Google Cloud Training
Programas de Entrenamiento
- » Google Cloud
- » Cloud Infrastructure Track
- » Data & Machine Learning Track
- » Application Development Track
- » Google Cloud Tailored Workshops
- » Google Cloud Certification Workshops
- » Networking
- » Security
- » Data Analysis
- » Data Engineering
- » Data Science
- » Application Development
- » Development
- » DevOps
- » Apigee
- » Miscellaneous
- » Fundamentals Courses
- » 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
- Machine Learning on Google Cloud (MLGC)
- Customer Experiences with Contact Center AI - Dialogflow ES (CCAIDES)
- Preparing for the Professional Cloud Architect Examination (PPCAE)
- 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)
- Analyzing and Visualizing Data with Looker (AVDL)
- Customer Experiences with Contact Center AI - Dialogflow CX (CCAIDCX)
- Architecting with Google Cloud: Design and Process (AGCP-DP)
- Networking in Google Cloud Platform (NGCP)
- Architecting Hybrid Cloud Infrastructure with Anthos (T-AHYBRID-I)
- 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)
- Developing Data Models with LookML (DDMLML)
- Preparing for the Professional Data Engineer Examination (PPDEE)
- Preparing for the Associate Cloud Engineer Examination (PPACE)
- Developing Applications with Google Cloud (DAGCP)
- Data Engineering on Google Cloud Platform (DEGCP)
- From Data to Insights with Google Cloud Platform (DIGCP)
- 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 Platform (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)
- Architecting Hybrid Cloud Infrastructure with Anthos (T-AHYBRID-I)
- Preparing for the Associate Cloud Engineer Examination (PPACE)
- Preparing for the Professional Cloud Architect Examination (PPCAE)
Data & Machine Learning Track
- Customer Experiences with Contact Center AI - Dialogflow ES (CCAIDES)
- Developing Data Models with LookML (DDMLML)
- Understanding Cloud Spanner (UCS)
- Migrating Snowflake Users to BigQuery (MSUBQ)
- Machine Learning on Google Cloud (MLGC)
- Customer Experiences with Contact Center AI - Dialogflow CX (CCAIDCX)
- Introduction to Responsible AI in Practice (IRAP)
- Google Cloud Certified Professional Data Engineer Packet (GC-PDE-PACK)
- Serverless Data Processing with Dataflow (SDPF)
- Vertex Forecasting and Time Series in Practice (VFTSP)
- Migrating Amazon Redshift Users to BigQuery (MARUBQ)
- Analyzing and Visualizing Data with Looker (AVDL)
- Data Warehousing with BigQuery: Storage Design, Query Optimization, and Administration (DWBQ-SDQA)
- Looker Developer Deep Dive (LDDD)
- 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)
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)
Smart Analytics and Data Management
Data Analysis
- Looker Developer Deep Dive (LDDD)
- Logging, Monitoring, and Observability in Google Cloud (LMOGC)
- NUEVO Introduction to Data Analytics on Google Cloud (IDAGC)
- NUEVO Orchestrate BigQuery Workloads with Dataform (OBWD)
- Serverless Data Processing with Dataflow (SDPF)
- Analyzing and Visualizing Data with Looker (AVDL)
- From Data to Insights with Google Cloud Platform (DIGCP)
- Developing Data Models with LookML (DDMLML)
Data Engineering
- Building Batch Data Pipelines on Google Cloud (BBDP)
- NUEVO Introduction to Data Engineering on Google Cloud (IDEG)
- Migrating Amazon Redshift Users to BigQuery (MARUBQ)
- Managing a Data Mesh with Dataplex (MDMD)
- Data Engineering on Google Cloud Platform (DEGCP)
- Building Resilient Streaming Analytics Systems on Google Cloud (BRSAS)
- Modernizing Data Lakes and Data Warehouses with Google Cloud (MDLDW)
- NUEVO Data Warehousing for Partners (DWP)
- Migrating Snowflake Users to BigQuery (MSUBQ)
- Smart Analytics, Machine Learning, and AI on Google Cloud (SAMLAI)
- Understanding Cloud Spanner (UCS)
- Enterprise Database Migration (EDM)
- Preparing for the Professional Data Engineer Examination (PPDEE)
- 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
- Introduction to Responsible AI in Practice (IRAP)
- 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)
- NUEVO Empower Decision Makers with Generative AI (EDMGA)
- Advanced Machine Learning with TensorFlow on Google Cloud Platform (MLTF)
- 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)
- NUEVO Vertex AI for Machine Learning Practitioners (VAIMLP)
- Machine Learning on Google Cloud (MLGC)
- Introduction to Developer Efficiency with Gemini on Google Cloud (IDEGC)
- Introduction to Generative AI for Decision Makers (GAIDM)