Prerequisites:

There are no prerequisites for taking this course. Familiarity with cloud computing is helpful but isn’t necessary.

Target Audience:

This course is suitable for IT personnel who are just beginning to work with Azure. This audience wants to learn about our offerings and get hands-on experience with the product. This course primarily uses the Azure portal and command line interface to create resources and does not require scripting skills. Students in this course will gain confidence to take other role-based courses and certifications, such as Azure Administrator. This course combines lecture, demonstrations, and hands-on labs. This course will also help prepare someone for the AZ-900 exam.

Course Objectives:

After completing this course, students will be able to:

• Describe cloud computing
• Describe the benefits of using cloud services
• Describe cloud service types
• Describe the core architectural components of Azure
• Describe Azure compute and networking services
• Describe Azure storage services
• Describe Azure identity, access, and security
• Describe cost management in Azure
• Describe features and tools in Azure for governance and compliance
• Describe features and tools for managing and deploying Azure resources
• Describe monitoring tools in Azure

Course Outline:

Module 1: Describe cloud computing

• Define cloud computing.
• Describe the shared responsibility model.
• Define cloud models, including public, private, and hybrid.
• Identify appropriate use cases for each cloud model.
• Describe the consumption-based model.
• Compare cloud pricing models.

Module 2: Describe the benefits of using cloud services

• Describe the benefits of high availability and scalability in the cloud.
• Describe the benefits of reliability and predictability in the cloud.
• Describe the benefits of security and governance in the cloud.
• Describe the benefits of manageability in the cloud.

Module 3: Describe cloud service types

• Describe Infrastructure as a Service (IaaS).
• Describe Platform as a Service (PaaS).
• Describe Software as a Service (SaaS).
• Identify appropriate use cases for each cloud service (IaaS, PaaS, SaaS).

Module 4: Describe the core architectural components of Azure

• Describe Azure regions, region pairs, and sovereign regions
• Describe Availability Zones
• Describe Azure datacenters
• Describe Azure resources and Resource Groups
• Describe subscriptions
• Describe management groups
• Describe the hierarchy of resource groups, subscriptions, and management groups

Module 5: Describe Azure compute and networking services

• Compare compute types, including container instances, virtual machines, and functions
• Describe virtual machine (VM) options, including VMs, virtual machine scale sets, availability sets, Azure Virtual Desktop
• Describe resources required for virtual machines
• Describe application hosting options, including Azure Web Apps, containers, and virtual machines
• Describe virtual networking, including the purpose of Azure Virtual Networks, Azure virtual subnets, peering, Azure DNS, VPN Gateway, and ExpressRoute
• Define public and private endpoints

Module 6: Describe Azure storage services

• Compare Azure storage services
• Describe storage tiers
• Describe redundancy options
• Describe storage account options and storage types
• Identify options for moving files, including AzCopy, Azure Storage Explorer, and Azure File Sync
• Describe migration options, including Azure Migrate and Azure Data Box

Module 7: Describe Azure identity, access, and security

• Describe directory services in Azure, including Azure Active Directory (AD) and Azure AD DS
• Describe authentication methods in Azure, including single sign-on (SSO), multifactor authentication (MFA), and passwordless
• Describe external identities and guest access in Azure
• Describe Azure AD Conditional Access
• Describe Azure Role-Based Access Control (RBAC)
• Describe the concept of Zero Trust
• Describe the purpose of the defense in depth model
• Describe the purpose of Microsoft Defender for Cloud

Module 8: Describe cost management in Azure

• Describe factors that can affect costs in Azure
• Compare the Pricing calculator and Total Cost of Ownership (TCO) calculator
• Describe Azure Cost Management Tool
• Describe the purpose of tags

Module 9: Describe features and tools in Azure for governance and compliance

• Describe the purpose of Azure Blueprints
• Describe the purpose of Azure Policy
• Describe the purpose of resource locks
• Describe the purpose of the Service Trust portal

Module 10: Describe features and tools for managing and deploying Azure resources

• Describe Azure portal
• Describe Azure Cloud Shell, including Azure CLI and Azure PowerShell
• Describe the purpose of Azure Arc
• Describe Azure Resource Manager (ARM) and Azure ARM templates

Module 11: Describe monitoring tools in Azure

• Describe the purpose of Azure Advisor
• Describe Azure Service Health
• Describe Azure Monitor, including Azure Log Analytics, Azure Monitor Alerts, and Application Insights

Prerequisites:

Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts and an interest in using Azure AI services.

Specifically:

• Experience using computers and the internet.
• Interest in use cases for AI applications and machine learning models.
• A willingness to learn through hands-on exploration.

Target Audience:

The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.

