Google Cloud Utbildning
Som Google Cloud Utbildningspartner tillhandahåller vi nödvändig kunskap för att utveckla och driva infrastrukturer och applikationer i Google Cloud.
Certifiering
Google Cloud Utbildning och Inlärningsvägar
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Google Cloud Training and Learning Paths (Download PDF)
Digital Leadership Training
Training path for cloud executives
- Cloud Digital Leader (CDL)
- Data-Driven Transformation with Google Cloud (DDTGC)
- Leading Change When Moving to Google Cloud (LCWMGC)
- Managing Machine Learning projects with Google Cloud (MMLPGC)
- Getting Started with FinOps on Google Cloud Course - NonTech (GSFO-NT)
- Getting Started with FinOps on Google Cloud Course - TechEng (GSFO-TE)
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 Kubernetes Engine (AGKE)
- Google Cloud Certified Associate Cloud Engineer Packet (GC-ACE-PACK)
- Architecting with Google Cloud: Design and Process (AGCP-DP)
- Google Cloud Certified Professional Cloud Architect Packet (GC-PCA-PACK)
- Networking in Google Cloud Platform (NGCP)
- Security in Google Cloud (SGCP-3D)
- Logging, Monitoring, and Observability in Google Cloud (LMOGC)
- Enterprise Database Migration (EDM)
- Getting Started with Terraform for Google Cloud (GSTGC)
- NEW Chronicle SIEM Fundamentals (CSIEMF)
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)
- Google Cloud Certified Professional Data Engineer Packet (GC-PDE-PACK)
- Advanced Machine Learning with TensorFlow on Google Cloud Platform (MLTF)
- Analyzing and Visualizing Data with Looker (AVDL)
- Developing Data Models with LookML (DDMLML)
- Serverless Data Processing with Dataflow (SDPF)
- Machine Learning on Google Cloud (MLGC)
- Customer Experiences with Contact Center AI - Dialogflow ES (CCAIDES)
- Customer Experiences with Contact Center AI - Dialogflow CX (CCAIDCX)
- Data Warehousing with BigQuery: Storage Design, Query Optimization, and Administration (DWBQ-SDQA)
- Understanding Cloud Spanner (UCS)
- Migrating Snowflake Users to BigQuery (MSUBQ)
- Migrating Amazon Redshift Users to BigQuery (MARUBQ)
- Looker Developer Deep Dive (LDDD)
- Vertex AI Model Garden (VAMG)
- Introduction to Responsible AI in Practice (IRAP)
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 (DAGCP)
- Getting Started with Google Kubernetes Engine (GCP-GSGKE)
- Architecting with Google Kubernetes Engine (AGKE)
- Application Development with Cloud Run (ADCR)
- Text Generation for Applications using Gen AI Studio (TGAGAS)
- Interactive Chat for Applications using Gen AI Studio (ICAGAS)
Apigee Training
Training path for cloud API engineers