Cloud Computing Training in Melbourne

This instructor-led, live training in Melbourne (online or onsite) is designed for beginner-level data engineers eager to utilise Azure Data Factory to implement scalable and efficient data integration solutions within the cloud.

Upon completion of this training, participants will be able to:

• Grasp the core concepts and architecture of Azure Data Factory (ADF).
• Create, schedule, and monitor data pipelines.
• Integrate with various data sources, execute data transformations, and manage data flows.
• Apply best practices for error handling and performance optimization.
• Secure and monitor data pipelines for production environments.

This instructor-led, live training in Melbourne (online or onsite) is aimed at intermediate-level IT professionals who wish to develop the skills required to deploy, manage, and operate workloads on Google Cloud and prepare for the Google Certified Associate Cloud Engineer certification.

By the end of this training, participants will be able to:

• Set up and manage Google Cloud projects, resources, networking, and storage services.
• Deploy and administer applications using Compute Engine, Google Kubernetes Engine (GKE), Cloud Run, and App Engine.
• Configure identity and access management, security controls, and billing budgets, alerts, and cost monitoring.
• Provision and automate cloud infrastructure using Terraform and Cloud Build.
• Monitor, troubleshoot, and optimize Google Cloud environments using Cloud Monitoring and Cloud Logging.
• Understand the capabilities of Vertex AI and Google Cloud AI services for common business and operational use cases.

Google Colab Pro is a cloud-based environment for scalable Python development, offering high-performance GPUs, longer runtimes, and more memory for demanding AI and data science workloads.

This instructor-led, live training (online or onsite) is aimed at intermediate-level Python users who wish to use Google Colab Pro for machine learning, data processing, and collaborative research in a powerful notebook interface.

By the end of this training, participants will be able to:

• Set up and manage cloud-based Python notebooks using Colab Pro.
• Access GPUs and TPUs for accelerated computation.
• Streamline machine learning workflows using popular libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Integrate with Google Drive and external data sources for collaborative projects.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Melbourne (online or onsite) is aimed at intermediate-level data scientists and healthcare professionals who wish to leverage AI for advanced healthcare applications using Google Colab.

By the end of this training, participants will be able to:

• Implement AI models for healthcare using Google Colab.
• Use AI for predictive modelling in healthcare data.
• Analyze medical images with AI-driven techniques.
• Explore ethical considerations in AI-based healthcare solutions.

This instructor-led, live training in Melbourne (online or onsite) is designed for intermediate-level data scientists and engineers who wish to leverage Google Colab and Apache Spark for big data processing and analytics.

Upon completing this training, participants will be able to:

• Set up a big data environment using Google Colab and Spark.
• Process and analyse large datasets efficiently with Apache Spark.
• Visualise big data in a collaborative environment.
• Integrate Apache Spark with cloud-based tools.

This instructor-led, live training in Melbourne (online or onsite) is targeted at beginner-level system administrators seeking to acquire the essential concepts and practical skills necessary for the effective management and optimisation of Nutanix environments.

Upon completion of this training, participants will be able to:

• Comprehend the Nutanix Enterprise Cloud Platform and its constituent components.
• Install, configure, and manage Nutanix Clusters.
• Develop proficiency in administering the Acropolis Hypervisor (AHV).
• Execute advanced management tasks and troubleshooting procedures.
• Implement best practices regarding high availability, disaster recovery, and security.

This instructor-led, live training in Melbourne (online or onsite) targets intermediate-level data professionals keen on applying time series forecasting techniques to real-world data using Google Colab.

Upon completion of this training, participants will be able to:

• Grasp the fundamentals of time series analysis.
• Leverage Google Colab to manipulate time series data.
• Apply ARIMA models to forecast data trends.
• Utilize Facebook’s Prophet library for adaptable forecasting.
• Visualise time series data and forecasting outcomes.

This instructor-led, live training in Melbourne (online or on-site) is aimed at beginner-level IT professionals who wish to manage and operate the Google Cloud Platform.

