Infrastructure Modernization
Architecture & Engineering
- Getting Started with Terraform for Google Cloud (GSTGC)
- Introduction to Data Engineering on Google Cloud (IDEG)
- Architecting with Google Compute Engine (AGCE)
- Architecting with Google Kubernetes Engine (AGKE)
- Architecting with Google Cloud: Design and Process (AGCP-DP)
- Google Cloud Infrastructure for AWS Professionals (GCIAWSP)
- Google Cloud Infrastructure for Azure Professionals (GCIAP)
Google Sparks
- AlloyDB Essentials (ADBE)
- Google Kubernetes Engine for Developers - Essentials (GKEDE)
- Essentials of Monitoring Critical Systems (EMCS)
- Gemini Code Assist - Essentials (GCAE)
- Google AI Integration for Sales (GAIISE)
- Google AI Integration for Financial Services (GAIIFSIE)
- Google AI Integration for Human Resources (GAIIHRE)
- Google AI Integration for Marketing (GAIIME)
- Google AI Integration for Operations (GAIOE)
- Industry Use Cases for Generative AI (IUCGAI)
- Introduction to Generative AI for Decision Makers (GAIDM)
- Writing Effective Prompts for Generative AI (WEPGAI)
- Security Command Center Enterprise - Essentials (SCCEE)
- NEU Agentic AI Governance Essentials (AAIGE)
- NEU Cybersecurity Essentials in Google Cloud (CEGC)
Smart Analytics and Data Management
Data Engineering
- Introduction to AI and Machine Learning on Google Cloud (AIMLGC)
- 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)
- Orchestrate BigQuery Workloads with Dataform (OBWD)
- Managing a Data Mesh with Dataplex (MDMD)
- Workflow Orchestration with Cloud Composer (WOCC)
Data Analysis
- Introduction to Data Analytics on Google Cloud (IDAGC)
- BigQuery for Data Analysts (BQDA)
- Serverless Data Processing with Dataflow (SDPF)
- Analyzing and Visualizing Data in Looker (AVDL)
- Looker Developer Deep Dive (LDDD)
- Logging, Monitoring, and Observability in Google Cloud (LMOGC)
- Developing Data Models with LookML (DDMLML)
Machine Learning and AI
AI & Data Science
- Introduction to AI and Machine Learning on Google Cloud (AIMLGC)
- 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 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 on Google Cloud (IDEGC)
- Application Development with LLMs on Google Cloud (ADLGC)
- Vertex AI for Machine Learning Practitioners (VAIMLP)
- Empower Decision Makers with Generative AI (EDMGA)
- Generative AI in Production (GAIP)
- Gemini for Google Workspace (GGW)
- Deploy Multi-Agent Systems with Agent Development Kit and Agent Engine (DMASADKAE)
- Vertex AI and Generative AI Security (VAIGAS)
- Generative AI Leader (GAIL)
- Preparing for Professional Machine Learning Engineer (GCPMLE)
- Develop Conversational Agents on Google Cloud (DCAGC)
- Google AI Integration for Legal (GAIIL)
- Introduction to Vertex AI Search for Commerce (IVSC)
- Gemini in BigQuery for Data Practitioners (GBQDP)
- NEU Identify Agentic AI Use Cases (IAAUC)
- NEU Strategic Leadership for Agentic AI Transformation (SLAAT)
- NEU Agent Operations on Google Cloud (AOPGC)
- NEU Build Production-Ready Agents on Google Cloud (BPRAGC)