DP-100T01 Designing and Implementing a Data Science Solution on Azure

AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C# or Python as the programming language.

This course provides students with the fundamental knowledge and skills to use PowerShell for administering and automating administration of Windows servers.

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

This course shows experienced Azure administrators how to plan, deliver, and manage virtual desktop experiences and remote apps, for any device, on Azure. Students will learn through a mix of demonstrations and hands-on lab experiences deploying virtual desktop experiences and apps on Azure Virtual Desktop and optimizing them to run in multi-session virtual environments.

This course teaches developers how to create end-to-end solutions in Microsoft Azure. Students will learn how to implement Azure compute solutions, create Azure Functions, implement and manage web apps, develop solutions utilizing Azure storage, implement authentication and authorization, and secure their solutions by using KeyVault and Managed Identities. Students will also learn how to connect to and consume Azure services and third-party services, and include event- and message-based models in their solutions. The course also covers monitoring, troubleshooting, and optimizing Azure solutions.

This course teaches Azure Solution Architects how to design infrastructure solutions. Course topics cover governance, compute, application architecture, storage, data integration, authentication and identity, networks, high availability, business continuity, and migrations. The course combines lecture with case studies to demonstrate basic architect design principles.

This course provides the knowledge and skills to design and implement DevOps processes and practices. Students will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern, and optimize feedback mechanisms.

This course teaches Network Engineers how to design, implement, and maintain Azure networking solutions. Students cover the process of designing, implementing, and managing core Azure networking infrastructure, Hybrid Networking connections, load balancing traffic, network routing, private access to Azure services, network security and monitoring.

This course teaches IT Professionals how to manage core Windows Server workloads and services using on-premises, hybrid, and cloud technologies. The course teaches IT Professionals how to implement and manage on-premises and hybrid solutions such as identity, management, compute, networking, and storage in a Windows Server hybrid environment.

This course teaches IT Professionals to configure advanced Windows Server services using on-premises, hybrid, and cloud technologies. The course teaches IT Professionals how to leverage the hybrid capabilities of Azure, how to migrate virtual and physical server workloads to Azure IaaS, and how to secure Azure VMs running Windows Server. The course also teaches IT Professionals how to perform tasks related to high availability, troubleshooting, and disaster recovery. The course highlights administrative tools and technologies including Windows Admin Center, PowerShell, Azure Arc, Azure Automation Update Management, Microsoft Defender for Identity, Azure Security Center, Azure Migrate, and Azure Monitor.

This course will provide foundational level knowledge on cloud concepts; core Azure services; and Azure management and governance features and tools.

This course will teach the basics of Microsoft's dialect of the standard SQL language: Transact-SQL. Topics include both querying and modifying data in relational databases that are hosted in Microsoft SQL Server-based database systems, including: Microsoft SQL Server, Azure SQL Database and, Azure Synapse Analytics.

This course provides students with the knowledge and skills to administer a SQL Server database infrastructure for cloud, on-premises and hybrid relational databases and who work with the Microsoft PaaS relational database offerings. Additionally, it will be of use to individuals who develop applications that deliver content from SQL-based relational databases.

This course teaches developers how to create application using the SQL API and SDKs for Azure Cosmos DB. Students will learn how to write efficient queries, create indexing policies, manage and provisioned resources, and perform common operations with the SDKs.

This course covers methods and practices for performing advanced data analytics at scale. Students will build on existing analytics experience and will learn to implement and manage a data analytics environment, query and transform data, implement and manage data models, and explore and visualize data. In this course, students will use Azure Purview, Azure Synapse Analytics, and Power BI to build analytics solutions.

This course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept. This course will explore the powerful capabilities of Apache Spark for distributed data processing and the essential techniques for efficient data management, versioning, and reliability by working with Delta Lake tables. This course will also explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines. This course includes a combination of lectures and hands-on exercises that will prepare you to work with lakehouses in Microsoft Fabric. This course may earn a Credly badge.

This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.

Oracle 19C Database Administration I (Oracle DBA I) is a comprehensive, hands-on course provides concrete information on the design of an Oracle Database instance and database, allowing you to manage your database investment. In this class, you will learn how to create database storage structures that align with your requirements and business models. You will also learn how to create users and administer databases as well as harden the databases to meet your business requirements. This is the foundational course for learning about Oracle Database and it does not assume prior knowledge or Oracle technologies, however you should have incoming experience working with SQL, and be comfortable with Linux and working from the command line. This training is NOT Official Oracle University training.