By the end of this training, participants will be able to:

• Understand the core services and infrastructure of GCP.
• Learn how to manage networks and virtual machines.
• Understand and apply general security best practices in GCP.
• Explore Kubernetes and container management in GCP.
• Learn about storage options and how to configure them.
• Deploy and configure databases on GCP.

This instructor-led, live training in Melbourne (online or onsite) is designed for advanced-level professionals seeking to deepen their understanding of reinforcement learning and its practical applications in AI development using Google Colab.

Upon completion of this training, participants will be able to:

• Grasp the core concepts underlying reinforcement learning algorithms.
• Implement reinforcement learning models using TensorFlow and OpenAI Gym.
• Develop intelligent agents that learn through trial and error.
• Enhance agent performance using advanced techniques such as Q-learning and deep Q-networks (DQNs).
• Train agents within simulated environments using OpenAI Gym.
• Deploy reinforcement learning models for real-world applications.

This instructor-led, live training in Melbourne (online or on-site) is tailored for advanced-level professionals seeking to deepen their grasp of computer vision and explore TensorFlow's capabilities for developing sophisticated vision models via Google Colab.

Upon completion of this training, participants will be capable of:

• Constructing and training convolutional neural networks (CNNs) using TensorFlow.
• Leveraging Google Colab for scalable and efficient cloud-based model development.
• Implementing image preprocessing techniques for computer vision tasks.
• Deploying computer vision models for real-world applications.
• Employing transfer learning to enhance the performance of CNN models.
• Visualising and interpreting the results of image classification models.

This instructor-led, live training in Melbourne (online or onsite) is designed for advanced-level professionals who wish to deepen their knowledge of machine learning models, improve their hyperparameter tuning skills, and learn how to effectively deploy models using Google Colab.

By the end of this training, participants will be able to:

• Implement advanced machine learning models using popular frameworks like Scikit-learn and TensorFlow.
• Optimise model performance through hyperparameter tuning.
• Deploy machine learning models in real-world applications using Google Colab.
• Collaborate and manage large-scale machine learning projects in Google Colab.

Cloud Computing offers a scalable and flexible model for delivering IT resources and services on demand.

This instructor-led training, available online or onsite, is designed for beginner to advanced cloud practitioners aiming to master AWS and Azure technologies while preparing for globally recognised certifications.

Upon completing this program, participants will be equipped to:

• Grasp foundational cloud principles across both AWS and Azure.
• Configure, secure, and manage Azure resources effectively.
• Implement AWS compute, storage, networking, and security services.
• Apply architectural best practices and integrate generative AI concepts for executive-level planning.

Course Format

• Instructor-guided sessions supported by real-world cloud demonstrations.
• Extensive hands-on exercises across both AWS and Azure environments.
• Practical labs designed to build readiness for multiple certification exams.

Course Customization Options

• For tailored content aligned with your organisation's cloud roadmap, please contact us to customise this training.

This instructor-led, live training in Melbourne (online or onsite) targets intermediate-level data scientists and developers who wish to apply NLP techniques using Python in Google Colab.

Upon completion of this training, participants will be able to:

• Grasp the core concepts of natural language processing.
• Preprocess and clean text data for NLP tasks.
• Conduct sentiment analysis using the NLTK and SpaCy libraries.
• Work with text data using Google Colab for scalable and collaborative development.

This instructor-led, live training in Melbourne (online or onsite) is designed for intermediate-level data scientists and developers who wish to comprehend and apply deep learning techniques within the Google Colab environment.

Upon completion of this training, participants will be able to:

• Set up and navigate Google Colab for deep learning projects.
• Understand the fundamentals of neural networks.
• Implement deep learning models using TensorFlow.
• Train and evaluate deep learning models.
• Utilize advanced features of TensorFlow for deep learning.

This instructor-led, live training in Melbourne (online or onsite) is tailored for intermediate-level data engineers, cloud architects, and business intelligence professionals who wish to master data management in industry-specific cloud environments.

