Google Cloud Training
As Google Cloud Training Partner we provide the necessary skills to develop and operate infrastructures and applications in the Google Cloud.
Google Cloud Training and Learning Tracks
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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)
- Architecting with Google Cloud: Design and Process (AGCP-DP)
- 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)
- 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)
- 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
לחץ על שם העיר או על "הדרכה מקוונת" להזמנה. The next Google Cloud guaranteed course dates
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Developing Applications with Google Cloud
שפת קורס: אנגלית
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הדרכה מקוונת Time zone: שעון קיץ מרכז אירופה |