Google Cloud Training
As Google Cloud Authorized Training Partner we provide the necessary skills to develop and operate infrastructures and applications in the Google Cloud.
Google Cloud Certifications
Google Cloud Training and Learning Tracks
Cloud Infrastructure Track
Designed for IT professionals who are responsible for implementing, deploying, migrating and maintaining applications in the cloud.
- Google Cloud Fundamentals: Core Infrastructure (GCF-CI)
- Architecting with Google Compute Engine (AGCE)
- Architecting with Google Cloud Platform: Design and Process (AGCP-DP)
- Google Cloud Platform Fundamentals for AWS Professionals (GCP-FAP)
- Security in Google Cloud Platform (SGCP-3D)
- Google Cloud Fundamentals for Azure Professionals (GCPAZURE)
- Architecting with Google Kubernetes Engine (AGKE)
- Logging, Monitoring, and Observability in Google Cloud (LMOGC)
- Preparing for the Associate Cloud Engineer Examination (PPACE)
- Preparing for the Professional Cloud Architect Examination (PPCAE)
- UPDATED Networking in Google Cloud Platform (NGCP)
- Preparing for Your Professional Cloud Network Engineer Journey (PYPCNEJ)
- Preparing for Your Professional Cloud Architect Journey (PYPCAJ)
- Preparing for Your Associate Cloud Engineer Journey (PYACEJ)
Data & Machine Learning Track
Designed for data professionals who are responsible for designing, building, analyzing, and optimizing big data solutions.
- Google Cloud Fundamentals: Big Data and Machine Learning (GCF-BDM)
- Data Engineering on Google Cloud Platform (DEGCP)
- From Data to Insights with Google Cloud Platform (DIGCP)
- Serverless Data Processing with Dataflow (SDPF)
- Developing Data Models with LookML (DDMLML)
- Analyzing and Visualizing Data with Looker (AVDL)
- Machine Learning on Google Cloud (MLGC)
- Customer Experiences with Contact Center AI - Dialogflow ES (CCAIDES)
- Customer Experiences with Contact Center AI - Dialogflow CX (CCAIDCX)
- NEW Data Warehousing with BigQuery: Storage Design, Query Optimization, and Administration (DWBQ-SDQA)
- Advanced Machine Learning with TensorFlow on Google Cloud Platform (MLTF)
- NEW Understanding Cloud Spanner (UCS)
Application Development Track
Designed for application programmers and software engineers who develop software programs in the cloud.
- Google Cloud Fundamentals: Core Infrastructure (GCF-CI)
- Developing Applications with Google Cloud Platform (DAGCP)
- Managing Google Cloud's Apigee API Platform for Hybrid Cloud (T-APIHYB-B)
- Developing APIs with Google Cloud's Apigee API platform (T-APIENG-B)
- Getting Started with Google Kubernetes Engine (GCP-GSGKE)
- Application Development with Cloud Run (ADCR)
- Installing and Managing Google Cloud's Apigee API Platform for Private Cloud (IMAPIPC)
- NEW Developing Applications with Cloud Functions on Google Cloud (DACFGC)
