Cloud Computing

Online Instructor-led (2 days)

Online Self-paced (16 hours)

Cloud Computing Training Course Outline

Module 1: Introduction to Cloud Computing

  • Cloud Computing
  • Cloud Computing Roots
  • Cloud Layers and Types
  • Cloud Infrastructure Management
  • Infrastructure as a Service Providers
  • Platform as a Service Providers

Module 2: Migrating into the Cloud

  • Cloud Migration
  • Benefits of Cloud Migration
  • Challenges of Migrating to the Cloud

Module 3: Enriching the ‘Integration as a Service’ Paradigm for the Cloud Era

  • Introduction to Cloud Integration
  • Integration as a Service (IaaS)
  • Evolution of SaaS
  • Challenges of SaaS Paradigm
  • Why SaaS Integration is Hard?
  • New Integration Scenarios

Module 4: Enterprise Cloud Computing Paradigm

  • Issues for Enterprise Applications on the Cloud
  • Transition Challenges
  • Enterprise Cloud Computing
  • Cloud Supply Chain

Module 5: Virtual Machines Provisioning and Migration Services

  • Virtual Machines Provisioning
  • Virtual Machines Migration Services

Module 6: Virtual Machines Management for Cloud Infrastructures

  • Overview - Virtual Infrastructure Management

Module 7: Enhance Cloud Computing Environments with Cluster

  • RVWS Design
  • Cluster as a Service
  • Proof of Concept
  • Future Research Directions

Module 8: Secure Distributed Data Storage

  • Introduction
  • Cloud Storage – LANs to WANs
  • Technologies for Data Security
  • Open Questions and Challenges

Module 9: Overview of Aneka – Integration of Public and Private Clouds

  • Overview of Aneka
  • Technologies and Tools for Cloud Computing
  • Aneka Cloud Platform
  • Aneka Resource Provisioning Service
  • Hybrid Cloud Implementation

Module 10: Introduction to CometCloud

  • Overview of CometCloud

Module 11: Workflow Engine for Clouds

  • Introduction
  • Workflow Management Systems and Clouds
  • Architecture of Workflow Engine in the Cloud

Module 12: MapReduce Programming Model

  • Introduction to MapReduce Programming Model

Module 13: Federated Cloud Computing Architecture

  • Introduction to Federation
  • Two Major Types of Actors
  • RESERVOIR Architecture: Components and Interfaces

Module 14: Basics of SLA Management

  • Approaches to SLA Management
  • SLA Types
  • Life Cycle of SLA
  • SLA Management in the Cloud
  • Automated Policy Bases Management

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Who should attend this Cloud Computing Training Course?

The Cloud Computing Course is suitable for those who want to get better at planning, executing, and managing cloud-based operations. This course can be particularly beneficial for the following professionals:

  • Solution Architects
  • Project Managers
  • DevOps Engineers
  • Quality Assurance Professionals
  • Business Managers
  • Network Engineers
  • Database Administrators

Prerequisites of the Cloud Computing Training Course

There are no formal prerequisites for attending this Cloud Computing Course.

Cloud Computing Training Course Overview

The Cloud Computing Course by The Knowledge Academy delves into the world of on-demand computing services and their essential role in modern technology. It's a game-changer, offering efficiency and platform independence by eliminating the need for software installations on personal devices. This course provides the foundation for understanding this dynamic field's relevance and impact.

Mastering this Cloud Computing Course is essential for IT Professionals, especially Cloud Computing Professionals, as it enables them to leverage on-demand computing resources and subscription-based services. This knowledge empowers them to manage and deploy computing solutions efficiently, ensuring a competitive edge in the industry. It is the reason why Online Cloud Computing Courses are in heavy demand.

The 2-day training by the Knowledge Academy on Cloud Computing is tailored to equip delegates with comprehensive knowledge. Through this course, delegates will master the seven-step model of Cloud migration, gain insights into the three Cloud Computing models (SaaS, PaaS, IaaS), and become proficient in managing Aneka, Comet Cloud, and SLAs in Cloud Computing.

