Cloud
Training Programs
Are You Cloud Ready? Get your Cloud platform training and certification to take advantage of the power, agility, efficiency, simplicity and cost savings of virtualized cloud infrastructure and services.
We are uniquely positioned to help you gain the cross‐vendor cloud knowledge and skills you desire.
Cloud E-Learning
Cloud Consulting
Cloud Training Programs
Do you have any questions about our training offerings? Simply let us know your requirements using our contact form or call us at 1-855-77 TRAIN and we will be happy to advise you!
AWS Cloud Training

Skill Builder Packages
AWS Bundles
AWS Essentials Training
Sales & Business Training
- AWS Cloud Practitioner Essentials (CP-ESS)
- AWS Cloud Essentials for Business Leaders (CEBL)
- Networking Essentials for Cloud Applications on AWS (NECA)
- Generative AI for Executives (GENAIEX)
- AWS Cloud Practitioner Essentials Day (AWSDD-CPE)
- AWS Discovery Day: Machine Learning Basics (AWSDD-MLB)
- AWS Discovery Day: Securing Your AWS Cloud (AWSDD-SYC)
- AWS Discovery Day: Introduction to Generative AI for Business and Technical Decision Makers (AWSDD-GAIETBDM)
- AWS Discovery Day: Introduction to Prompt Engineering (AWSDD-IPE)
- AWS Discovery Day: Understanding Your Customers with a Modern Data Strategy (AWSDD-UCMDS)
- AWS Discovery Day: Migrating Applications and Databases to AWS (AWSDD-MADA)
- AWS Discovery Day: Data Analytics Fundamentals on AWS (AWSDD-DAFA)
- AWS Discovery Day: Why Purpose Built Databases? (AWSDD-PBDB)
AWS System Architecture Training
AWS JAM DAYS
- AWS JAM - Machine Learning Engineering on AWS (MLEA-JAM)
- AWS JAM - Developing Generative AI Applications on AWS (DGAIA-JAM)
- AWS Jam - Security Engineering (AWSSO-JAM)
- Security Engineering on AWS with AWS Jam (AWSSO-AWS-JAM)
- AWS Jam - Architecting (AWSA-JAM)
- Architecting on AWS with AWS Jam (AWSA-AWS-JAM)
- AWS Jam - Developing (AWSD-JAM)
- Developing on AWS with AWS Jam (AWSD-AWS-JAM)
- AWS Jam - DevOps Engineering (AWSDEVOPS-JAM)
- DevOps Engineering on AWS with AWS Jam (AWSDEVOPS-AWS-JAM)
- AWS Jam - Advanced Developing (ADV-DEV-JAM)
- AWS Jam - Advanced Architecting (AWSAA-JAM)
- Advanced Architecting on AWS with AWS Jam (ASWAA-AWS-JAM)
- AWS Jam - Cloud Operations (AWSSYS-JAM)
- Cloud Operations on AWS (formerly Systems Operations) with AWS Jam (AWSSYS-AWS-JAM)
AWS Development Training
AWS Operations Training
AWS Specialization
Big Data and Storage Management
- NEW Data Engineering on AWS (DEAWS)
- Designing and Implementing Storage on AWS (DISTG)
- Data Warehousing on AWS (DWAWS)
- Practical Data Science with Amazon SageMaker (PDSASM)
- Building Modern Data Analytics Solutions on AWS (BMDAS)
- Building Data Lakes on AWS (BDLA)
- Building Batch Data Analytics Solutions on AWS (BBDAS)
- Building Data Analytics Solutions Using Amazon Redshift (BDASAR)
- Building Streaming Data Analytics Solutions on AWS (BSDASA)
Hackathon
- NEW Agentic AI on AWS Hackathon (AAI-HACK-AWS)
- NEW Modern Data Warehousing / Data Engineering with Databricks on AWS Hackathon (MDWDE-HACK-AWS)
- Serverless and APIs in AWS Hackathon (SAPI-HACK-AWS)
- Containers in AWS Hackathon (CTRS-HACK-AWS)
- Monitoring Cloud Application Workloads in AWS Hackathon (MTRG-HACK-AWS)
- Securing Container Workloads in AWS Hackathon (SECTY-HACK-AWS)
- AWS Cloud Ready Hackathon: Containers, Kubernetes CI & CD (AWSHCKC)
- AWS Cloud Ready Hackathon: Coding and Testing on Linux (AWSHCTL)
- AWS Cloud Ready Hackathon: Running Cloud Workloads with Kubernetes (AWSHRWK)
Machine Learning
- Generative AI Essentials on AWS (GAIE)
- NEW Advanced Generative AI Development on AWS (AGAID)
- NEW Agentic AI Foundations (AAIF)
- Machine Learning Engineering on AWS (MLEA)
- MLOps Engineering on AWS (MLOE)
- Practical Data Science with Amazon SageMaker (PDSASM)
- Amazon SageMaker Studio for Data Scientists (ASSDS)
- Developing Generative AI Applications on AWS (DGAIA)
- Generative AI for Executives (GENAIEX)
- Exam Prep: AWS Certified AI Practitioner (AIF-C01) (EPCAIP)
- Exam Prep: AWS Certified Machine Learning Engineer – Associate (MLA-C01) (EPCMLEA)
- AWS Discovery Day: Introduction to Generative AI for Business and Technical Decision Makers (AWSDD-GAIETBDM)
- AWS Discovery Day: Introduction to Prompt Engineering (AWSDD-IPE)
Google Cloud Training

