Cloud Computing Training Courses

Introduction to Dell Boomi & iPaaS Architecture • What is Dell Boomi and where it is used • Boomi AtomSphere platform overview • Cloud vs on-premise Atom concepts • Integration patterns overviewBoomi Process Design Basics • Boomi process components • Building...

 • Integration developers
 • Middleware and iPaaS engineers
 • Application integration specialists
 • Enterprise application architects
 • IT professionals managing system integrations

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Dell Boomi (Boomi) Fundamentals. This digital, verifiable certification validates practical Boomi platform usage, iPaaS integration development, and enterprise application integration skills and can be shared on LinkedIn and included in professional profiles to enhance integration and middleware career credibility.

Prerequisites:  • Basic understanding of enterprise applications • Familiarity with integration or middleware concepts is helpful • Interest in iPaaS and system integration

Introduction to Google Cloud Platform• Overview of cloud computing and GCP ecosystem• GCP global infrastructure and regions• Google Cloud Console navigation• Introduction to core servicesCompute and Storage Services• Google Compute Engine basics• Virtual machi...

• Cloud Engineers and Cloud Administrators
• Software Developers transitioning to cloud platforms
• DevOps Engineers and IT Professionals
• System Administrators working on infrastructure
• Beginners exploring Google Cloud Platform

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.
 

Certification:  Participants who successfully complete the training will receive an AcadNXT Certification in Google Cloud Platform (GCP) Training, validating their expertise in cloud computing fundamentals, GCP services, infrastructure management, and cloud architecture principles.

Prerequisites: • Basic understanding of IT and networking concepts• Familiarity with cloud computing fundamentals is helpful• Basic knowledge of operating systems and applications• No prior GCP experience required

Introduction to Google Colab Pro and Notebook Environment• Overview of Google Colab and cloud notebooks• Colab Pro features and advantages• Notebook creation and management• Connecting to Google Drive and datasetsPython for Data Science in Colab• Working with...

• Data Science Beginners and Analysts
• Machine Learning Beginners and Students
• Python Developers exploring ML workflows
• Researchers and Academic professionals
• AI enthusiasts working on cloud-based notebooks

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Google Colab Pro Fundamentals Training, validating their expertise in cloud-based notebook computing, Python data science workflows, and machine learning model development.

Prerequisites: • Basic knowledge of Python programming• Familiarity with data science or analytics concepts is helpful• Understanding of basic machine learning concepts is an advantage• No prior experience with Google Colab required

Introduction to Google Colab & Cloud Notebooks • What is Google Colab and where it is used • Colab environment overview • Creating and managing notebooks • Connecting to Google DrivePython Execution & Notebook Workflow • Running Python code cells • Managing no...

 • Data analysts and data scientists
 • Machine learning practitioners
 • Students and researchers
 • Python developers
 • Teams collaborating on data and ML projects

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Introduction to Google Colab. This digital, verifiable certification validates practical Google Colab usage, Python notebook workflows, and cloud-based data analysis and machine learning collaboration skills and can be shared on LinkedIn and included in professional profiles to enhance data science and ML productivity credibility.

Prerequisites:  • Basic understanding of Python programming • Familiarity with data analysis concepts is helpful • Interest in cloud-based development and collaboration

Introduction to Requirements Engineering• Fundamentals of requirements engineering• Types of requirements (functional and non-functional)• Stakeholders and their roles• Requirements engineering process overviewRequirements Elicitation and Documentation• Elicit...

• Business Analysts and System Analysts
• Software Engineers and Developers
• Product Owners and Product Managers
• QA and Testing Professionals
• IT Professionals preparing for IREB certification

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in IREB Foundation Exam Prep Training, validating their expertise in requirements engineering principles, elicitation techniques, documentation practices, validation methods, and certification-level readiness for IREB Foundation examination.

Prerequisites: • Basic understanding of software development lifecycle (SDLC)• Familiarity with software or system development concepts• Analytical and logical thinking ability• No prior requirements engineering experience required

Introduction to Microsoft Azure & Cloud Infrastructure • Azure global infrastructure and regions • Azure subscriptions and resource groups • Azure Resource Manager concepts • Azure portal and CLI overviewAzure Compute Services • Azure Virtual Machines • VM siz...

 • Cloud and infrastructure engineers
 • System administrators
 • IT operations professionals
 • Cloud solution architects (junior to intermediate)
 • Teams migrating on-premises workloads to Azure

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Microsoft Azure Infrastructure and Deployment. This digital, verifiable certification validates practical Azure infrastructure deployment, cloud operations, and enterprise cloud architecture skills and can be shared on LinkedIn and included in professional profiles to enhance cloud infrastructure career credibility.

