Cloud Computing Courses

The Administering Microsoft Azure SQL Solutions (DP-300) certification course imparts students with the knowledge and skills required to administer a SQL Server database infrastructure across cloud, on-premises, and hybrid relational databases. This course is particularly beneficial for those working with Microsoft PaaS relational database offerings. It is also valuable for individuals involved in developing applications that retrieve content from SQL-based relational databases

Objectives

In this Administering Microsoft Azure SQL Solutions (DP-300) course, you will learn how to:

- Plan, deploy and configure Azure SQL offerings.
- Monitor database performance and tune a database and queries for optimum performance.
- Plan and configure a High Availability Solution.

In the Microsoft Azure Data Fundamentals course, participants will acquire foundational knowledge of essential data concepts and relevant Microsoft Azure data services. The topics covered align with the Microsoft role-based DP-900 certification exam. Students will delve into core data concepts encompassing relational, non-relational, big data, and analytics, building a foundational understanding of cloud data services within Microsoft Azure. The course covers fundamental relational data concepts and relational database services in Azure, explores Azure storage for non-relational data, and introduces the basics of Azure Cosmos DB. Additionally, students will gain insights into modern data warehousing, real-time analytics, and data visualisation.

Objectives

In this Azure Data Fundamentals course, you will learn how to:

- Describe core data concepts.
- Identify considerations for relational data on Azure.
- Describe considerations for working with non-relational data on Azure.
- Describe an analytics workload on Azure.

In this Azure Administrator training course, IT Professionals will learn to effectively manage their Azure subscriptions. The curriculum covers securing identities, administering infrastructure, configuring virtual networking, establishing connections between Azure and on-premises sites, managing network traffic, implementing storage solutions, creating and scaling virtual machines, deploying web apps and containers, handling data backup and sharing, as well as monitoring the overall solution.

Objectives

- Manage Azure Subscriptions and Resources.
- Configure and Secure Virtual Networking.
- Administer Azure Identity and Access.
- Deploy and Manage Virtual Machines.
- Implement and Manage Storage Accounts.
- Configure and Manage Microsoft Entra.
- Implement and Manage Azure Governance.
- Monitor and Back Up Azure Resources.
- Manage Azure Applications and App Services.
- Implement and Manage Azure Virtual Networks.
- Work with Azure Resource Manager (ARM) Templates.

The training course on Microsoft Azure Security Certification equips IT Security Professionals with the essential knowledge and skills required for implementing security controls, upholding an organisation's security stance, and recognising as well as addressing security vulnerabilities. The curriculum encompasses security aspects related to identity and access, platform protection, data and applications, as well as security operations.

Objectives
- Secure identities with Microsoft Entra and users and groups.
- Configure and manage hybrid identity.
- Deploy and maintain identity protection and privileged identity in Azure.
- Design and manage an enterprise governance strategy for your security profile.
- Configure and manage network and perimeter security solutions to protect your Azure environment.
- Manage the security of any hosts and containers running in your environment.
- Deploy and configure Azure Key Vault.
- Implement and manage application security features to lock down application access and functionality.
- Implement and maintain storage and database security.
- Configure Azure Monitor and Microsoft Defender for Clouds to protect and monitor security operations.
- Analyse your security with Microsoft Sentinel.

Elevate your proficiency in Applied AI with our Practitioner Certificate in Applied AI, designed for individuals who have a solid foundation in AI principles and are ready to advance their skills. This advanced program covers post-AI deployment ethical considerations and AI regulations, applications of AI in NLP, the creative and innovative uses of AI, and techniques for measuring AI impact and ROI.

Completing this 4 module certification program will enable you to:

• Delve deeper into the ethical, regulatory, and societal impacts of AI, ensuring responsible
and compliant AI implementations.
• Explore specialised applications of AI in natural language processing and creative industries, enhancing your capabilities in these cutting-edge areas.
• Develop expert skills in evaluating the effectiveness and ROI of AI projects, a critical
competency for any AI practitioner in business and technology sectors.

Course Objectives - AI Applications in Natural Language Processing (NLP)

Understand the foundations and practical applications of NLP in AI.
Explore various NLP applications like chatbots sentiment analysis and machine translation.
Delve into advanced NLP techniques and their role in AI.