Architecture & Engineering
- Google Cloud Infrastructure for AWS Professionals (GCIAWSP)
- Getting Started with Terraform for Google Cloud (GSTGC)
- Architecting with Google Compute Engine (AGCE)
- Architecting with Google Kubernetes Engine (AGKE)
- Architecting with Google Cloud: Design and Process (AGCP-DP)
- Hybrid Cloud Modernizing Applications with Anthos (HCMAA)
- Preparing for the Associate Cloud Engineer Examination (PPACE)
- Preparing for the Professional Cloud Architect Examination (PPCAE)
Networking & Security
Data Analysis
- BigQuery for Data Analysts (BQDA)
- Introduction to Data Analytics on Google Cloud (IDAGC)
- Serverless Data Processing with Dataflow (SDPF)
- Analyzing and Visualizing Data in Looker (AVDL)
- Orchestrate BigQuery Workloads with Dataform (OBWD)
- Looker Developer Deep Dive (LDDD)
- Logging, Monitoring, and Observability in Google Cloud (LMOGC)
- Developing Data Models with LookML (DDMLML)
Data Engineering
- Workflow Orchestration with Cloud Composer (WOCC)
- Introduction to Data Engineering on Google Cloud (IDEG)
- Managing a Data Mesh with Dataplex (MDMD)
- UPDATED Data Engineering on Google Cloud Platform (DEGCP)
- Preparing for the Professional Data Engineer Examination (PPDEE)
- Data Integration with Cloud Data Fusion (DICDF)
- Enterprise Database Migration (EDM)
- Data Warehousing with BigQuery: Storage Design, Query Optimization, and Administration (DWBQ-SDQA)
- Migrating Teradata Users to BigQuery (MTUBQ)
- Migrating Snowflake Users to BigQuery (MSUBQ)
- Migrating Amazon Redshift Users to BigQuery (MARUBQ)
- Understanding Cloud Spanner (UCS)
- Modernizing Data Lakes and Data Warehouses with Google Cloud (MDLDW)
- Building Batch Data Pipelines on Google Cloud (BBDP)
- Building Resilient Streaming Analytics Systems on Google Cloud (BRSAS)
- Smart Analytics, Machine Learning, and AI on Google Cloud (SAMLAI)
- Data Warehousing for Partners (DWP)
Application Development
AI & Data Science
- NEW Model Armor: Securing AI Deployments (MODARM)
- Deploy Multi-Agent Systems with Agent Development Kit and Agent Engine (DMASADKAE)
- Introduction to Gemini Enterprise (IGA)
- Develop Conversational Agents on Google Cloud (DCAGC)
- Preparing for Professional Machine Learning Engineer (PPMLE)
- Gemini for Google Workspace (GGW)
- Generative AI Leader (GAIL)
- Generative AI in Production (GAIP)
- Empower Decision Makers with Generative AI (EDMGA)
- Vertex AI and Generative AI Security (VAIGAS)
- Vertex AI Agent Builder (VAISC)
- Vertex AI for Machine Learning Practitioners (VAIMLP)
- Machine Learning on Google Cloud (MLGC)
- 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 Developer Efficiency with Gemini on Google Cloud (IDEGC)
- Application Development with LLMs on Google Cloud (ADLGC)
DevOps
Apigee
Contact Center Engineer
Google Cloud
- Google Cloud Fundamentals: Core Infrastructure (GCF-CI)
- Manage Scalable Workloads in GKE Enterprise (MSWGKE)
- Architecting with Google Cloud: Design and Process (AGCP-DP)
- UPDATED Data Engineering on Google Cloud Platform (DEGCP)
- Developing Applications with Google Cloud (DAGCP)
- Preparing for the Professional Cloud Architect Examination (PPCAE)
- Networking in Google Cloud Platform (NGCP)
- Preparing for the Professional Data Engineer Examination (PPDEE)
- Architecting with Google Compute Engine (AGCE)
- Architecting with Google Kubernetes Engine (AGKE)
- Getting Started with Google Kubernetes Engine (GCP-GSGKE)
- Preparing for the Associate Cloud Engineer Examination (PPACE)
- Security in Google Cloud (SGCP-3D)
- Logging, Monitoring, and Observability in Google Cloud (LMOGC)
- Managing Google Cloud's Apigee API Platform for Hybrid Cloud (T-APIHYB-B)
- Developing APIs with Google Cloud's Apigee API platform (T-APIENG-B)
- Machine Learning on Google Cloud (MLGC)
- Analyzing and Visualizing Data in Looker (AVDL)
- Developing Data Models with LookML (DDMLML)
- Serverless Data Processing with Dataflow (SDPF)
- Application Development with Cloud Run (ADCR)
- Customer Experiences with Contact Center AI - Dialogflow ES (CCAIDES)
- Customer Experiences with Contact Center AI - Dialogflow CX (CCAIDCX)
