Developing Intelligent Bots with Azure Training Course

About This Course

In this course, participants will acquire the skills to design and develop services that interact with local and remote data from diverse sources. Additionally, learners will master the process of deploying services to hybrid environments, encompassing both on-premises servers and Microsoft Azure.

Audience Profile

Primary: .NET developers seeking to learn how to create services and deploy them within hybrid environments.
Secondary: .NET developers with prior web application development experience who are interested in building new applications or migrating existing ones to Microsoft Azure.

At Course Completion

Upon finishing this course, students will be equipped to:

• Explain the fundamental concepts of service development and data access strategies using the .NET platform.
• Describe the Microsoft Azure cloud platform, along with its compute, data, and application hosting offerings.
• Design and develop data-centric applications utilizing Visual Studio 2017 and Entity Framework Core.
• Design, implement, and consume HTTP services using ASP.NET Core.
• Extend HTTP services via ASP.NET Core.
• Host services both on-premises and within Microsoft Azure.
• Deploy services to on-premises and cloud environments, and manage their service interfaces and policies.
• Select appropriate data storage solutions, and manage data caching, distribution, and synchronization.
• Monitor, log, and troubleshoot services.
• Describe claim-based identity concepts and standards, and implement authentication and authorization using Azure Active Directory.
• Create scalable service applications.

Acquire the essential skills required to design Azure AI solutions by constructing a customer support chatbot leveraging artificial intelligence on the Microsoft Azure platform. This includes implementing language understanding capabilities and utilising pre-built AI functionalities available through Azure Cognitive Services.

About This Course

This course provides an introduction to the core concepts of artificial intelligence (AI) and the Microsoft Azure services available for building AI solutions. The program is not intended to train students to become professional data scientists or software developers; instead, it aims to build awareness of common AI workloads and the ability to identify appropriate Azure services to support them. Designed as a blended learning experience, the course combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises are based on Learn modules, and students are encouraged to use Learn content as a reference to reinforce classroom learning and explore topics in greater depth.

Audience Profile

The Azure AI Fundamentals course is designed for anyone interested in understanding the types of solutions that artificial intelligence (AI) enables, and the Microsoft Azure services available to create them. No prior experience with Microsoft Azure is required, though a basic familiarity with computer technology and the Internet is assumed. Some concepts covered require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities involving data work and code execution, so a knowledge of fundamental programming principles will be helpful.

At Course Completion

After completing this course, you will be able to:

• Describe Artificial Intelligence workloads and considerations
• Describe fundamental principles of machine learning on Azure
• Describe features of computer vision workloads on Azure
• Describe features of Natural Language Processing (NLP) workloads on Azure
• Describe features of conversational AI workloads on Azure

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 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 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.

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 Solutions Architects with the skills to translate business requirements into secure, scalable, and reliable cloud solutions. Key topics include virtualization, automation, networking, storage, identity management, security, data platforms, and application infrastructure. The curriculum explains how decisions in each of these areas impact the overall solution architecture.

Audience profile

This course is designed for IT Professionals who specialize in designing and implementing solutions on Microsoft Azure. Participants should possess broad knowledge of IT operations, covering networking, virtualization, identity, security, business continuity, disaster recovery, data platforms, budgeting, and governance. Azure Solution Architects utilize the Azure Portal and, as their proficiency grows, the Command Line Interface. Candidates must demonstrate expert-level skills in Azure administration, along with experience in Azure development and DevOps processes.

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.

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 training equips IT Security Professionals with the essential knowledge and skills to implement security controls, maintain an organization’s security posture, and identify and remediate security vulnerabilities. The curriculum covers security for identity and access, platform protection, data and applications, and security operations.

Audience profile

This course is designed for Azure Security Engineers who are preparing for the associated certification exam or who handle security tasks in their daily work. It is also beneficial for engineers seeking to specialize in securing Azure-based digital platforms and playing a key role in protecting an organization's data.

Skills gained

• Implement enterprise governance strategies including role-based access control, Azure policies, and resource locks.
• Implement an Azure AD infrastructure including users, groups, and multi-factor authentication.
• Implement Azure AD Identity Protection including risk policies, conditional access, and access reviews.
• Implement Azure AD Privileged Identity Management including Azure AD roles and Azure resources.
• Implement Azure AD Connect including authentication methods and on-premises directory synchronization.
• Implement perimeter security strategies including Azure Firewall.
• Implement network security strategies including Network Security Groups and Application Security Groups.
• Implement host security strategies including endpoint protection, remote access management, update management, and disk encryption.
• Implement container security strategies including Azure Container Instances, Azure Container Registry, and Azure Kubernetes.
• Implement Azure Key Vault including certificates, keys, and secrets.
• Implement application security strategies including app registration, managed identities, and service endpoints.
• Implement storage security strategies including shared access signatures, blob retention policies, and Azure Files authentication.
• Implement database security strategies including authentication, data classification, dynamic data masking, and always encrypted.
• Implement Azure Monitor including connected sources, log analytics, and alerts.
• Implement Azure Security Center including policies, recommendations, and just in time virtual machine access.
• Implement Azure Sentinel including workbooks, incidents, and playbooks.

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 training enables delegates to enhance their skills in designing Microsoft Azure solutions.

Upon completion, delegates will understand the features and capabilities of Azure services, allowing them to identify trade-offs and make informed decisions when designing public and hybrid cloud solutions.

Throughout the training, appropriate infrastructure and platform solutions will be defined to meet functional, operational, and deployment requirements across the solution lifecycle.

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 instructor-led, live training in Kenya (online or onsite) is aimed at security administrators who wish to learn how to configure Azure cloud security to secure workloads running in Azure.

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

• Set up host and network security.
• Implement advanced Azure security features.
• Leverage Azure to protect cloud computing workloads.
• Utilize endpoint protection services to defend against malware and viruses.
• Secure container workloads operating within Azure.