Course Objectives:

Students will learn to:

• Fundamental AI Concepts
• Fundamentals of machine learning
• Fundamentals of Azure AI services
• Fundamentals of Computer Vision
• Fundamentals of Facial Recognition
• Fundamentals of Optical Character Recognition
• Fundamentals of Text Analysis with the Language Service
• Fundamentals of question answering with the Language Service
• Fundamentals of conversational language understanding
• Fundamentals of Azure AI Speech
• Fundamentals of Azure AI Document Intelligence
• Fundamentals of Knowledge Mining with Azure Cognitive Search
• Fundamentals of Generative AI
• Fundamentals of Azure OpenAI Service
• Fundamentals of Responsible Generative AI

Course Outline:

Module 1: Fundamental AI Concepts

• In this module, you’ll learn about the kinds of solutions AI can make possible and considerations for responsible AI practices.

Module 2: Fundamentals of machine learning

• Describe the core concepts of machine learning
• Identify different types of machine learning
• Describe considerations for training and evaluating machine learning models
• Describe the core concepts of deep learning
• Use automated machine learning in Azure Machine Learning service

Module 3: Fundamentals of Azure AI services

• Understand applications Azure AI services can be used to build
• Understand how to access Azure AI services in the Azure portal
• Understand how to use Azure AI services keys and endpoint for authentication
• Create and use an Azure AI services resource in a Content Safety Studio setting

Module 4: Fundamentals of Computer Vision

• Learn how to use the Azure AI Vision service to analyze images.

Module 5: Fundamentals of Facial Recognition

• Learn how to use Azure AI Face service to detect and analyze faces in images.

Module 6: Fundamentals of Optical Character Recognition

• Learn how to read text in images with Azure AI Vision.

Module 7: Fundamentals of Text Analysis with the Language Service

• Learn how to use Azure AI-Language for text analysis

Module 8: Fundamentals of question answering with the Language Service

• After completing this module, you’ll be able to understand how to use Azure AI-Language and Azure AI Bot Service to create a bot.

Module 9: Fundamentals of conversational language understanding

• Learn what conversational language understanding is.
• Learn about key features, such as intents and utterances.
• Build and publish a natural-language machine-learning model.

Module 10: Fundamentals of Azure AI Speech

• Learn about speech recognition and synthesis
• Learn how to use Azure AI Speech

Module 11: Fundamentals of Azure AI Document Intelligence

• Learn how to use the prebuilt receipt processing capabilities of Azure AI Document Intelligence.

Module 12: Fundamentals of Knowledge Mining with Azure Cognitive Search

• Explore Azure Cognitive Search
• Create an Azure Cognitive Search index
• Import data to the index
• Query the Azure Cognitive Search index

Module 13: Fundamentals of Generative AI

• Understand generative AI’s place in the development of artificial intelligence
• Understand large language models and their role in intelligent applications
• Describe how Azure OpenAI supports intelligent application creation
• Describe examples of copilots and good prompts

Module 14: Fundamentals of Azure OpenAI Service

• Describe Azure OpenAI workloads and access the Azure OpenAI Service
• Understand generative AI models
• Understand Azure OpenAI’s language, code, and image capabilities
• Understand Azure OpenAI’s responsible AI practices and limited access policies

Module 15: Fundamentals of Responsible Generative AI

• Describe an overall process for responsible generative AI solution development
• Identify and prioritize potential harms relevant to a generative AI solution
• Measure the presence of harms in a generative AI solution
• Mitigate harms in a generative AI solution
• Prepare to deploy and operate a generative AI solution responsibly

Prerequisites:

Prerequisite certification is not required before taking this course. Successful Azure Data Fundamentals students start with some basic awareness of computing and Internet concepts and an interest in extracting insights from data.

Specifically:

• Experience using a web browser, such as Microsoft Edge.
• Familiarity with basic data-related concepts, such as working with tables of data in a spreadsheet and visualizing data using charts.
• A willingness to learn through hands-on exploration.

Target Audience:

The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure.

Course Objectives:

Students will learn to:

• Explore core data concepts
• Explore data roles and services
• Explore fundamental relational data concepts
• Explore relational database services in Azure
• Explore Azure Storage for non-relational data
• Explore fundamentals of Azure Cosmos DB
• Explore fundamentals of large-scale data analytics
• Explore fundamentals of real-time analytics
• Explore fundamentals of data visualization

Course Outline:

Module 1: Explore core data concepts

• Identify common data formats
• Describe options for storing data in files
• Describe options for storing data in databases
• Describe the characteristics of transactional data processing solutions
• Describe the characteristics of analytical data processing solutions

Module 2: Explore data roles and services

• Identify common data professional roles
• Identify common cloud services used by data professionals