- Installing and Managing Google Cloud's Apigee API Platform for Private Cloud (IMAPIPC)
- Cloud Digital Leader (CDL)
Business Management Tools
- 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 (GSFGC)
- Technical Foundations of FinOps on Google Cloud (TFFGC)
Google Cloud Hackathon
- Google Cloud Ready Hackathon: Coding and Testing on Linux (GHCTL)
- Google Cloud Ready Hackathon: Running Cloud Workloads for Kubernetes (GHRWK)
- Google Cloud Ready Hackathon: Containers, Kubernetes CI & CD (GHCKC)
- Build your Agent with Gemini Enterprise (BAAS)
- Serverless and APIs in GCP Hackathon (SAPI-HACK-G)
- Containers in GCP Hackathon (CTRS-HACK-G)
- Monitoring Cloud Application Workloads in GCP Hack (MTRG-HACK-G)
- Securing Container Workloads in GCP Hackathon (SECTY-HACK-G)
- NEW GenAI Augmented Application Development Organization Workshop - Gemini Edition (GAIA-ADOW-GEM)
- AI-Powered Team Collaboration and Document Management - Google (AIP-TCDMG)
- AI-Powered Business Meetings - Google (AIP-BMG)
- AI-Powered Personal Productivity - Google (AIP-PPG)
- AI-Powered Project and Change Management - Google (AIP-PCMG)
Fundamentals
Google Sparks
- NEW Technical AI Governance Essentials – Foundations (TAIGEF)
- NEW Technical AI Governance Essentials – Optimization (TAIGEO)
- NEW Cybersecurity Essentials in Google Cloud (CEGC)
- NEW Network Security Essentials (NSE)
- NEW Enterprise AI Governance Essentials – Foundations (EAIGEF)
- NEW Enterprise AI Governance Essentials – Optimization (EAIGEO)
- AlloyDB Essentials (ADBE)
- NEW Agentic AI Governance Essentials (AAIGE)
- Google Kubernetes Engine for Developers - Essentials (GKEDE)
- Productivity with Gemini for Google Workspace - Essentials (PGGWE)
- Automation with Gemini for Google Workspace - Essentials (AGGWE)
- Essentials of Monitoring Critical Systems (EMCS)
- Gemini Code Assist - Essentials (GCAE)
- Introduction to Gemini Enterprise (IGA)
- Gemini Enterprise and NotebookLM Essentials (GANLME)
- NEW Google AI Integration for General Workflows (GAIIGW)
- Google AI Integration for Sales - Introductory (GAIISE)
- Google AI Integration for Sales - Intermediate (GAIISE2)
- Google AI Integration for Financial Services - Introductory (GAIIFSIE)
- Google AI Integration for Financial Services - Intermediate (GAIIFSIE2)
- Google AI Integration for Human Resources - Introductory (GAIIHRE)
- Google AI Integration for Human Resources - Intermediate (GAIIHRE2)
- Google AI Integration for Marketing - Introductory (GAIIME)
- Google AI Integration for Marketing - Intermediate (GAIIME2)
- Google AI Integration for Operations - Introductory (GAIOE)
- Google AI Integration for Operations - Intermediate (GAIOI)
- Google AI Integration for Legal (GAIIL)
- NEW Google AI Integration for Media and Entertainment (AIIME)
- 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)
Microsoft Cloud Training
Azure Fundamentals
Azure Administration
- Secure cloud resources with Microsoft security technologies (AZ-500T00)
- Configuring and Operating Microsoft Azure Virtual Desktop (AZ-140T00)
- Microsoft Azure Administrator (AZ-104T00)
- Microsoft Azure Administrator Hack the Cert (AZ-104HTC)
- Deploy and administer Linux virtual machines on Azure (AZ-1007)
Azure Migration
Azure Development
- GitHub fundamentals – Administration basics and product features (GH-100T00)
- Automate your Workflow with GitHub Actions (GH-200T00)
- GitHub Foundations (GH-900T00)
- Develop Solutions for Microsoft Azure (AZ-204T00)
- Design and Implement Platform Engineering (AZ-2010)
- Design and Implement Microsoft DevOps solutions (AZ-400T00)
- Design and Implement Microsoft Azure Networking Solutions (AZ-700T00)
- Configure secure access to your workloads using networking with Azure Virtual Network (AZ-1002)
- Implement security through a pipeline using Azure DevOps (AZ-2001)
- Deploy cloud-native apps using Azure Container Apps (AZ-2003)
- Automate Azure Load Testing by using GitHub Actions (AZ-2006)
- Accelerate app development by using GitHub Copilot (AZ-2007)
- DevOps Foundations: The Core Principles and Practices (AZ-2008)
- Develop data-driven applications with Azure SQL Database (DP-3020)
Azure Architecture
Azure Infrastructure
VMware Cloud Training

