Google Cloud Training
Programas de Treinamento
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- » Cloud Infrastructure Track
- » Data & Machine Learning Track
- » Application Development Track
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- » Security
- » Data Analysis
- » Data Engineering
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- » Development
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- » Apigee
- » Miscellaneous
- » Fundamentals Courses
- » Google Sparks
- » Architecture & Engineering
- » Networking & Security
- » DevOps
- » Application Development
- » Apigee
- » Data Analysis
- » Data Engineering
- » AI & Data Science
- » Contact Center Engineer
- » Digital Leadership & Business Training
- » Google Business & Management Tools
Google Cloud
- Architecting with Google Kubernetes Engine (AGKE)
- Managing Google Cloud's Apigee API Platform for Hybrid Cloud (T-APIHYB-B)
- Serverless Data Processing with Dataflow (SDPF)
- Cloud Digital Leader (CDL)
- Advanced Machine Learning with TensorFlow on Google Cloud Platform (MLTF)
- Security in Google Cloud (SGCP-3D)
- UPDATED Analyzing and Visualizing Data in Looker (AVDL)
- Customer Experiences with Contact Center AI - Dialogflow CX (CCAIDCX)
- Architecting with Google Cloud: Design and Process (AGCP-DP)
- Networking in Google Cloud (NGCP)
- Developing APIs with Google Cloud's Apigee API platform (T-APIENG-B)
- Application Development with Cloud Run (ADCR)
- Getting Started with Google Kubernetes Engine (GCP-GSGKE)
- Architecting with Google Compute Engine (AGCE)
- Logging, Monitoring, and Observability in Google Cloud (LMOGC)
- UPDATED Developing Data Models with LookML (DDMLML)
- Developing Applications with Google Cloud (DAGCP)
- UPDATED Data Engineering on Google Cloud Platform (DEGCP)
- Google Cloud Fundamentals: Core Infrastructure (GCF-CI)
Cloud Infrastructure Track
- Google Cloud Certified Associate Cloud Engineer Packet (GC-ACE-PACK)
- Enterprise Database Migration (EDM)
- Google Cloud Fundamentals: Core Infrastructure (GCF-CI)
- Networking in Google Cloud (NGCP)
- Security in Google Cloud (SGCP-3D)
- Google Cloud Certified Professional Cloud Architect Packet (GC-PCA-PACK)
- Getting Started with Terraform for Google Cloud (GSTGC)
- Logging, Monitoring, and Observability in Google Cloud (LMOGC)
- Architecting with Google Cloud: Design and Process (AGCP-DP)
- Architecting with Google Compute Engine (AGCE)
- Architecting with Google Kubernetes Engine (AGKE)
Data & Machine Learning Track
- UPDATED Developing Data Models with LookML (DDMLML)
- Understanding Cloud Spanner (UCS)
- Migrating Snowflake Users to BigQuery (MSUBQ)
- Customer Experiences with Contact Center AI - Dialogflow CX (CCAIDCX)
- Google Cloud Certified Professional Data Engineer Packet (GC-PDE-PACK)
- Serverless Data Processing with Dataflow (SDPF)
- Vertex Forecasting and Time Series in Practice (VFTSP)
- UPDATED Analyzing and Visualizing Data in Looker (AVDL)
- Data Warehousing with BigQuery: Storage Design, Query Optimization, and Administration (DWBQ-SDQA)
- Looker Developer Deep Dive (LDDD)
- UPDATED Data Engineering on Google Cloud Platform (DEGCP)
- Advanced Machine Learning with TensorFlow on Google Cloud Platform (MLTF)
Google Cloud Tailored Workshops
- Understanding Google cloud Platform (GCW-UGCP)
- Build a Business Transformation Vision with Google Cloud (GCW-BBTV)
- Google Cloud Platform Fundamentals for Azure Professionals (GCW-F4AP)
- Google Cloud Fundamentals: Core Infrastructure (GCW-FCI)
- Exam Preparation: Data Management and Storage (GCW-DMS)
- Exam Preparation: From IaaS to Serverless (GCW-FI2S)
- Hybrid Cloud with Google Cloud Platform (GCW-HCGCP)
- Secure Environment on GCP (GCW-SE)
- Artificial Intelligence on GCP (GCW-AI)
- Serverless Machine Learning with Tensorflow on GCP (GCW-SMLT)
- Serverless Data Analysis with Google BigQuery and Cloud (GCW-SDAGBC)
- Building Resilient Streaming Systems on GCP (GCW-BRSS)
- Introducción a Google Kubernetes Engine (GCW-IGKE)
- Google Cloud Certification Workshop: Cloud Architect (GCCW-CA)
Fundamentals Courses
