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
Enterprise Training
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
Fundamentals Training
Infrastructure Modernization Training
Architecture & Engineering
Networking & Security
Application Modernization Training
Application Development
Smart Analytics & Data Management Training
Data Engineering
- Building Batch Data Pipelines on Google Cloud (BBDP)
- Building Resilient Streaming Analytics Systems on Google Cloud (BRSAS)
- Google Cloud Fundamentals: Big Data and Machine Learning (GCF-BDM)
- Modernizing Data Lakes and Data Warehouses with Google Cloud (MDLDW)
- Smart Analytics, Machine Learning, and AI on Google Cloud (SAMLAI)
- Data Engineering on Google Cloud Platform (DEGCP)
- Enterprise Database Migration (EDM)
- Data Warehousing with BigQuery: Storage Design, Query Optimization, and Administration (DWBQ-SDQA)
- Migrating Snowflake Users to BigQuery (MSUBQ)
- Migrating Amazon Redshift Users to BigQuery (MARUBQ)
- Understanding Cloud Spanner (UCS)
- NEW Orchestrate BigQuery Workloads with Dataform (OBWD)
- NEW Managing a Data Mesh with Dataplex (MDMD)
Data Analysis
- NEW Introduction to Data Analytics on Google Cloud (IDAGC)
- From Data to Insights with Google Cloud Platform (DIGCP)
- Serverless Data Processing with Dataflow (SDPF)
- Analyzing and Visualizing Data with Looker (AVDL)
- Looker Developer Deep Dive (LDDD)
- Logging, Monitoring, and Observability in Google Cloud (LMOGC)
- Developing Data Models with LookML (DDMLML)
Machine Learning & AI Training
AI & Data Science
- Google Cloud Fundamentals: Big Data and Machine Learning (GCF-BDM)
- Machine Learning on Google Cloud (MLGC)
- Advanced Machine Learning with TensorFlow on Google Cloud Platform (MLTF)
- Data Warehousing with BigQuery: Storage Design, Query Optimization, and Administration (DWBQ-SDQA)
- Vertex Forecasting and Time Series in Practice (VFTSP)
- Introduction to AI and Machine Learning on Google Cloud (AIMLGC)
- Introduction to Responsible AI in Practice (IRAP)
- Industry Use Cases for Generative AI (IUCGAI)
- Writing Effective Prompts for Generative AI (WEPGAI)
- Introduction to Generative AI for Decision Makers (GAIDM)
- Introduction to Developer Efficiency with Gemini on Google Cloud (IDEGC)
- Application Development with LLMs on Google Cloud (ADLGC)
- Vertex AI Agent Builder (VAISC)
- NEW Vertex AI for Machine Learning Practitioners (VAIMLP)
- NEW Empower Decision Makers with Generative AI (EDMGA)
- NEW Data Warehousing for Partners (DWP)
Google Business & Management Tools
Google Cloud Training Miscellaneous
- Cloud Digital Leader (CDL)
- Getting Started with Google Workspace (GSGW)
- 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 - TechEng (GSFO-TE)
- Getting Started with FinOps on Google Cloud Course - NonTech (GSFO-NT)
- NEW Getting Started with FinOps on Google Cloud (GSFGC)
- NEW Technical Foundations of FinOps on Google Cloud (TFFGC)
Click on town name or "Online Training" to book The next Google Cloud guaranteed course dates
| LMOGC | Logging, Monitoring, and Observability in Google Cloud Course language: English |
Zurich
Enroll for classroom training Enroll for online training |
|
| SGCP-3D | Security in Google Cloud Course language: English |
Zurich
Enroll for classroom training Enroll for online training |
This class will become guaranteed to run with one more student registration.
FLEX Classroom Training (hybrid course):
Course participation either on-site in the classroom or online from the workplace or from home.