Course Objectives

  • To understand the fundamentals of Cloud Computing and its key concepts
  • To explore the benefits and challenges of migrating to the cloud
  • To gain proficiency in Cloud Computing service models: SaaS, PaaS, and IaaS
  • To learn to manage and optimise Cloud resources effectively
  • To familiarise with tools like Aneka and CometCloud for cloud application development
  • To grasp the intricacies of Service Level Agreement (SLA) management in Cloud Computing

Upon completion of this Cloud Computing Certification Course, delegates will be well-equipped to harness the power of Cloud Computing, enhance their professional capabilities, and stay at the forefront of technology trends.

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What’s included in this Cloud Computing Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Cloud Computing Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

Linux OpenStack Administration Training Course Outline

Module 1: Introduction to OpenStack

  • What is OpenStack?
  • Conceptual Architecture
  • Logical Architecture
  • OpenStack Services

Module 2: Identity Management

  • What is Identity Management?
  • Configuration Methods
  • Secure LDAP Communication

Module 3: OpenStack Dashboard

  • OpenStack Dashboard
  • Admin Tab
  • Project Tab
  • Identity Tab
  • Customise Dashboard

Module 4: OpenStack Compute Service

  • Introduction to Compute Service
  • Install and Configure Controller Node
  • Install and Configure Compute Node
  • Verify Operations

Module 5: Object Storage

  • Introduction to Object Storage
  • Components of Object Storage
  • Ring-Builder
  • Cluster Architecture
  • Replication
  • Monitoring Object Storage

Module 6: Block Storage

  • Boot Instance from Volume
  • Configure Multiple-Storage Back Ends
  • Migrate Volumes
  • Back Up and Restore Volumes and Snapshots
  • Consistency Groups

Module 7: Shared File Systems

  • Introduction to Shared File Systems
  • Share Management
  • Share Basic Operations
  • Manage and Unmanage Share
  • Share Migration
  • Share Types
  • Share Services
  • Share Replication

Module 8: introduction to Networking

  • Networking Architecture
  • Plug-in Configurations
  • Configure Neutron Agents
  • Configure Identity Service for Networking

Module 9: Telemetry Service

  • Data Collection Service
  • Alarming Service
  • System Architecture
  • Data Collection and Data Retrieval
  • Alarms, Measurements, and Events
  • Troubleshoot

Module 10: Database

  • Introduction to Database
  • Creating Data Store
  • Configuring Cluster

Module 11: Overview of Bare Metal

  • System Architecture
  • Bare Metal Deployment

Module 12: Orchestration

  • Orchestration Authorisation Model
  • Stack Domain Users

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Who should attend this Linux OpenStack Administration Training Course?

The Linux OpenStack Administration Course is designed for those who want to get better at Cloud Infrastructure Management, Cloud Computing, and other cloud-based operations. The Linux OpenStack Administration Training Course can benefit professionals such as:

  • System Administrators
  • Network Engineers
  • Infrastructure Engineers
  • Database Administrators
  • Cloud Administrators
  • Technical Architects
  • Virtualisation Experts

Prerequisites of the Linux OpenStack Administration Training Course

There are no formal prerequisites for this Linux OpenStack Administration Training Course.

Linux OpenStack Administration Training Course Overview

The Linux OpenStack Administration Training Course offers an in-depth understanding of OpenStack, an open-source platform that enables the creation and management of Cloud infrastructure. As the demand for Cloud solutions continues to rise, OpenStack provides a flexible and scalable framework that organisations can leverage to build private and public clouds. This course aims to equip delegates with the essential skills required to efficiently administer OpenStack environments.

Mastering Linux OpenStack Administration is pivotal for IT Professionals who are looking to stay relevant in the rapidly evolving field of Cloud Computing. Proficiency in OpenStack empowers System Administrators, Cloud Engineers, and IT Managers to implement robust and scalable Cloud solutions. By mastering OpenStack, these professionals can ensure that their organisations can efficiently manage cloud resources, reduce costs, and improve overall IT agility.

