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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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The Training Google Cloud Professional Machine Learning Engineer PMLE - Obtain Your Certification in 3 Days April 2026 training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training Google Cloud Professional Machine Learning Engineer PMLE - Obtain Your Certification in 3 Days April 2026 training, Learni provides the following teaching resources:
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The assessment of skills acquired during the Training Google Cloud Professional Machine Learning Engineer PMLE - Obtain Your Certification in 3 Days April 2026 training is carried out through:
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Discover the pillars of the PMLE role with an immersion in Vertex AI for model training and tuning. Practice labs on the Google Cloud console to architect ML workflows, manipulate datasets with BigQuery ML, and integrate TensorFlow Extended (TFX). Through real business cases, learn to design scalable solutions tailored to business needs, with 7 hours of intensive practice to anchor fundamental concepts.
Dive into MLOps practices with Kubeflow to orchestrate ML CI/CD pipelines. Configure feature engineering via Vertex Feature Store, deploy models with Vertex AI Endpoints, and optimize inference in production. Practical exercises on Google Cloud console simulate real scenarios like customer personalization or fraud detection, strengthening your skills for robust and monitored deployments (7 hours hands-on).
Decisive day dedicated to PMLE exam success: targeted review of the 6 official domains (framing, architecting, data, modeling, orchestration, monitoring). Tackle 200+ timed mock MCQs, analyze errors with expert feedback, and master exam strategies (time management, Google traps). Final labs consolidate everything via real cases, with exam voucher and post-training plan for guaranteed certification in April 2026.
Target audience
IT professionals aiming for the Google Cloud Professional Machine Learning Engineer (PMLE) certification: cloud administrators, solution architects, ML developers, cloud engineers, DevOps, and data scientists seeking to validate their Machine Learning skills on Google Cloud to boost their career.
Prerequisites
Google Cloud Associate Cloud Engineer certification recommended. Solid knowledge of Python, Machine Learning (TensorFlow, scikit-learn), and Google Cloud Platform (GCP) basics. Practical experience in ML development and model deployment.
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