- Google Cloud Fundamentals for Researchers (GCFR)
- Google Cloud Fundamentals: Core Infrastructure (GCF-CI)
Google Sparks
- Industry Use Cases for Generative AI (ICGAI)
- Google AI Integration for Operations (GAIOE)
- Gemini Code Assist - Essentials (GCAE)
- Essentials of Monitoring Critical Systems (EMCS)
- Security Command Center Enterprise - Essentials (SCCEE)
- Google AI Integration for Legal (GAIIL)
- NOVO Google AI Integration for General Workflows (GAIIGW)
- NOVO Gemini Enterprise Essentials for Business and Power Users (GANLME-BU)
- NOVO Agent Observability on Google Cloud (AOGC)
- NOVO AI Fluency for Enterprise Leaders (AIFEL)
- NOVO Drug Discovery Essentials on Google Cloud (DDEGC)
- NOVO Google Workspace Studio: Automating Collaboration (GWSAC)
- Google Kubernetes Engine for Developers - Essentials (GKEDE)
- AlloyDB Essentials (ADBE)
- Writing Effective Prompts for Generative AI (WEPGAI)
- Introduction to Generative AI for Decision Makers (GAIDM)
- Productivity with Gemini for Google Workspace - Essentials (PGGWE)
- Automation with Gemini for Google Workspace - Essentials (AGGWE)
- Google AI Integration for Sales - Intermediate (GAIISE2)
- Google AI Integration for Sales (GAIISE)
- Google AI Integration for Financial Services (GAIIFSIE)
- Google AI Integration for Human Resources (GAIIHRE)
- Google AI Integration for Human Resources - Intermediate (GAIIHRE2)
- Google AI Integration for Marketing (GAIIME)
- NOVO Enterprise AI Governance Essentials for Everyone (EAGEE)
Infrastructure Modernization
Architecture & Engineering
- Architecting with Google Cloud: Design and Process (AGCP-DP)
- Google Cloud Infrastructure for Azure Professionals (GCIAP)
- Google Cloud Infrastructure for AWS Professionals (T4H-GCIAWSP)
- Getting Started with Terraform for Google Cloud (GSTGC)
- Architecting with Google Compute Engine (AGCE)
- Architecting with Google Kubernetes Engine (AGKE)
Smart Analytics and Data Management
Data Analysis
- Looker Developer Deep Dive (LDDD)
- Logging, Monitoring, and Observability in Google Cloud (LMOGC)
- Introduction to Data Analytics on Google Cloud (IDAGC)
- Orchestrate BigQuery Workloads with Dataform (OBWD)
- Serverless Data Processing with Dataflow (SDPF)
- UPDATED Analyzing and Visualizing Data in Looker (AVDL)
- UPDATED Developing Data Models with LookML (DDMLML)
Data Engineering
- Introduction to Data Engineering on Google Cloud (IDEG)
- Managing a Data Mesh with Knowledge Catalog (MDMD)
- UPDATED Data Engineering on Google Cloud Platform (DEGCP)
- Migrating Snowflake Users to BigQuery (MSUBQ)
- Smart Analytics, Machine Learning, and AI on Google Cloud (SAMLAI)
- Understanding Cloud Spanner (UCS)
- Enterprise Database Migration (EDM)
- Data Warehousing with BigQuery: Storage Design, Query Optimization, and Administration (DWBQ-SDQA)
- Data Integration with Cloud Data Fusion (DICDF)
Machine Learning and AI
AI & Data Science
- NOVO Introduction to Vertex AI Search for Commerce (IVSC)
- NOVO Gemini in BigQuery for Data Practitioners (GBQDP)
- NOVO Introduction to Gemini Enterprise (IGA)
- Preparing for Professional Machine Learning Engineer (GCPMLE)
- UPDATED Generative AI in Production (GAIP)
- NOVO Develop Search and Agents with AI Applications (DSAA)
- Preparing for Professional Machine Learning Engineer (PPMLE)
- Develop Conversational Agents on Google Cloud (DCAGC)
- Generative AI Leader (GAIL)
- Industry Use Cases for Generative AI (IUCGAI)
- Data Warehousing with BigQuery: Storage Design, Query Optimization, and Administration (DWBQ-SDQA)
- Application Development with LLMs on Google Cloud (ADLGC)
- Empower Decision Makers with Generative AI (EDMGA)
- Advanced Machine Learning with TensorFlow on Google Cloud Platform (MLTF)
- UPDATED Introduction to AI and Machine Learning on Google Cloud (AIMLGC)
- Writing Effective Prompts for Generative AI (WEPGAI)
- Vertex Forecasting and Time Series in Practice (VFTSP)
- Vertex AI Agent Builder (VAISC)
- Vertex AI for Machine Learning Practitioners (VAIMLP)
- Introduction to Developer Efficiency on Google Cloud (IDEGC)
- Introduction to Generative AI for Decision Makers (GAIDM)