Within this Azure Data Engineering training, participants will gain the knowledge to implement and oversee data engineering workloads on Microsoft Azure, utilising services like Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and more. The course emphasises essential data engineering responsibilities such as orchestrating pipelines for data transfer and transformation, handling data files within a data lake, establishing and loading relational data warehouses, capturing and aggregating real-time data streams, and monitoring data assets and lineage.

Objectives

In this course, you will learn how to:

- Explore compute and storage options for data engineering workloads in Azure.
- Run interactive queries using serverless SQL pools.
- Perform data Exploration and Transformation in Azure Databricks.
- Explore, transform, and load data into the Data Warehouse using Apache Spark.
- Ingest and load Data into the Data Warehouse.
- Transform Data with Azure Data Factory or Azure Synapse Pipelines.
- Integrate Data from Notebooks with Azure Data Factory or Azure Synapse Pipelines.
- Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link.
- Perform end-to-end security with Azure Synapse Analytics.
- Perform real-time Stream Processing with Stream Analytics.
- Create a Stream Processing Solution with Event Hubs and Azure Databricks.

The course on Designing & Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure & Power-BI (DP-500) addresses techniques and methodologies for executing advanced data analytics on a large scale. Participants will enhance their existing analytics skills and gain proficiency in implementing and overseeing a data analytics environment. The curriculum covers querying and transforming data, implementing and managing data models, and exploring and visualising data. Throughout the course, students will utilise Microsoft Purview, Azure Synapse Analytics, and Power BI to construct comprehensive analytics solutions.

Objectives

In this Designing & Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure & Power-BI (DP-500) course, you will learn how to:

- Implement and manage a data analytics environment
- Query and transform data
- Implement and manage data models
- Explore and visualise data

Acquire the skills to manage machine learning solutions at cloud scale using Azure Machine Learning. This certification course in Azure Data Science guides you in utilizing your existing proficiency in Python and machine learning to oversee tasks such as data ingestion and preparation, model training and deployment, and monitoring machine learning solutions, all within the framework of Azure Machine Learning and MLflow.

Objectives

In this course, you will learn how to:

- Design machine learning solutions.
- Create and manage assets and resources in the Azure Machine Learning workspace, using the portal, the studio, the Azure CLI, and especially the Python SDK (v2).
- Build and run pipelines with the no-code designer in the Azure Machine Learning studio.
- Use Automated Machine Learning to explore featurisation and algorithms.
- Train and track machine learning models in Azure Machine Learning notebooks using MLflow.
- Train and track machine learning models using scripts as Azure Machine Learning jobs, using MLflow.
- Create, run, and schedule Azure Machine Learning pipelines.
- Deploy models to real-time and batch endpoints.
- Apply Responsible AI principles to data, models, and model training.
- Design a MLOps solution and design for monitoring and retraining.

The AI-102 Designing and Implementing an Azure AI Solution is designed for software developers aiming to create applications enriched with AI capabilities utilising Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. This Microsoft Azure AI Solution Training course will utilise either C# or Python as the programming language.

Objectives

In this course, you will learn how to:

- Design machine learning solutions.
- Create and manage assets and resources in the Azure Machine Learning workspace, using the portal, the studio, the Azure CLI, and especially the Python SDK (v2).
- Build and run pipelines with the no-code designer in the Azure Machine Learning studio.
- Use Automated Machine Learning to explore featurisation and algorithms.
- Train and track machine learning models in Azure Machine Learning notebooks using MLflow.
- Train and track machine learning models using scripts as Azure Machine Learning jobs, using MLflow.
- Create, run, and schedule Azure Machine Learning pipelines.
- Deploy models to real-time and batch endpoints.
- Apply Responsible AI principles to data, models, and model training.
- Design a MLOps solution and design for monitoring and retraining.

This course instructs developers on creating applications using the SQL API and SDK for Azure Cosmos DB. Participants will acquire skills in crafting efficient queries, establishing indexing policies, managing and provisioning resources, and executing common operations with the SDK.

Objectives

- Create and configure Azure Cosmos DB SQL API account, database, and container.
- Use the .NET SDK to manage resources and perform operations.
- Perform queries of varying complexity.
- Design a data modeling and partitioning strategy.
- Optimize queries and indexes based on the characteristics of an application.
- Use the Azure Resource Manager to manage accounts and resources with CLI or JSON and Bicep templates.

This course imparts the knowledge and skills necessary to formulate and execute DevOps processes and practices. Participants will be equipped to strategise for DevOps, employ source control, expand Git for enterprise-level applications, streamline artifacts, devise a dependency management strategy, handle secrets, implement continuous integration, devise a container build strategy, plan a release strategy, establish a release management workflow, implement a deployment pattern, and optimise feedback mechanisms.