This intensive 2-day training course by The Knowledge Academy provides delegates with hands-on experience and practical knowledge of OpenStack. Delegates will learn how to navigate and utilise the various components of OpenStack, manage its services, and address common challenges. The course is designed to enhance the delegates' ability to deploy, configure, and administer OpenStack environments, thereby improving their organisation’s Cloud infrastructure and operational efficiency.

Course Objectives

  • To understand the core components and architecture of OpenStack
  • To learn the installation and configuration processes for OpenStack
  • To deploy and manage OpenStack environments effectively
  • To manage OpenStack resources such as compute, storage, and networking
  • To perform user and project management within OpenStack
  • To troubleshoot and resolve issues within OpenStack environments
  • To integrate OpenStack with existing IT infrastructure and third-party tools

Upon completing the course, delegates will receive a certification that validates their expertise in Linux OpenStack Administration. This certification is a testament to their ability to manage and deploy OpenStack environments, thereby enhancing their professional credentials and increasing their value to current and prospective employers.

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What’s included in this Linux OpenStack Administration Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Linux OpenStack Administration Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Microservices Architecture Training Course Outline

Module 1: Overview of Microservices

  • What is a Microservice?
  • Components of a Microservice

Module 2: Why Microservices?

  • Why is Mircoservice Architecture Important?

Module 3: Microservices Scenarios

  • Developing A New Signalling System
    • Scenario of Greenfield Application

Module 4: Size of a Microservice

  • Modularisation
  • Distributed Communication
  • Refactoring
  • Infrastructure
  • Replaceability

Module 5: Conway’s Law

  • Conway’s First Law
  • Conway’s Second Law
  • Conway’s Third Law
  • Conway’s Fourth Law

Module 6: Domain-Driven Design and Bounded Context

  • Domain-Driven Design (DDD)
  • Ubiquitous Language
  • Building Blocks
  • Bounded Context
  • Large-Scale Structure

Module 7: Microservices and SOA

  • Introduction to SOA
  • Architecture of SOA
  • SOA vs Microservices

Module 8: Microservice-Based System Architecture

  • Domain Architecture
  • Architecture Management
  • Growing Microservice-Based Systems
  • Event-Driven Architecture
  • Technical Architecture
  • Load Balancing
  • Scalability
  • Security

Module 9: Integration and Communication

  • Integration and Communication
  • Web and UI
  • Representational State Transfer (REST)
  • SOAP and RPC
  • Messaging and Messaging Technology
  • Data Replication
  • Internal and External Interfaces

Module 10: Architecture of Individual Microservices

  • Background
  • What Exactly are Microservices?
  • Advantages of Microservices
  • Helpful Tips

Module 11: Testing Microservices

  • Types of Testing
  • Testing the Overall System
  • Testing Legacy Applications
  • Testing Individual Microservices

Module 12: Technologies for Nanoservices

  • Nanoservices
  • Amazon Lambda
  • OSGi
  • Java EE
  • ERLANG
  • SENECA

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Who should attend this Microservices Architecture Training Course?

The Microservices Architecture Course is designed for a wide range of professionals who want to enhance their understanding of microservices and its implementation. This course is particularly beneficial for the following professionals:

  • System Administrators
  • Software Architects
  • Solution Architects
  • Software Engineers
  • Enterprise Architects
  • Project Managers
  • Software Quality Professionals

Prerequisites of the Microservices Architecture Training Course

There are no formal prerequisites for this Microservices Architecture Course.

Microservices Architecture Training Course Overview

Microservices Architecture represents a modern approach to Software Development, where applications are structured as a collection of loosely coupled services. This paradigm facilitates more flexible, scalable, and resilient systems, making it an essential framework for contemporary software engineering. As businesses increasingly adopt Microservices, understanding its architecture becomes crucial for IT Professionals.

