Language models enable AI solutions to comprehend the underlying intent of spoken or written communication and generate relevant replies. Using Microsoft Foundry, developers can build intelligent applications and agents equipped to evaluate text, perform language translation, and handle both speech transcription and synthesis. **Course Requirements** Prior to beginning this module, you must have: * Basic programming skills. * A working knowledge of the Azure platform and its portal.

Generative artificial intelligence (AI) is becoming increasingly accessible through integrated development environments and platforms such as Microsoft Foundry. This module introduces how to develop generative AI solutions that leverage language models to communicate and interact with users. Prerequisites Before beginning this module, you should have a basic understanding of AI concepts and Azure AI services. Some prior programming knowledge and experience are also recommended.

Wondering how artificial intelligence can enhance your daily workflow? This module covers the fundamentals of generative AI and its practical applications in the workplace. You will also learn the importance of grounding for accurate results, identify key use cases for AI agents, and discover how to adopt these tools responsibly and securely. Engaging & Conversational Ready to put AI to work for you? In this lesson, we'll break down the essentials of generative AI and show you exactly how it can assist with your daily tasks. We’ll also dive into why grounding makes AI responses more reliable, when to bring in AI agents, and how to use these powerful tools ethically and with confidence. Concise & Action-Oriented Interested in leveraging AI professionally? This course teaches you how to: Master the core principles of generative AI. Streamline everyday workplace tasks. Use grounding techniques to improve AI accuracy. Identify the best scenarios for deploying AI agents. Adopt AI technologies safely and responsibly.

Overview- Learn AI agents—from development and testing to deployment—using Microsoft Foundry Agent Service. You will gain hands-on experience working in both the Azure management portal and the Visual Studio Code extension. Audience - Targeted at software engineers, data specialists, and IT professionals, this training focuses on constructing scalable AI agents within Microsoft Azure. Learners with foundational coding and cloud experience will gain the practical skills needed to deploy smart, interactive AI tools for commercial or personal applications.

Definition This course covers the core administrative tasks required to maintain and optimize Microsoft Azure environments. It delivers practical training on building, overseeing, and safeguarding essential cloud infrastructure—including identity structures, governance policies, data storage systems, compute instances, and virtual networking setup. Role Cloud administrators serve as the operational core of an organization's cloud deployment. Key duties involve provisioning infrastructure, balancing capacity, monitoring ecosystem health, and deploying compute and networking resources. Professionals in this position handle application requests, interface with technical stakeholders, and maintain systems using the Azure Portal along with command-line tools like PowerShell and Azure CLI to automate routine workflows. Audience This program is intended for IT systems administrators, cloud engineers, and technical personnel responsible for managing end-to-end cloud infrastructure. It suits specialists who implement user infrastructure requests, advise on cloud service optimization, and maintain system stability across the complete IT lifecycle. Prequisite Learners should enter this course with foundational experience in core IT concepts, including: Virtualization & OS: Practical understanding of host systems, virtual machines, virtual networks, and disk files. Networking: Knowledge of TCP/IP addressing, Domain Name System (DNS), firewalls, virtual private networks (VPNs), and cryptographic security. Identity Management: Familiarity with Microsoft Entra ID concepts, including directory users, group structures, and Role-Based Access Control (RBAC). Disaster Recovery: Basic grasp of backup strategies, restore operations, and business continuity planning.

As a DevOps engineer, you function as either a developer or an infrastructure administrator who also brings subject matter expertise in aligning people, processes, and technologies to support the continuous delivery of value within an organization. In this role, your responsibilities include delivering Microsoft DevOps solutions that enable continuous security, integration, testing, delivery, deployment, monitoring, and feedback. You are responsible for designing and implementing workflows, as well as fostering collaboration, communication, source control practices, and automation. As a DevOps engineer, you collaborate within cross-functional teams that may include: Developers Site reliability engineers Azure administrators Security engineers You are expected to have experience in both administering and developing within Azure, with strong proficiency in at least one of these areas. Additionally, you should have hands-on experience implementing solutions using both GitHub and Azure DevOps.

Overview The AI-102: Develop AI Solutions in Azure course is designed for developers who want to create AI-powered applications using Azure’s ecosystem, including Azure AI Foundry and related AI services. The course covers key areas such as building generative AI applications, designing AI agents, and implementing solutions that use computer vision and data extraction techniques. Audience Profile This course is aimed at software developers responsible for designing, deploying, and maintaining AI-driven solutions on Azure. Participants are expected to have experience with programming languages like C# or Python, along with a working understanding of REST APIs and SDKs. They should also be familiar with developing solutions involving generative AI, computer vision, language processing, and information extraction.