Objectives

- Plan for the transformation with shared goals and timelines.
- Select a project and identify project metrics and Key Performance Indicators (KPIs).
- Create a team and agile organisational structure.
- Design a tool integration strategy.
- Design a license management strategy (e.g. Azure DevOps and GitHub users).
- Design a strategy for end-to-end traceability from work items to working software.
- Design an authentication and access strategy.
- Design a strategy for integrating on-premises and cloud resources.
- Describe the benefits of using Source Control.
- Describe Azure Repos and GitHub.
- Migrate from TFVC to Git.
- Manage code quality including technical debt SonarCloud, and other tooling solutions.
- Build organisational knowledge on code quality.
- Explain how to structure Git repos.
- Describe Git branching workflows.
- Leverage pull requests for collaboration and code reviews.
- Leverage Git hooks for automation.
- Use Git to foster inner source across the organisation.
- Explain the role of Azure Pipelines and its components.
- Configure Agents for use in Azure Pipelines.
- Explain why continuous integration matters.
- Implement continuous integration using Azure Pipelines.
- Define Site Reliability Engineering.
- Design processes to measure end-user satisfaction and analyse user feedback.
- Design processes to automate application analytics.
- Manage alerts and reduce meaningless and non-actionable alerts.
- Carry out blameless retrospectives and create a just culture
- Define an infrastructure and configuration strategy and appropriate toolset for a release pipeline and application infrastructure.
- Implement compliance and security in your application infrastructure.
- Describe the potential challenges with integrating open-source software.
- Inspect open-source software packages for security and license compliance.
- Manage organisational security and compliance policies.
- Integrate license and vulnerability scans into build and deployment pipelines.
- Configure build pipelines to access package security and license ratings.

The course on Designing Microsoft Azure Infrastructure Solutions is aimed at Azure Solution Architects, providing instruction on how to design infrastructure solutions and preparing participants for the AZ-305 certification exam. The curriculum delves into topics such as governance, computing, application architecture, storage, data integration, authentication, networks, business continuity, and migrations. Utilising a combination of lectures and case studies, the course illustrates fundamental architect design principles.

Participants will gain expertise in creating and scaling virtual machines, implementing storage solutions, configuring virtual networking, performing data backup and sharing, establishing connections between Azure and on-premises sites, managing network traffic, implementing Microsoft Entra, securing identities, monitoring solutions, and receiving guidance on subscriptions.

Objectives

- Design governance, computing, and data integration solutions.
- Design an application architecture.
- Design non-relational and relational storage.
- Design authentication, authorisation, and identity solutions.
- Design network and monitoring solutions.
- Design high-availability solutions.
- Design backup and disaster recovery solutions.
- Design migration solutions.
- Continue learning and face new challenges with after-course one-on-one instructor coaching.

This AZ-204 course instructs developers on crafting comprehensive solutions within Microsoft Azure. Participants will gain proficiency in implementing Azure compute solutions, establishing Azure Functions, managing web apps, developing solutions leveraging Azure storage, implementing authentication and authorization, and ensuring security through KeyVault and Managed Identities.

Moreover, students will learn to connect to and integrate Azure services and third-party services, incorporating event- and message-based models into their solutions. The course also encompasses aspects of monitoring, troubleshooting, and optimising Azure solutions.

Objectives

- Azure Fundamentals
- Azure Virtual Machines
- Azure App Service
- Azure Functions
- Azure Storage
- Azure Cosmos DB
- Azure Logic
- Azure Event Grid and Azure Event Hubs
- Azure Service Bus
- Azure Key Vault
- Authentication and Authorisation
- Monitoring and Diagnostics

This one-day course acts as a crucial step for individuals moving from foundational to entry-level associate skills in the IT field. Designed for aspiring infrastructure and security administrators, as well as architects, the program provides hands-on training in the configuration and security of network resources.

Participants engage in practical exercises that concentrate on tasks such as creating and configuring virtual networks, network routing, DNS Zones, DNS Settings, network security groups, and Azure Firewall. Ideal for those looking to enhance their expertise, this course provides an essential skill set applicable to various IT roles.

