Google Cloud Training
As Google Cloud Training Partner we provide the necessary skills to develop and operate infrastructures and applications in the Google Cloud.
Certifications
Google Cloud Training and Learning Tracks
Do you have any questions about our Google Cloud training offerings? Simply let us know your requirements using our contact form or call us at +49 40 253346-10 and we will be happy to advise you!
Google Cloud Training and Learning Paths (Download PDF)
Complimentary offers for your entry to the Google Cloud
Digital Leadership & Business 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)
- NEW Modernizing Data Lakes and Data Warehouses with Google Cloud (MDLDW)
- NEW Building Batch Data Pipelines on Google Cloud (BBDP)
- NEW Building Resilient Streaming Analytics Systems on Google Cloud (BRSAS)
- NEW Smart Analytics, Machine Learning, and AI on Google Cloud (SAMLAI)
- 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)
- Vertex Forecasting and Time Series in Practice (VFTSP)
- 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
Click on town name or "Online Training" to book. The next Google Cloud guaranteed course dates
| DAGCP |
Developing Applications with Google Cloud
Course language: English
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Online Training Time zone: Central European Summer Time (CEST) |
Guaranteed date:
The course is guaranteed to run regardless of the number of participants. This excludes unforeseeable events (e.g. accident, illness of the trainer) which make it impossible to carry out the course.
Instructor-led Online Training:
Course conducted online in a virtual classroom.