Prerequisites:  • Basic understanding of networking and server concepts • Familiarity with cloud computing fundamentals is helpful • Experience with Windows Server or Linux administration is beneficial

Introduction to Microsoft Cloud Security Architecture• Overview of cloud security principles• Shared responsibility model in cloud security• Microsoft security ecosystem overview• Security baseline concepts in cloud environmentsIdentity and Access Management S...

• Cloud Security Engineers
• Azure Administrators and Cloud Engineers
• Security Analysts and SOC Team Members
• DevOps Engineers working on secure cloud systems
• IT Professionals responsible for cloud governance and security

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Microsoft Cloud Security Training, validating their expertise in cloud security architecture, identity protection, threat management, and secure Microsoft cloud operations.

Prerequisites: • Basic understanding of cloud computing concepts• Familiarity with IT security fundamentals• Basic knowledge of networking and operating systems• Understanding of Azure fundamentals is helpful

Advanced MinIO Architecture and Cluster Design• Distributed MinIO architecture deep dive• Multi-node cluster planning and deployment strategies• Erasure coding and data distribution mechanisms• Capacity planning for enterprise storage systemsHigh Availability...

• Cloud Storage Engineers
• DevOps Engineers and Platform Engineers
• System Administrators managing distributed storage
• Data Engineers working with large-scale data systems
• IT Professionals handling enterprise storage infrastructure

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in MinIO Cloud Storage Advanced Training, validating their expertise in distributed object storage architecture, performance optimization, security hardening, and enterprise-scale MinIO deployment.

Prerequisites: • Strong understanding of MinIO fundamentals• Basic knowledge of object storage and S3-compatible systems• Familiarity with Linux administration• Understanding of networking and cloud infrastructure concepts

Introduction to Object Storage and MinIO Architecture• Object storage fundamentals and use cases• MinIO architecture overview• S3 compatibility model and API concepts• Installation and initial setup of MinIOBucket and Data Management Fundamentals• Bucket creat...

• Cloud Engineers and Storage Administrators
• DevOps Engineers working with data platforms
• System Administrators managing storage infrastructure
• Data Engineers and Platform Engineers
• IT Professionals working with cloud-native storage systems

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in MinIO Cloud Storage Fundamentals Training, validating their expertise in object storage systems, MinIO architecture, cloud-native storage management, and scalable data infrastructure.

Prerequisites: • Basic understanding of Linux operating systems• Familiarity with storage concepts (block, file, object storage)• Basic knowledge of cloud computing fundamentals• Understanding of networking basics is helpful

Introduction to Azure Security Architecture• Azure shared responsibility model• Overview of Azure security services• Azure Security Center and Defender for Cloud• Security best practices in Azure environmentsIdentity and Access Management in Azure• Azure Activ...

• Cloud Security Engineers and Security Analysts
• Azure Administrators and DevOps Engineers
• IT Security Professionals and SOC Analysts
• System Administrators working on Azure platforms
• Developers building secure cloud applications

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in MS Azure Cloud Security Training, validating their expertise in Azure security architecture, identity management, threat protection, compliance, and enterprise cloud security operations.

Prerequisites: • Basic understanding of cloud computing concepts• Familiarity with networking and security fundamentals• Basic knowledge of Microsoft Azure services is helpful• Understanding of IT infrastructure concepts

Introduction to Serverless Computing and Azure Functions• Overview of serverless architecture• Azure Functions runtime and components• Creating and deploying first Azure Function• Understanding triggers and bindingsCore Function Development• HTTP-triggered fun...

• Cloud Developers and Software Engineers
• Backend Developers working on microservices
• DevOps Engineers and Automation Engineers
• Data Engineers working with event-driven systems
• IT Professionals exploring serverless architecture

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.
 

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in MS Azure Functions Training, validating their expertise in serverless computing, event-driven architecture, Azure Functions development, and cloud automation.

Prerequisites: • Basic understanding of programming concepts (preferably C# or JavaScript/Python)• Familiarity with cloud computing fundamentals• Basic knowledge of APIs and REST services• Understanding of Azure basics is helpful

Introduction to OpenNebula and Cloud Architecture• Overview of cloud computing and private cloud models• OpenNebula architecture and components• Installation and initial configuration• Hypervisor integration (KVM/VMware overview)Virtualization and Resource Man...

• Cloud Engineers and System Administrators
• DevOps Engineers and Infrastructure Engineers
• Virtualization Administrators
• IT Professionals managing private cloud environments
• Data Center and Cloud Infrastructure Teams

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in OpenNebula Training, validating their expertise in private cloud infrastructure management, virtualization, and cloud orchestration using OpenNebula.

Prerequisites: • Basic understanding of Linux operating systems• Familiarity with virtualization concepts (VMware, KVM, or similar)• Basic knowledge of networking fundamentals• Understanding of cloud computing concepts is helpful