Objectives

- Seamlessly progress from fundamental to entry-level associate IT skills in just one day.
- Ideal for aspiring infrastructure and security administrators and architects seeking - advancement in multiple IT roles.
- Engage in hands-on exercises focusing on configuring and securing network resources.
- Dive into crucial areas such as creating and configuring virtual networks, network security groups, Azure Firewall, network routing, Azure DNS, and DNS settings.
- Condensed modules allow for swift acquisition of key skills.

Transitioning from foundational to intermediate IT skills, this course is a crucial step for individuals pursuing roles in development, infrastructure, and security. Participants will acquire practical experience in configuring and securing pipelines using Azure DevOps.

The course delves into key subjects such as secure resource access, permissions validation, project structuring, pipeline extension, and secure variable usage. By doing so, it equips learners with the ability to effectively manage identities across projects, pipelines, and agents.

Objectives

- Gain foundational knowledge transitioning to intermediate IT skills.
- Hands-on practice in configuring secure project and repository structures.
- Proficiency in managing identity across projects, pipelines, and agents.
- Practical experience in configuring secure access to pipeline resources.
- Understand permissions configuration and validation.
- Learn how to extend pipelines using multiple templates for enhanced functionality.

Progress from fundamental skills to introductory proficiency across various IT roles such as infrastructure, security, and networking. Engage in practical exercises to configure and strengthen storage systems, encompassing tasks like creating accounts, managing blob containers, file shares, and enhancing storage security. This is an ideal opportunity for individuals looking to enhance their IT skills.

Objectives

- Learn how to create and configure storage accounts efficiently.
- Gain the expertise to set up and manage blob storage effectively.
- Master the creation and configuration of files and storage networking for optimal performance.
- Acquire knowledge on implementing encryption practices and ensuring secure application access within storage systems.

This SAP on Azure (AZ-120) training course is designed for IT Professionals with experience in SAP solutions, guiding them on utilizing Azure resources. The course covers the deployment and configuration of virtual machines, virtual networks, storage accounts, and Microsoft Entra, including the implementation and management of hybrid identities. Through a combination of concepts, scenarios, procedures, and hands-on labs, students will learn how to effectively plan and execute the migration and operation of an SAP solution on Azure.

Participants will gain expertise in creating and scaling virtual machines, implementing storage solutions, configuring virtual networking, performing data backup and sharing, establishing connections between Azure and on-premises sites, managing network traffic, implementing Microsoft Entra, securing identities, monitoring solutions, and receiving guidance on subscriptions.

Objectives

- SAP Expertise on Azure
- Improved Performance and Scalability
- Cost Optimization
- High Availability and Disaster Recovery
- Security and Compliance
- Integration with Azure Services
- Migration to Azure
- Performance Tuning and Monitoring
- Automation and DevOps Integration
- Comprehensive SAP on Azure Architecture
- Real-world Scenarios and Case Studies

The Windows Server Hybrid Core Infrastructure course provides IT Professionals with the knowledge to oversee essential Windows Server workloads and services utilising on-premises, hybrid, and cloud technologies. IT Professionals will learn to implement and manage on-premises and hybrid solutions, covering areas such as identity, management, compute, networking, and storage within a Windows Server hybrid environment.

Objectives

- Use administrative techniques and tools in Windows Server.
Identify tools used to implement hybrid solutions, including Windows Admin Center and - - - - PowerShell.
- Implement identity services in Windows Server.
- Implement identity in hybrid scenarios, including Microsoft Entra on Azure IaaS and managed Microsoft Entra.
- Integrate Microsoft Entra.
- Manage network infrastructure services.
- Deploy Azure VMs running Windows Server and configure networking and storage.
- Administer and manage Windows Server IaaS Virtual Machine remotely.
- Manage and maintain Azure VMs running Windows Server.
- Configure file servers and storage.
- Implement File Services in hybrid scenarios, using Azure Files and Azure File Sync.

This course instructs developers on creating applications using the SQL API and SDK for Azure Cosmos DB. Participants will acquire skills in crafting efficient queries, establishing indexing policies, managing and provisioning resources, and executing common operations with the SDK.

The course on Designing & Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure & Power-BI (DP-500) addresses techniques and methodologies for executing advanced data analytics on a large scale. Participants will enhance their existing analytics skills and gain proficiency in implementing and overseeing a data analytics environment. The curriculum covers querying and transforming data, implementing and managing data models, and exploring and visualizing data. Throughout the course, students will utilize Microsoft Purview, Azure Synapse Analytics, and Power BI to construct comprehensive analytics solutions.