Proficiency in Microservices Architecture is vital for Software Developers, Architects, and IT Managers aiming to enhance their system's scalability and maintainability. Mastering this subject empowers professionals to design robust applications, streamline development processes, and ensure efficient resource utilisation, addressing the dynamic needs of modern enterprises.

This 1-day training course by The Knowledge Academy provides delegates with a comprehensive understanding of Microservices Architecture. Participants will learn the principles, patterns, and practices essential for designing, deploying, and managing Microservices. By the end of the course, delegates will be equipped to apply these concepts to real-world projects, improving their organisations' software capabilities.

Course Objectives

  • To understand the fundamentals of Microservices Architecture
  • To explore the benefits and challenges associated with Microservices
  • To learn how to design Microservices-based applications
  • To implement best practices for deploying Microservices
  • To manage Microservices using container orchestration tools
  • To ensure security and compliance in Microservices environments

Upon completing the course, delegates will receive a certification acknowledging their expertise in microservices architecture. This certification will enhance their professional credentials and demonstrate their ability to design and manage modern, scalable software systems.

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What’s included in this Microservices Architecture Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Microservices Architecture Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Terraform Training​ Course Outline

Module 1: Why Terraform?

  • Rise of DevOps
  • Infrastructure as a Code
  • Benefits of Infrastructure as a Code
  • How Does Terraform Works with Plugins?
  • Terraform Vs Other Infrastructure as a Code Tools

Module 2: Starting with Terraform

  • Setting Up an AWS Account
  • Install Terraform

Module 3: Managing Terraform State

  • What is Terraform State?
  • Shared Storage for State Files
  • Isolating State File

Module 4: Terraform Tips and Tricks

  • Loops
  • Terraform Gotchas

Module 5: Production-Grade Terraform Code

  • Why Does It Take Longer to Build Production-Grade Infrastructure?
  • Production-Grade Infrastructure Checklist

Module 6: Testing Terraform Code

  • Automated Tests
  • Other Testing Approaches
  • Adopting Infrastructure as Code in Your Team

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Who should attend this Terraform Training?

The Terraform Training Course is aimed at professionals who want to get better at infrastructure provisioning and management in IT, cloud, and other domains. The Terraform Training Course is especially beneficial to the following professionals:

  • Cloud Engineers
  • DevOps Engineers
  • System Administrators
  • Solution Architects
  • Software Developers
  • Release Engineers
  • Site Reliability Engineers

Prerequisites of the Terraform Training

There are no formal prerequisites for this Terraform Training Course.

Terraform Training Course Overview

Terraform, developed by HashiCorp, is a powerful open-source tool that allows users to define and provision infrastructure using code. This approach, known as Infrastructure as Code (IaC), enables consistent and reproducible infrastructure management across multiple Cloud providers such as AWS, Azure, and Google Cloud. As organisations increasingly adopt Cloud Computing and automation, proficiency in Terraform becomes essential for IT professionals to ensure scalable, efficient, and reliable infrastructure deployment.

Mastering Terraform is crucial for professionals involved in cloud infrastructure, DevOps, and system administration. It empowers these individuals to automate the setup and management of complex environments, reducing the risk of manual errors and improving efficiency. This course is particularly beneficial for DevOps Engineers, Cloud Architects, System Administrators, and anyone responsible for managing Cloud infrastructure.

This comprehensive 1-day training course by The Knowledge Academy is designed to provide delegates with hands-on experience and practical knowledge of Terraform. Through interactive sessions and real-world scenarios, participants will learn how to write and apply Terraform configurations, manage infrastructure state, and use advanced features such as modules and workspaces. The course also covers best practices and common challenges, ensuring delegates are well-prepared to implement Terraform in their own environments.

Course Objectives

  • To understand the basics of Terraform and its core concepts
  • To write and implement Terraform configurations
  • To manage infrastructure using the Terraform CLI
  • To create and manage resources in AWS, Azure, and other cloud providers
  • To implement Terraform modules for reusable code
  • To apply best practices for Terraform usage and infrastructure management

Upon successful completion of the Terraform Training Course, delegates will receive a certification from The Knowledge Academy. This certification recognises their expertise in using Terraform for infrastructure management and automation.