vRealize
- VMware Aria Operations: Install, Configure, Manage [V8.17] (VROICM817)
- VMware Aria Automation: Install, Configure, Manage [V8.17] (VAAICM817)
- VMware Aria Operations for Logs: Install, Configure, Manage [V8.12] (AOLICM812)
- VMware Aria Automation: Orchestration and Extensibility [V8.13] (VRAOE13)
- VMware Aria Suite Lifecycle: Install, Configure, Manage [V8.10] (VASLICM810)
Cloud
AI CERTs Training

Checkpoint Training

Cisco Training

CompTIA Training

Cydrill Training

EC-Council Training

Fortinet Training

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Free Courses Training

IBM Training
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ICS2 Training

Google Cloud
Free Fundamentals Training
Keeping pace with today’s technical roles and requirements.
What Is Cloud Computing?
Cloud computing is the on-demand availability of computing resources such as servers, storage, databases, networking, and software as services over the internet. It removes the need for individuals and businesses to manage physical hardware and enables access to scalable, reliable, and cost-efficient resources, paying only for what they use.
This makes cloud computing a flexible and modern approach to powering applications, workloads, and IT operations.
Types of Cloud Services and Deployment Models
There are several service models in cloud computing that align to different levels of control and management. AWS identifies three main types:
- Infrastructure as a Service (IaaS), provides virtualized compute, storage, and networking with a high degree of flexibility and control.
- Platform as a Service (PaaS), abstracts the underlying infrastructure so teams can focus on building, deploying, and managing applications.
- Software as a Service (SaaS). offers fully managed, ready-to-use applications delivered over the internet, eliminating maintenance and updates for the user.
On the deployment-model side, Google Cloud outlines three primary cloud architectures:
- A public cloud is owned and operated by a third-party provider and delivers resources over the internet.
- A private cloud is dedicated to a single organization and offers enhanced control, customization, and security.
- A hybrid cloud blends public and private environments, giving organizations flexibility, scalability, and the ability to maintain sensitive workloads on dedicated infrastructure.
Benefits of Cloud Computing
- Scalability – Quickly scale resources up or down to match demand.
- Cost Efficiency – Reduce upfront hardware costs and pay only for what you use.
- Agility and Speed – Innovate faster with rapid deployment and on-demand resources.
- Enhanced Security – Built-in protection, identity controls, and compliance from major cloud providers.
- Global Reliability – High availability, redundancy, and worldwide data centers for consistent performance.