Geared for participants experienced with Oracle 19c DBA essentials Oracle 19c Database Administration II (Oracle DBA II) expands their understanding of Oracle database administration. Throughout the course students will explore coverage of Multitenant (CDB/PDB), database tuning, SQL tuning, and backup and recovery: the skills needed to keep a database running reliably and efficiently. The current release of the database is used for exercises and demonstrations, and the content back-ported as necessary for previous releases.

Geared for DBAs and other technical support staff, Oracle Database 19c Backup and Recovery is a hands-on course that allows you to develop appropriate backup and recovery procedures to address their business model and requirements. Throughout the course you'll explore how to implement basic backup and recovery procedures, move data between databases and files, and employ basic monitoring procedures.

In this course, students will define cloud computing technology and describe its impact on IT scenario.

This course is for students that are looking to learn how to use Copilot alongside their Microsoft 365 apps, the Power Platform and create new Copilot experiences in Copilot Studio and AI builder.

This course covers methods and practices for implementing and managing enterprise-scale data analytics solutions using Microsoft Fabric. Students will build on existing analytics experience and will learn how to use Microsoft Fabric components, including lakehouses, data warehouses, notebooks, dataflows, data pipelines, and semantic models, to create and deploy analytics assets.

Generative Artificial Intelligence (GenAI) tools like ChatGPT, Copilot, Gemini™, and Claude have revolutionized the way business users approach their work. These tools enhance productivity by speeding up tasks and offering creative solutions.

No matter what spreadsheet software you use, what the data is about, or how it's structured, you can use freely available generative AI tools to enhance your productivity and help you find solutions to problems that can guide crucial business decisions.

This course is designed to help business professionals conquer and move beyond the basics of AI to apply AI concepts for the benefit of the business. It will give you the essential knowledge of AI you'll need to steer the business forward.

This course is designed to demystify generative AI for business professionals, as well as to trace its power to actionable, real-world business goals. It will give you the essential knowledge of generative AI you'll need to elevate the organization in these exciting times.

This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions.

Students perform a series of hands-on exercises involving seven Use Cases - Executives, Sales, Marketing, Finance, IT, HR, and Operations. These exercises focus on using Copilot in various Microsoft 365 apps (such as Word, PowerPoint, Outlook, and so on) to complete a series of common business-related tasks pertaining to each Use Case.

This presentation explores the multifaceted world of Artificial Intelligence (AI)

This course focuses on leveraging Microsoft 365 Copilot to effectively create, analyze, and showcase content.

This course explores how to extend Microsoft 365 Copilot's capabilities through graph connectors and agents, guiding participants through the selection of the most suitable development path. Concluding with the management and distribution of extensions, this course allows learners to explore the Microsoft 365 Admin center for extension administration.

The course also covers best practices for building high-quality plugins and connectors, as well as data, privacy, and security considerations.

In this course, you will explore key concepts such as natural language processing, machine learning, and bot development, which are essential for building AI-driven applications.

Participants will learn to configure and utilize AI Skills in Azure AI Search, focusing on the management of search indexes and implementing AI-driven enhancements like image analysis and natural language processing.

Attendees will work on real-world projects, ensuring they can apply what they learn to develop and manage AI projects within Azure AI Studio.

This course would cover concepts such as Analyzing images and videos for insights, automating image-processing tasks, and building and deploying vision-based AI models. It showcases a practical understanding of Azure's computer vision tools and how to apply them to solve real-world problems.

By utilizing Azure AI, businesses can improve user engagement, automate customer service, and gain a competitive edge through advanced data analysis and AI-driven decision-making processes.

The AI-3002 course showcases expertise in implementing solutions that can analyze, interpret, and manipulate documents using Azure AI services. It is designed for professionals skilled in Azure Cognitive Services, specifically Form Recognizer and other Azure AI tools that extract insights from documents. Industries leverage this certification to ensure their workforce can automate the processing of various document types, enhance data accuracy, and derive actionable insights.

The AI-3025: Work Smarter with AI course equips students with essential skills and knowledge to integrate AI technologies into their workflows, enhancing productivity and decision-making through practical applications and tools.

By the end of the course, participants will be able to design, develop, and publish sophisticated reports and dashboards that efficiently convey information and facilitate decision-making.

The MS-4002 course focuses on preparing security and compliance in the context of Microsoft 365 Copilot, equipping students with essential skills to manage data protection, privacy, and compliance effectively within the Microsoft 365 environment.

Microsoft 365 Copilot is a game-changing AI solution that transforms productivity and decision-making across your organization