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What’s included in this Terraform Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Terraform Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Certified Artificial Intelligence (AI) for Cloud Professionals Training Course Outline

Module 1: Introduction to AI in Cloud Computing

  • Understanding Artificial Intelligence
  • Role of AI in Cloud Computing
  • Benefits of Integrating AI with Cloud Services

Module 2: AI for Cloud Infrastructure Management

  • Automating Cloud Infrastructure with AI
  • Predictive Maintenance Using AI
  • Optimising Resource Allocation and Usage
  • Enhancing Security with AI-driven Solutions

Module 3: AI in Data Management and Analytics

  • AI Techniques for Data Integration
  • Improving Data Quality with AI
  • AI-driven Data Analytics and Insights
  • Predictive Analytics in Cloud Environments

Module 4: AI for Cloud Security

  • AI Applications in Threat Detection
  • Enhancing Security Protocols with AI
  • AI for Real-time Security Monitoring
  • Incident Response and Mitigation Using AI

Module 5: AI in Cloud Service Optimisation

  • AI for Performance Monitoring and Tuning
  • Cost Management and Optimisation with AI
  • AI-driven Scalability Solutions
  • Enhancing User Experience with AI

Module 6: AI for Automation and DevOps

  • Integrating AI into DevOps Practices
  • Automating Deployment Pipelines with AI
  • AI for Continuous Integration and Delivery
  • Monitoring and Optimising DevOps Workflows

Module 7: AI in Cloud Migration

  • Planning Cloud Migration with AI
  • AI Tools for Migration Assessment
  • Ensuring Seamless Migration with AI Support
  • Post-migration Optimisation Using AI

Module 8: AI for Business Continuity and Disaster Recovery

  • AI in Disaster Recovery Planning
  • Predictive Analytics for Risk Assessment
  • Automating Recovery Processes with AI
  • Enhancing Business Continuity with AI Solutions

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Who should attend this Certified Artificial Intelligence (AI) for Cloud Professionals Training?

This Certified Artificial Intelligence (AI) for Cloud Professionals Course is designed for professionals responsible for managing and optimising Cloud environments who seek to enhance their expertise with AI-driven solutions. This course is beneficial for a wide range of professionals, including:

  • Cloud Architects
  • Cloud Engineers
  • Data Scientists
  • DevOps Engineers
  • IT Infrastructure Managers
  • Cloud Security Specialists
  • AI and Machine Learning Engineers

Prerequisites of the Certified Artificial Intelligence (AI) for Cloud Professionals Training

There are no formal prerequisites for attending this course. However, having a prior basic understanding of Cloud Computing principles, familiarity with Cloud service platforms, an interest in AI applications, and some technical proficiency in data management and Cloud infrastructure would be beneficial.

Certified Artificial Intelligence (AI) for Cloud Professionals Training Course Overview

The Certified Artificial Intelligence (AI) for Cloud Professionals Course is designed to equip delegates with the knowledge and skills necessary to integrate AI solutions within Cloud environments. As AI becomes increasingly critical in driving innovation and efficiency, this course ensures professionals stay ahead in the rapidly evolving tech landscape.

Proficiency in AI for Cloud Computing is vital for professionals looking to enhance their capabilities and advance their careers in technology. This training is essential for Cloud Engineers, Data Scientists, IT Managers, and Software Developers who wish to leverage AI to optimise Cloud infrastructure and services, thereby driving business growth and operational efficiency.

This 1-day intensive training by The Knowledge Academy provides delegates with a thorough understanding of AI concepts and practical applications in Cloud Computing. Participants will learn how to develop and deploy AI models on Cloud platforms, ensuring they can effectively manage and scale AI solutions. The course combines theoretical knowledge with hands-on exercises to solidify learning and practical skills.

