Online Azure Training in Kenya

This instructor-led, live training in Kenya (online or onsite) is designed for intermediate-level Java developers, software engineers, and cloud enthusiasts who want to leverage Azure OpenAI to build intelligent applications.

Upon completing this training, participants will be able to:

• Grasp the core principles of Generative AI and its practical applications.
• Configure and manage Azure OpenAI services.
• Integrate OpenAI models into Java applications.
• Deploy AI-driven features within web applications.

This instructor-led live training in Kenya (online or onsite) is targeted at intermediate-level cloud engineers and IT professionals who aim to use Terraform to automate the deployment, management, and scaling of infrastructure on the Azure cloud platform.

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

• Understand the basics of Terraform and its benefits in infrastructure as code.
• Set up and configure Terraform for Azure.
• Develop, test, and deploy Terraform configuration files for various Azure services.
• Use Terraform for managing and scaling Azure resources.
• Implement best practices for Terraform state management and version control.
• Integrate Terraform with Azure DevOps for automated deployments.
• Create reusable Terraform modules for consistent resource provisioning.
• Utilize advanced features of Terraform for complex infrastructure deployments.

This live, instructor-led training in Kenya (online or onsite) is designed for intermediate to advanced professionals aiming to build and deploy AI-powered cloud applications using Microsoft Azure.

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

• Develop event-driven and serverless applications using Azure Functions.
• Manage Azure storage solutions and virtual machines.
• Deploy and scale web applications using Azure App Service and Docker containers.
• Integrate AI, machine learning, and natural language processing using Azure AI Services.
• Leverage GitHub Copilot to assist in AI-driven cloud application development.

This instructor-led live training in Kenya (online or onsite) targets intermediate-level data engineers who aim to become proficient in utilizing Azure Synapse Analytics for a wide array of data processing, analytics, and visualization tasks.

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

• Understand the core concepts, architecture, and components of Azure Synapse Analytics.
• Create, configure, and manage scalable data warehouses using Azure Synapse.
• Master techniques for ingesting, transforming, and loading data (ETL) from various sources into Azure Synapse.
• Optimize query performance, secure data, and integrate Azure Synapse with Power BI and other tools to visualize data and share insights.

This instructor-led live training in Kenya (online or on-site) is designed for intermediate-level data engineers who aim to leverage Azure Data Lake Storage Gen2 for effective data analytics solutions.

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

• Understand the architecture and key features of Azure Data Lake Storage Gen2.
• Optimize data storage and access for cost and performance.
• Integrate Azure Data Lake Storage Gen2 with other Azure services for analytics and data processing.
• Develop solutions using the Azure Data Lake Storage Gen2 API.
• Troubleshoot common issues and optimize storage strategies.

In this instructor-led live training at Kenya (online or onsite), participants will learn how to set up and manage a production-scale container environment using Kubernetes on AKS.

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

• Configure and manage Kubernetes on AKS.
• Deploy, manage and scale a Kubernetes cluster.
• Deploy containerised (Docker) applications on Azure.
• Migrate an existing Kubernetes environment from on-premise to AKS cloud.
• Integrate Kubernetes with third-party continuous integration (CI) software.
• Ensure high availability and disaster recovery in Kubernetes.

This course equips Solutions Architects with the skills to transform business requirements into secure, scalable, and reliable technical solutions. The curriculum covers critical design considerations such as logging, cost management, authentication, authorization, governance, security, storage, high availability, and migration strategies. Professionals in this role must make informed decisions across multiple domains to shape an effective overall design.

This course teaches you how to investigate, respond to, and hunt for threats using Microsoft Azure Sentinel, Azure Defender, and Microsoft 365 Defender. You will learn to mitigate cyber threats by configuring and using Azure Sentinel and utilising Kusto Query Language (KQL) for detection, analysis, and reporting. Designed for professionals in Security Operations roles, this course aids in preparation for the SC-200: Microsoft Security Operations Analyst exam.

Audience Profile

Microsoft Security Operations Analysts collaborate with organizational stakeholders to secure IT systems, aiming to reduce risk by rapidly remediating active attacks, advising on threat protection improvements, and referring policy violations to relevant stakeholders. Key responsibilities include threat management, monitoring, and response across various security solutions. This role primarily investigates, responds to, and hunts for threats using Microsoft Azure Sentinel, Azure Defender, Microsoft 365 Defender, and third-party security products. As analysts rely on the operational output of these tools, they play a critical part in their configuration and deployment.

