Google Cloud Platform is one of the three leading public clouds, especially recognised for its data and artificial intelligence services. Mastering GCP and earning its certifications is a strong asset for data, cloud and DevOps professionals.
At MFE-IT, we offer progressive, hands-on Google Cloud training courses, from the fundamentals through to professional certifications. Whether you are a beginner or already familiar with the cloud, our paths adapt to your profile and your goals. All our training courses run remotely, in small groups of 1 to 3 participants, with sessions guaranteed from a single registrant.
Our training courses cover:
Cloud fundamentals and certification preparation: Cloud Digital Leader, Associate Cloud Engineer, Professional Cloud Architect, Professional Data Engineer and Professional ML Engineer
Core GCP services: Compute Engine, Cloud Storage, GKE (Google Kubernetes Engine), BigQuery, Vertex AI
Architecture, security and networking: IAM, Cloud Security Engineer, Cloud Network Engineer
DevOps and reliability: CI/CD, automation and SRE practices (Cloud DevOps Engineer)
Data and Big Data: engineering, analytics and data warehousing with BigQuery
Artificial intelligence and machine learning with Vertex AI, through to MLOps industrialisation, and driving adoption with Generative AI Leader
Need help choosing? Read our guide Which Google Cloud training course to choose?.
Big Data and Machine Learning fundamentals on Google Cloud.
Understand the value of the cloud and Google Cloud technologies. No prerequisites.
Deploy and operate solutions on Google Cloud.
Design scalable, secure and resilient cloud architectures.
Design and operationalise data processing systems.
Lead enterprise adoption of generative AI with Google Cloud.
Secure infrastructure and data on Google Cloud.
CI/CD, automation, reliability and SRE practices on Google Cloud.
Partitioning, clustering, nested STRUCT/ARRAY fields, materialised views and cost optimisation on BigQuery.
Design and manage connectivity and networking on Google Cloud.
Industrialise your models on Vertex AI: Feature Store, MLOps pipelines, deployment, drift monitoring, explainability.
Autopilot vs Standard, VPC-native networking, Workload Identity, autoscaling, Gateway API and Binary Authorization on GKE.
Databases, data and Business Intelligence to make the most of your data.
AI, machine learning and copilots: bring AI into your business workflows.
Web, mobile, back-end: master modern languages and frameworks.
Google Workspace and Microsoft 365: boost your day-to-day productivity.
Power BI, Power Apps, Power Automate: analyze and automate without code.
Offensive and defensive security to protect your systems and data.
Agile methods and tools to steer your IT projects effectively.
Structure, validate and certify your skills according to recognised international standards.
For every project, we offer a preliminary discussion with our experts to fully take into account your level, needs, professional context, challenges…
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