Cloud & Infrastructure

Google Cloud

The Google Cloud track covers fundamentals, architecture and engineering, networking and security, data engineering and analytics, application development and AI, from first steps to advanced design. It prepares you for the Associate Cloud Engineer and Professional Data Engineer certifications, in Damascus, live online or privately for your team.

45Courses

2Certifications

Architect and run workloads on Compute Engine, Google Kubernetes Engine and hybrid infrastructure with Anthos.

Build batch data pipelines that turn raw data into analytics your teams can trust.

Create AI agents and conversational experiences with Gemini, Dialogflow CX and CX Agent Studio.

Fundamentals

Foundation

Google Cloud Fundamentals: Core Infrastructure

Google Cloud

Google Cloud

Fundamentals

Google Cloud Fundamentals: Core Infrastructure

Google Cloud Big Data and Machine Learning Fundamentals

Getting Started with Google Kubernetes Engine

AI and Machine Learning

Prompt-a-Thon for Google Gemini: From Idea to Solution

AI Fundamentals with Prompt-a-Thon - Google Gemini & Google Workspace Edition

Empower Decision Makers with Generative AI (GC-EDMGAI)

Gemini for Google Workspace (GC-GGW)

Generative AI Leader (GC-GAIL)

Introduction to AI and Machine Learning on Google Cloud

Introduction to Developer Efficiency with Gemini on Google Cloud (GC-INTRO-DEG)

Vertex AI and Generative AI Security (GC-VAIGAS)

Vertex AI for Machine Learning Practitioners (GC-VERT-AI-ML)

Architecture and Engineering

Architecting with Google Compute Engine

Architecting with Google Kubernetes Engine (GKE)

Architecting with Google Cloud: Design and Process

Getting Started with Terraform for Google Cloud (GC-TERRA)

Logging, Monitoring, and Observability in Google Cloud (GC-LMNOP)

Networking and Security

Security in Google Cloud Platform

Networking in Google Cloud v3.0 (GC-NET-3)

Data Engineering and Analytics

Data Engineering on Google Cloud Platform

Application Development

Developing Applications with Google Cloud

Developing Applications with Cloud Functions on Google Cloud

More in Google Cloud

AI Agent Essentials on Google Cloud

Gemini Enterprise and Gemini Notebook Essentials for Business Users

Introduction to Responsible AI in Practice

Agent Operations on Google Cloud

Agentic Infrastructure for the Autonomous Enterprise on Google Cloud

Build Agents with CX Agent Studio in Google Cloud

Build Batch Data Pipelines on Google Cloud

Building Your AI Center of Excellence on Google Cloud

Change Management for an AI Mindset on Google Cloud

Customer Experiences with Contact Center AI - Dialogflow CX

Customer Experiences with Contact Center AI - Dialogflow ES

Data Warehousing w/ BigQuery: Storage Design, Query Optimization, Administration (GC-DWB-SQA)

Deploy Multi-Agent Systems with Agent Development Kit and Agent Engine

Develop Conversational Agents on Google Cloud (GC-CAGC)

Developing Data Models with LookML (GC-DDM-LOOK)

Generative AI in Production

Managing a Data Mesh with Knowledge Catalog (GC-DM-DPX)

Migrating Teradata Users to BigQuery

Model Armor: Securing AI Deployments

Text Generation for Applications Using Gen AI Studio

Vertex AI Model Garden

Writing Effective Prompts for Generative AI (GC-WEP-GENAI-CS-FR)

Architecting Hybrid Cloud Infrastructure with Anthos

Certifications

Google Associate Cloud Engineer (ACE)

Google Cloud Professional Data Engineer (PDE)

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