By the end of this training, participants will be able to:

• Understand the principles and components of data fabrics.
• Design and implement data integration and orchestration solutions.
• Ensure data quality and governance within industry cloud platforms.
• Utilize data fabrics to support industry-specific data analysis and decision-making.
• Stay current with emerging trends and technologies in cloud data management.

VMware vSphere 8 is a market-leading virtualization platform used to power modern data centre infrastructures.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals who wish to install, configure, and manage VMware vSphere environments while preparing for the VCP certification.

At the conclusion of the course, learners will have the skills to:

• Install and configure ESXi hosts.
• Deploy and administer vCenter Server.
• Configure vSphere networking and storage.
• Create, deploy, and optimize virtual machines.

Format of the Course

• Instructor-guided presentations and technical discussions.
• Extensive lab work and scenario-based exercises.
• Practical configuration and management in a dedicated vSphere environment.

Course Customization Options

• For tailored VMware vSphere training solutions, please contact us to discuss customization options.

This instructor-led, live training in Melbourne (online or onsite) is aimed at intermediate-level to advanced-level DevOps engineers, cloud architects, and infrastructure specialists who wish to enhance their skills in managing and orchestrating distributed infrastructure using Terraform's advanced features.

By the end of this training, participants will be able to:

• Utilize Terraform's advanced features to create dynamic, scalable infrastructure.
• Structure and manage Terraform modules for optimal reusability and efficiency.
• Integrate Terraform with CI/CD pipelines for seamless automation.
• Debug and troubleshoot complex Terraform configurations effectively.
• Implement best practices for maintaining and scaling cloud infrastructure with Terraform.

This instructor-led, live training in Melbourne (online or onsite) is aimed at beginner-level IT professionals, business analysts, and project managers who wish to understand the fundamentals of cloud computing and its applications in various industries.

By the end of this training, participants will be able to:

• Identify the key characteristics and benefits of cloud computing.
• Understand the differences between various cloud service and deployment models.
• Recognise the importance of industry-specific cloud solutions.
• Assess the security and compliance aspects of cloud platforms.
• Explore emerging trends and future directions in cloud technology.

This instructor-led, live training in Melbourne (online or onsite) is designed for intermediate-level cloud engineers and operations managers who aim to enhance their cloud infrastructure management using Kubiya AI.

By the end of this training, participants will be able to:

• Integrate Kubiya AI into cloud infrastructure.
• Automate cloud resource provisioning and management.
• Optimise cloud costs using AI-powered analytics.
• Enhance cloud security with AI-driven monitoring.

This instructor-led, live training in Melbourne (online or onsite) is aimed at intermediate-level data scientists and developers who wish to apply machine learning algorithms efficiently using the Google Colab environment.

By the end of this training, participants will be able to:

• Set up and navigate Google Colab for machine learning projects.
• Understand and apply various machine learning algorithms.
• Use libraries like Scikit-learn to analyze and predict data.
• Implement supervised and unsupervised learning models.
• Optimize and evaluate machine learning models effectively.

VMware vSphere: Operate, Scale and Secure builds upon foundational vSphere administration skills to deliver best practices in security, performance tuning, scalability, and advanced operations.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level IT professionals who wish to manage and optimize large-scale or mission-critical vSphere environments securely and efficiently.

By the end of this training, participants will be able to:

• Monitor, analyse, and optimise vSphere performance.
• Secure vSphere components using encryption, certificates, and role-based controls.
• Scale vSphere deployments using advanced networking and storage features.
• Apply lifecycle and patch management using vSphere tools.

Format of the Course

• Interactive lecture and discussion.
• Hands-on lab exercises and troubleshooting scenarios.
• Real-world enterprise-focused implementations.

Course Customisation Options

• To request a customised training for this course, please contact us to arrange.

This instructor-led, live training in Melbourne (online or onsite) is aimed at beginner-level to advanced-level DevOps engineers, system administrators, and system architects who wish to enhance their Terraform skills and proficiency in managing complex infrastructure deployments.

