure scalable ML data and training pipelines on Google Cloud.
- Implement MLOps practices to deploy models in production.
- Optimize performance and reliability of professional ML solutions.
- Validate your professional skills through practical labs and real-world cases on Google Cloud.
- Pass the PMLE exam with proven strategies and intensive mock 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, AutoML, TensorFlow (practical labs)
Dive into advanced Machine Learning basics with Google Cloud's flagship tools like Vertex AI for automated model training, AutoML for quick no-code solutions, and TensorFlow for custom developments. Participate in interactive labs on the GCP console, reproducing real business cases like customer churn prediction or image recognition, to acquire solid skills in record time.
Module 2Deployment and MLOps on Google Cloud: Vertex Pipelines, Model Serving, Kubeflow (advanced exercises)
Learn to deploy ML models in production with Vertex Pipelines to orchestrate end-to-end workflows, Model Serving for scalable serving, and Kubeflow for MLOps automation. Through practical exercises on Google Cloud console and real cases like e-commerce recommendation optimization, set up CI/CD pipelines, monitor performance, and manage model versions, while integrating BigQuery and Dataflow for massive data.
Module 3Intensive Preparation for the PMLE Exam: Mock Quizzes, Strategic Review, Simulations (certification focus)
Dedicate this day to targeted preparation for the PMLE exam with over 200 mock quizzes covering all domains (framing, architecting, data, modeling, MLOps), review of identified weak points, and proven exam strategies (time management, common pitfalls). Simulate the real exam in live conditions on Google Cloud platform, with personalized feedback to maximize your certification chances in the next session.
Evaluation method
- Continuous assessments via practical labs and exercises on Google Cloud console
- Daily thematic quizzes to validate learning
- Full PMLE exam simulation on day 3 with detailed scoring
- Interactive quizzes and individual feedback from expert trainers
Learning method
- 70% hands-on practice with labs on real Google Cloud environment
- Real-world case studies from Fortune 500 companies
- Blended method: applied theory, coaching in small groups (max 10 participants)
- Intensive exam preparation with official Google resources
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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