Job role: Security Engineer

Preparation for exam: SC-200

Features: none

Skills gained

• Explain how Microsoft Defender for Endpoint can remediate risks in your environment
• Create a Microsoft Defender for Endpoint environment
• Configure Attack Surface Reduction rules on Windows 10 devices
• Perform actions on a device using Microsoft Defender for Endpoint
• Investigate domains and IP addresses in Microsoft Defender for Endpoint
• Investigate user accounts in Microsoft Defender for Endpoint
• Configure alert settings in Microsoft Defender for Endpoint
• Explain how the threat landscape is evolving
• Conduct advanced hunting in Microsoft 365 Defender
• Manage incidents in Microsoft 365 Defender
• Explain how Microsoft Defender for Identity can remediate risks in your environment
• Investigate DLP alerts in Microsoft Cloud App Security
• Explain the types of actions you can take on an insider risk management case
• Configure auto-provisioning in Azure Defender
• Remediate alerts in Azure Defender
• Construct KQL statements
• Filter searches based on event time, severity, domain, and other relevant data using KQL
• Extract data from unstructured string fields using KQL
• Manage an Azure Sentinel workspace
• Use KQL to access the watchlist in Azure Sentinel
• Manage threat indicators in Azure Sentinel
• Explain the Common Event Format and Syslog connector differences in Azure Sentinel
• Connect Azure Windows Virtual Machines to Azure Sentinel
• Configure Log Analytics agent to collect Sysmon events
• Create new analytics rules and queries using the analytics rule wizard
• Create a playbook to automate an incident response
• Use queries to hunt for threats
• Observe threats over time with livestream

This course equips learners with the essential knowledge and skills required to administer and automate Windows server environments using PowerShell. Participants will develop the ability to identify and construct the necessary commands to execute specific tasks. Furthermore, students will learn to build scripts for advanced operations, such as automating routine activities and generating reports. The course provides prerequisite skills applicable to a wide array of Microsoft products, including Windows Server, Windows Client, Microsoft Azure, and Microsoft 365. Aligning with this objective, the course does not concentrate on a single product; however, Windows Server serves as the primary example platform for the techniques taught, as it is the common foundation for these products.

This course equips Azure administrators with the skills to plan, deliver, and manage virtual desktop experiences and remote applications for any device on Azure. Through a combination of demonstrations and hands-on labs, students will deploy virtual desktop environments and applications on Azure Virtual Desktop, learning to optimize them for multi-session virtual environments.

This course equips IT Professionals with the skills to manage Azure subscriptions, secure identities, administer infrastructure, configure virtual networking, connect Azure with on-premises sites, manage network traffic, implement storage solutions, create and scale virtual machines, deploy web apps and containers, back up and share data, and monitor your solutions.

This course is designed for Azure Administrators. The Azure Administrator manages, implements, and monitors identity, governance, storage, compute, and virtual networks within a cloud environment. The Azure Administrator provisions, sizes, monitors, and adjusts resources as necessary.

Key Skills Acquired

• Formulate governance strategies.
• Develop compute architectures.
• Construct application architectures.
• Design both non-relational and relational storage systems.
• Create data integration solutions.
• Establish authentication, authorization, and identity frameworks.
• Architect network solutions.
• Develop backup and disaster recovery plans.
• Design monitoring frameworks.
• Plan migration strategies.

This instructor-led, live training in Kenya (online or onsite) is aimed at beginner-level, intermediate-level, and advanced-level developers and technical professionals who wish to use Microsoft Azure to build, test, and deploy AI agents for business applications.

By the end of this training, participants will be able to: understand AI agent architecture on Azure, create and configure a working agent, connect agents to business knowledge sources, evaluate and prepare agents for deployment.

This instructor-led, live training in Kenya (online or onsite) is aimed at DevOps engineers, developers, and project managers who wish to utilize Azure DevOps to build and deploy optimized enterprise applications faster than traditional development approaches.

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

• Understand the fundamental DevOps vocabulary and principles.
• Install and configure the necessary Azure DevOps tools for software development.
• Utilize Azure DevOps tools and services to continuously adapt to the market.
• Build enterprise applications and evaluate current development processes upon Azure DevOps solutions.
• Manage teams more efficiently and accelerate software deployment time.
• Adopt DevOps development practices within the organization.

This intensive three-day programme is designed for IT professionals who possess hands-on experience in managing on-premises Windows Server environments. It aims to equip these professionals with the skills needed to plan, implement, and manage infrastructures that incorporate Azure IaaS-hosted Windows Server workloads. Key topics include leveraging Azure’s hybrid capabilities, migrating virtual and physical server workloads to Azure IaaS, and effectively managing and securing Azure virtual machines running Windows Server 2019.