By the end of this training, participants will be able to:

• Develop and maintain Terraform projects at scale.
• Demonstrate expertise with HCL and some of the more-advanced expression language capabilities and practices.
• Utilize various automation tools and processes for managing Terraform ops in continuous integration and delivery pipelines, including testing and quality assurance tools and processes.
• Act as an expert in any existing or new Terraform project or module.

This instructor-led, live training in Melbourne (online or onsite) is aimed at beginner-level data scientists who wish to learn how to create meaningful and visually appealing data visualisations.

By the end of this training, participants will be able to:

• Set up and navigate Google Colab for data visualisation.
• Create various types of plots using Matplotlib.
• Utilize Seaborn for advanced visualisation techniques.
• Customize plots for better presentation and clarity.
• Interpret and present data effectively using visual tools.

VMware vSphere stands as a premier virtualization platform, facilitating the efficient management of virtual infrastructure across data centres and hybrid cloud environments.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate-level IT professionals seeking to install, configure, and manage VMware vSphere environments.

Upon completion of this training, participants will be capable of:

• Installing and configuring ESXi hosts and vCenter Server.
• Creating and managing virtual machines and vApps.
• Configuring virtual networking and storage resources.
• Implementing user permissions, monitoring, and basic troubleshooting.

Format of the Course

• Interactive lecture and discussion.
• Hands-on lab exercises and demos.
• Real-world practical implementation.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Melbourne (online or onsite) is aimed at advanced-level professionals who wish to deepen their understanding of DevOps practices and streamline development processes using AWS Cloud9.

By the end of this training, participants will be able to:

• Set up and configure AWS Cloud9 for DevOps workflows.
• Implement continuous integration and continuous delivery (CI/CD) pipelines.
• Automate testing, monitoring, and deployment processes using AWS Cloud9.
• Integrate AWS services such as Lambda, EC2, and S3 into DevOps workflows.
• Utilize source control systems like GitHub or GitLab within AWS Cloud9.

This instructor-led, live training in Melbourne (online or onsite) is aimed at beginner-level developers and data analysts who wish to learn Python programming from scratch using Google Colab.

By the end of this training, participants will be able to:

• Understand the basics of Python programming language.
• Implement Python code in Google Colab environment.
• Utilize control structures to manage the flow of a Python program.
• Create functions to organize and reuse code effectively.
• Explore and use basic libraries for Python programming.

VMware vSphere is a premier virtualization platform utilised to construct resilient IT infrastructure.

This instructor-led, live training (delivered online or onsite) targets intermediate-level IT professionals seeking to develop practical skills in identifying and resolving issues within VMware vSphere environments.

Upon completion of this training, participants will be able to:

• Diagnose and resolve common problems related to virtual machines and vSphere services.
• Utilise VMware tools to analyse and rectify performance and configuration issues.
• Troubleshoot virtual networking and storage configurations.
• Conduct root cause analysis in production environments.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a bespoke training session for this course, please contact us to arrange.

This instructor-led, live training in Melbourne (online or onsite) is designed for intermediate to advanced integration developers and system administrators wishing to learn advanced Boomi techniques for building, managing, and deploying cloud-based solutions on integration platforms.

Upon completion of this training, participants will be capable of:

• Utilising AtomSphere and managing Boomi documents.
• Designing and creating complex integration processes for advanced logic and data processing.
• Overseeing the deployment of integration processes, logging, and reporting.
• Identifying and addressing errors.
• Applying best practices and techniques for integration with Boomi.

This instructor-led, live training in Melbourne (online or onsite) is aimed at beginner-level data scientists and IT professionals who wish to learn the basics of data science using Google Colab.

By the end of this training, participants will be able to:

• Set up and navigate Google Colab.
• Write and execute basic Python code.
• Import and handle datasets.
• Create visualizations using Python libraries.