The Administering Microsoft Azure SQL Solutions (DP-300) certification course imparts students with the knowledge and skills required to administer a SQL Server database infrastructure across cloud, on-premises, and hybrid relational databases. This course is particularly beneficial for those working with Microsoft PaaS relational database offerings. It is also valuable for individuals involved in developing applications that retrieve content from SQL-based relational databases.

This one-day course acts as a crucial step for individuals moving from foundational to entry-level associate skills in the IT field. Designed for aspiring infrastructure and security administrators, as well as architects, the program provides hands-on training in the configuration and security of network resources.
Participants engage in practical exercises that concentrate on tasks such as creating and configuring virtual networks, network routing, DNS Zones, DNS Settings, network security groups, and Azure Firewall. Ideal for those looking to enhance their expertise, this course provides an essential skill set applicable to various IT roles.

Transitioning from foundational to intermediate IT skills, this course is a crucial step for individuals pursuing roles in development, infrastructure, and security. Participants will acquire practical experience in configuring and securing pipelines using Azure DevOps.
The course delves into key subjects such as secure resource access, permissions validation, project structuring, pipeline extension, and secure variable usage. By doing so, it equips learners with the ability to effectively manage identities across projects, pipelines, and agents.

This Azure Network Training instructs Network Engineers on the principles of designing, implementing, and sustaining Azure networking solutions. The curriculum encompasses the design, implementation, and administration of core Azure networking infrastructure, connections for Hybrid Networking, traffic load balancing, network routing, private access to Azure services, network security, and monitoring. Participants will acquire the skills to design and implement a secure and dependable network infrastructure in Azure, along with establishing hybrid connectivity, routing, private access to Azure services, and monitoring within the Azure environment.

The Certificate of Cloud Security Knowledge (CCSK) equips a wide range of professionals—from information security experts and CEOs to department managers and technical sales teams—with the ability to use cloud services more securely and confidently address cloud security concerns.
The CCSK provides a comprehensive overview of cloud security, offering critical insights into key issues such as data security, key management, and identity and access management.

The Certificate of Cloud Security Knowledge (CCSK) equips a wide range of professionals—from information security experts and CEOs to department managers and technical sales teams—with the ability to use cloud services more securely and confidently address cloud security concerns.

The CCSK provides a comprehensive overview of cloud security, offering critical insights into key issues such as data security, key management, and identity and access management.

In this course, you will learn the fundamental principles of auditing cloud computing systems to successfully earn the Cloud Audit Certification (CCAK).
The CCAK Certification training program was created by the Cloud Security Alliance, a global leader in cloud security best practices, in collaboration with ISACA, an international professional association specializing in IT audit, security, cybersecurity, risk, privacy, and governance.
The training includes cloud computing technologies such as Microsoft Azure, along with security practices related to physical infrastructure, cloud resource access control, and the protection of sensitive data. Topics such as load balancers, security operations centers (SOCs), and cloud environment security are also covered.

Upon completing the training, participants will be prepared to take the CCSP exam. Passing the exam and earning the CCSP certification establishes a recognized industry standard for cloud security expertise.

This thorough CompTIA Cloud+ course is meticulously structured to furnish you with the essential skills required to excel in the CompTIA Cloud+ CV0-003 exam and attain your certification. Covering a diverse array of topics, ranging from crafting secure and compliant cloud infrastructures to scrutinizing workload characteristics and troubleshooting connectivity issues, this training will empower you to adeptly manage workload migrations and uphold cloud security standards.

Moreover, with flexible options for both in-person and online training, you have the freedom to learn in a manner that aligns with your schedule. Seize this opportunity to embark on the journey of becoming a proficient cloud architect and elevate your IT career to new heights!

Azure DevOps provides a set of cloud-hosted tools that software development teams can use as an end-to-end solution to deliver value in the form of working software. Azure Test Plans enable a team to plan, track, and assess quality throughout the entire development effort. This one day course will demonstrate how an agile team can configure and use Azure Test Plans to effectively assure quality in web and desktop applications. To maximize learning, students will work in teams, in a common Azure DevOps project, on a common case study.
Who should take this class?
This course is appropriate for all members of a software development team, especially those who are actively involved in defining, assuring, and increasing the overall quality of their software product. This course will also provide value for individuals outside the development team (managers, Scrum Masters, coaches, and other stakeholders) who want hands-on exposure to the capabilities of Azure Test Plans.