Course Objectives

  • To understand the fundamentals of AI and Machine Learning
  • To explore the integration of AI within Cloud environments
  • To develop and deploy AI models using Cloud services
  • To manage and scale AI solutions on Cloud platforms
  • To utilise AI tools and frameworks effectively
  • To implement best practices for AI in Cloud Computing

After completing this course, delegates will be proficient in applying AI technologies to Cloud environments, enhancing their professional value and opening new career opportunities in the tech industry. This certification signifies a deep understanding of AI integration within Cloud systems, ensuring practical and impactful skills.

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What’s included in this Certified Artificial Intelligence (AI) for Cloud Professionals Training?

  • World-Class Training Sessions from Experienced Instructors
  • Certified Artificial Intelligence (AI) for Cloud Professionals Certificate
  • Digital Delegate Pack

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Not sure which course to choose?

Speak to a training expert for advice if you are unsure of what course is right for you. Give us a call on +1 6474932992 or Inquire.

Cloud Computing FAQs

Cloud Computing delivers computing services—such as servers, storage, databases, networking, software, and analytics—over the internet. It enables faster innovation, flexible resources, and economies of scale, offering on-demand access to these services with pay-as-you-go pricing.
Taking an online course offers flexibility, up-to-date skills, cost-efficiency, and access to industry-relevant knowledge. It enhances career prospects, enables remote work opportunities, and provides hands-on experience with cloud platforms, boosting both personal and professional growth.
There are no formal prerequisites for attending these Cloud Computing Training Courses.
The different types of Cloud Computing are public cloud, private cloud, hybrid cloud, and multi-cloud. Public clouds are shared, private clouds are exclusive, hybrid clouds combine both, and multi-clouds use multiple cloud services from different providers.
Consider learning Cloud Computing if you enjoy technology, want to enhance your career prospects, and are interested in scalable, cost-effective solutions. It's ideal for those keen on innovation, data management, and developing versatile skills in a growing field.
From these Cloud Computing Courses, you will gain skills in cloud architecture, deployment models, service models (IaaS, PaaS, SaaS), virtualisation, storage solutions, security practices, cost management, networking, and hands-on experience with leading platforms like AWS, Azure, and Google Cloud.
After learning Cloud Computing, you can pursue careers such as Cloud Architect, Cloud Engineer, DevOps Engineer, Cloud Consultant, or Cloud Security Specialist, working in various industries to design, implement, and manage cloud infrastructure and services.
These courses span over 1-2 days during which delegates participate in intensive learning sessions that cover various course topics.
In these Cloud Computing Courses, delegates will have intensive training with our experienced instructors, a digital delegate pack consisting of important notes related to this course, and a certificate after course completion.
Yes, our Cloud Computing instructors are highly experienced, bringing extensive industry knowledge and practical expertise to the classroom. They have a proven track record of guiding learners through complex concepts and ensuring a comprehensive understanding of cloud technologies.
The average salary for professionals with Cloud Computing skills varies in Canada, typically ranging from £57,879 annually. Factors such as experience, specific skills, and job role can influence the exact figure.
Popular cloud computing services include Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), IBM Cloud, Oracle Cloud, and Alibaba Cloud. These services offer a range of solutions including IaaS, PaaS, and SaaS for businesses.
Yes, our Cloud Computing Courses include comprehensive coverage of Google Cloud fundamentals, providing essential knowledge and practical skills for effectively using Google Cloud services and tools. Perfect for beginners and professionals looking to expand their cloud expertise.
These Cloud Computing Courses are ideal for IT Professionals, System Administrators, Software Developers, Data Engineers, and business leaders seeking to enhance their skills in Cloud technologies, optimise IT infrastructure, and advance their careers in Cloud Computing.
If you face any issues in accessing the Cloud Computing Training course materials, then you can reach out to our customer support team who will provide you with quick assistance to resolve the issue.
The Knowledge Academy in Canada stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking this Cloud Computing Courses.
Please see our Cloud Computing courses available in Canada
The Knowledge Academy is the Leading global training provider for Cloud Computing.
The training fees for Cloud Computing in Canada starts from CAD4295.
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