This instructor-led, live training in Melbourne (online or onsite) is designed for intermediate-level professionals seeking to learn how to effectively construct, deploy, and maintain serverless applications on AWS Cloud9 and AWS Lambda.

Upon completion of this training, participants will be able to:

• Grasp the fundamental principles of serverless architecture.
• Configure AWS Cloud9 for serverless application development.
• Develop, test, and deploy serverless applications using AWS Lambda.
• Integrate AWS Lambda with other AWS services, such as API Gateway and S3.
• Optimize serverless applications for both performance and cost efficiency.

This instructor-led, live training in Melbourne (online or onsite) is aimed at developers, system administrators, and cloud enthusiasts who wish to gain practical knowledge of OpenNebula and use it for their cloud solutions.

By the end of this training, participants will be able to:

• Set up a development environment that includes OpenNebula.
• Create and manage virtual machines in OpenNebula.
• Understand the lifecycle of a virtual machine.
• Integrate OpenNebula with existing infrastructure.
• Troubleshoot common issues in an OpenNebula environment.

This instructor-led, live training in Melbourne (online or onsite) is designed for intermediate-level system administrators seeking to use VMware vCenter to manage complex virtual environments.

By the conclusion of this training, participants will be capable of:

• Grasping the architecture and components of VMware vSphere and vCenter Server.
• Installing, configuring, and managing VMware ESXi and vCenter Server.
• Implementing advanced networking and storage configurations.
• Creating, managing, and migrating virtual machines.
• Ensuring high availability and disaster recovery within a virtualised environment.
• Automating vSphere tasks and managing lifecycle and upgrades.
• Troubleshooting common issues and applying best practices.

This course is designed to familiarise participants with the OpenStack environment from both the operator and administrator perspectives. After a concise overview of cloud computing, learners will be provided with their own OpenStack instance to perform hands-on operational and administrative tasks. The curriculum covers all fundamental components of OpenStack, ranging from general architecture to full-scale cloud administration. Approximately 75% of the course consists of practical workshops conducted in a real-world OpenStack environment.

This course provides comprehensive training on OpenStack, beginning with an introduction to the system and progressing through hands-on workshops that deliver practical knowledge for managing private clouds based on OpenStack. It concludes with troubleshooting and advanced architectural topics. The aim is to familiarise participants with the OpenStack ecosystem while providing a strong foundation for further expansion and refinement of OpenStack clouds. The course covers all topics required for the OpenStack Administrator Certificate exam, with 75% of the content delivered via hands-on workshops in a real OpenStack training environment.

This intensive OpenStack training provides practical, hands-on experience in deploying, managing, troubleshooting, and optimizing private cloud environments based on OpenStack. Designed as an extended bootcamp, the course covers core administration topics, real-world troubleshooting scenarios, and advanced architectural concepts aligned with the Certified OpenStack Administrator exam objectives. With seventy-five percent workshop-based learning in a live OpenStack lab, participants develop the skills needed to confidently administer and further develop enterprise OpenStack infrastructures.

This comprehensive course provides in-depth training on OpenStack networking. It begins with an introduction to OpenStack and its architecture, then clarifies core OpenStack projects such as the Identity service (Keystone), Image service (Glance), Compute service (Nova), and Block storage (Cinder) to describe the environment surrounding OpenStack networks. The course primarily focuses on the Networking project (Neutron). The virtual network infrastructure is explained using the Open Virtual Network project, Open vSwitch, and OpenFlow. The goal of the course is to understand the basic operations and architecture of OpenStack as well as to familiarize participants with various networking technologies behind OpenStack, extending information about OVN and underlying flows, resources and tools.

Customization options

The training can be contracted to 2 days, focusing on core aspects relevant for the customer. The training can be also extended regarding administrative, design, networking and/or troubleshooting topics concerning OpenStack deployments. It is possible to describe other underlying SDN solutions like Linux Bridge or OvS.

This instructor-led, live training in Melbourne (onsite or remote) is aimed at engineers who wish to deploy and manage IoT devices on AWS.

By the end of this training, participants will be able to build an IoT platform that includes the deployment and management of a backend, gateway, and devices on top of AWS.

This instructor-led, live training in Melbourne (onsite or remote) is aimed at developers who wish to use AWS Lambda to build and deploy services and applications to the cloud, without needing to worry about provisioning the execution environment (servers, VMs and containers, availability, scalability, storage, etc.).

By the end of this training, participants will be able to:

• Configure AWS Lambda to execute a function.
• Understand FaaS (Functions as a Service) and the advantages of serverless development.
• Build, upload and execute AWS Lambda functions.
• Integrate Lambda functions with different event sources.
• Package, deploy, monitor and troubleshoot Lambda based applications.

This instructor-led, live training in Melbourne (online or onsite) is designed for integration developers, sysadmins, and system integrators who wish to utilise Boomi to build, manage, and deploy integration platforms for cloud-based solutions.

By the end of this training, participants will be able to:

• Set up the necessary environment to start building integrations with Boomi.
• Understand Boomi AtomSphere's features, architecture, and core concepts.
• Learn how to design, build, and deploy integration processes with Boomi.
• Use Boomi's dashboard and reporting options to monitor applications.
• Manage configurations and deployments for Atom, Molecule, and Atom Cloud.
• Enable web services and API integration and management with Boomi.

Gaining practical experience in cloud computing reveals a fundamental path to modern infrastructure mastery. This course explores core paradigms spanning virtualization, hypervisors, network layering, and distributed architectures, alongside practical strategies for cost optimization and security. It equips participants with a hands-on understanding of major platforms including AWS, Azure, and Google Cloud, covering compute services, virtual networks, managed databases, and serverless deployments. The program builds confidence in designing high-availability solutions across public cloud ecosystems.

This seven-day programme offers an immersive, hands-on exploration into the design, deployment, and operation of cloud-native applications using contemporary DevOps methodologies.

Participants will delve into the creation of scalable microservice architectures, optimise container environments, and manage production workloads via Kubernetes. The curriculum encompasses advanced deployment strategies, GitOps-driven automation, and observability techniques to guarantee system reliability and performance.

There is a pronounced emphasis on real-world operational challenges, including incident response, failure simulation, and root cause analysis. The programme culminates with the application of AI-powered tools to aid troubleshooting and expedite operational decision-making.

Upon completion of the training, participants will possess a robust understanding of how to build, deploy, monitor, and maintain resilient distributed systems within a Kubernetes-based environment.

This course is tailored to equip non-technical professionals—such as managers, business analysts, QA testers, and operations staff—with a solid grounding in cloud computing. Participants will delve into the core concepts, advantages, and real-world applications of the cloud, enabling them to make better-informed decisions and actively support cloud migration efforts. The focus is on demystifying cloud terminology, contrasting cloud with on-premise infrastructure, grasping service models, and recognising how cloud technologies influence various roles within an organisation.

By the end of this course, participants will be able to:

• Understand the key definitions and terminology of cloud computing
• Identify different cloud service models (IaaS, PaaS, SaaS)
• Differentiate between cloud deployment models (Public, Private, Hybrid, Multi-Cloud)
• Compare on-premises vs. cloud-based infrastructure
• Understand cloud advantages: scalability, agility, availability, and cost-efficiency
• Recognise common cloud platforms (AWS, Azure, GCP) and their service offerings
• Comprehend cloud responsibilities: shared responsibility model and role-based access
• Grasp the impact of cloud on software testing, deployment, and monitoring
• Participate effectively in cloud adoption and migration projects
• Appreciate cloud security basics, compliance, and governance principles

This three-day training program is designed to equip participants with a robust understanding of cloud computing principles, complemented by practical, hands-on experience across the leading cloud platforms: AWS, Microsoft Azure, and Google Cloud Platform (GCP). The curriculum is divided into four sessions, with the first dedicated to foundational cloud concepts, followed by dedicated modules for each major platform. Upon completion, learners will possess a clear grasp of cloud fundamentals, practical insight into the architecture and services of each provider, and the ability to deploy and manage resources in real-world business environments.

This instructor-led, live training in Melbourne (online or onsite) is designed for IT architects and consultants aiming to adopt best practices for cloud infrastructure and services.

Upon completion of this training, participants will be capable of:

• Utilising cloud infrastructure and services for business implementation.
• Implementing advanced cloud security aligned with Cloud Security Alliance standards.
• Migrating legacy systems to the cloud by leveraging the synergy between SOA and PaaS.
• Automating on-demand resource provisioning for asynchronous cloud services.

This instructor-led live training in Melbourne (online or onsite) is aimed at cloud administrators, cloud architects, technology heads, and financial analysts who wish to record, manage, monitor, and process financial assets of an organisation in the cloud.

By the end of this training, participants will be able to use FinOps practices in an organisation to forecast costs, optimise processes, and perform financial management operations in the cloud.

Summary:

• Gaining a solid understanding of IoT architecture and its core functions.
• Exploring the concepts of "Things" and "Sensors," the Internet of Things (IoT), and how to map business requirements to effective IoT solutions.
• A thorough overview of IoT software components, including hardware, firmware, middleware, cloud infrastructure, and mobile applications.
• Key IoT functions covered: fleet management, data visualization, SaaS-based facility management and data visualization, alerting and alarm systems, onboarding of sensors and "things," and geo-fencing.
• Foundational knowledge of IoT device-to-cloud communication using the MQTT protocol.
• Connecting IoT devices to AWS via MQTT using AWS IoT Core.
• Integrating AWS IoT Core with AWS Lambda for computational tasks and Amazon DynamoDB for data storage.
• Connecting a Raspberry Pi to AWS IoT Core to enable seamless data communication.
• Practical lab exercise: constructing a smart device using a Raspberry Pi and AWS IoT Core.
• Sensor data visualization and establishing web interface communication.

This instructor-led, live training in Melbourne (online or onsite) is aimed at intermediate-level IT professionals and technology decision-makers who wish to use open-source platforms and open standards to design portable, resilient, and sovereign software environments.

By the end of this training, participants will be able to: explain digital sovereignty concepts, assess portability risks, evaluate Kubernetes and open-source platform options, and define practical adoption steps.

\r\n This course serves as comprehensive training in OpenStack. It commences with an introduction to the
\r\n system, proceeds through hands-on workshops to impart practical skills in managing private
\r\n clouds built on OpenStack, and concludes with advanced architectural topics and troubleshooting. The objective is to familiarise participants with the OpenStack ecosystem while providing a robust foundation for further development and optimisation of OpenStack clouds.
\r\n The course covers all requisite topics needed to sit for the OpenStack Administrator exam.
\r\n <\/p>

This instructor-led, live training in (online or onsite) is aimed at system administrators and infrastructure engineers who wish to design, deploy, and manage private OpenStack cloud infrastructure for enterprise environments.

By the end of this training, participants will be able to understand OpenStack architecture, deploy private cloud infrastructure, manage compute and storage resources, implement security with Keystone, and apply enterprise best practices.

This instructor-led, live training in Melbourne (online or onsite) targets intermediate-level IT leaders, architects, and governance professionals who wish to use sovereign cloud strategy principles to design governance models, choose suitable cloud architectures, and prepare realistic cloud exit plans.

By the end of this training, participants will be able to define sovereignty requirements, evaluate architecture options, establish governance controls, and build a practical exit roadmap.

This instructor-led, live training in Melbourne (online or onsite) is aimed at intermediate-level virtualization administrators who wish to use open-source platforms to migrate away from VMware.

By the end of this training, participants will be able to:

• Install and configure KVM, oVirt, and Proxmox VE.
• Migrate virtual workloads from VMware.
• Implement high availability and disaster recovery.
• Optimize performance in open-source virtualization environments.