Module 3: Explore fundamental relational data concepts

• Identify characteristics of relational data
• Define normalization
• Identify types of SQL statement
• Identify common relational database objects

Module 4: Explore relational database services in Azure

• Identify options for Azure SQL services
• Identify options for open-source databases in Azure
• Provision a database service on Azure

Module 5: Explore Azure Storage for non-relational data

• Describe features and capabilities of Azure blob storage
• Describe the features and capabilities of Azure Data Lake Gen2
• Describe the features and capabilities of Azure file storage
• Describe features and capabilities of Azure table storage
• Provision and use an Azure Storage account

Module 6: Explore fundamentals of Azure Cosmos DB

• Describe key features and capabilities of Azure Cosmos DB
• Identify the APIs supported in Azure Cosmos DB
• Provision and use an Azure Cosmos DB instance

Module 7: Explore fundamentals of large-scale analytics

• Identify common elements of a data analytics solution
• Describe key features for data ingestion pipelines
• Identify common types of analytical data stores and related Azure services
• Describe platform-as-a-service (PaaS) data analytics solutions in Azure
• Provision Azure Synapse Analytics and use it to ingest, process, and query data
• Describe features of Microsoft Fabric – a software-as-a-service (SaaS) solution for data analytics
• Use Microsoft Fabric to ingest and analyze data

Module 8: Explore fundamentals of real-time analytics

• Compare batch and stream processing
• Describe common elements of streaming data solutions
• Describe the features and capabilities of Azure Stream Analytics
• Describe features and capabilities of Spark Structured Streaming on Azure
• Describe features and capabilities of real-time analytics in Microsoft Fabric

Module 9: Explore fundamentals of data visualization

• Describe a high-level process for creating reporting solutions with Microsoft Power BI
• Describe the core principles of analytical data modeling
• Identify common types of data visualization and their uses
• Create an interactive report with Power BI Desktop

Prerequisites:

Before attending this course, students must have:

• General understanding of networking and cloud computing concepts.
• General IT knowledge or any general experience working in an IT environment.
• General understanding of Microsoft Azure and Microsoft 365.

Target Audience:

The audience for this course is looking to familiarize themselves with the fundamentals of security, compliance, and identity (SCI) across cloud-based and related Microsoft services. The content for this course aligns to the SC-900 exam objective domain. Candidates should be familiar with Microsoft Azure and Microsoft 365 and understand how Microsoft security, compliance, and identity solutions can span across these solution areas to provide a holistic and end-to-end solution.

Course Objectives:

Students will learn to:

• Describe security and compliance concepts
• Describe identity concepts
• Describe the services and identity types of Microsoft Entra ID
• Describe the authentication capabilities of Microsoft Entra ID
• Describe the access management capabilities of Microsoft Entra ID
• Describe the identity protection and governance capabilities of Microsoft Entra
• Describe core infrastructure security services in Azure
• Describe security management capabilities in Azure
• Describe the capabilities in Microsoft Sentinel
• Describe threat protection with Microsoft 365 Defender
• Describe Microsoft’s Service Trust portal and privacy capabilities
• Describe the compliance management capabilities in Microsoft Purview
• Describe information protection, data lifecycle management, and data governance capabilities in Microsoft Purview
• Describe the insider risk capabilities in Microsoft Purview
• Describe the eDiscovery and Audit capabilities in Microsoft Purview

Course Outline:

Module 1: Describe security and compliance concepts

• Describe the shared responsibility and the defense-in-depth security models.
• Describe the Zero-Trust model.
• Describe the concepts of encryption and hashing.
• Describe some basic compliance concepts.

Module 2: Describe identity concepts

• Understand the difference between authentication and authorization.
• Describe the concept of identity as a security perimeter.
• Describe identity-related services.

Module 3: Describe the function and identity types of Microsoft Entra ID

• Describe the function of Microsoft Entra ID.
• Describe the types of identities Microsoft Entra ID supports.

Module 4: Describe the authentication capabilities of Microsoft Entra ID

• Describe the authentication methods of Microsoft Entra ID.
• Describe multifactor authentication (MFA) in Microsoft Entra ID.
• Describe self-service password reset (SSPR) in Microsoft Entra ID.
• Describe the password protection and management capabilities of Microsoft Entra ID.

Module 5: Describe the access management capabilities of Microsoft Entra ID

• Describe Conditional Access in Microsoft Entra ID.
• Describe Microsoft Entra roles and role-based access control.

Module 6: Describe the identity protection and governance capabilities of Microsoft Entra

• Describe the identity protection and governance capabilities of Microsoft Entra ID.
• Describe Privileged Identity Management.
• Describe Permissions Management.

Module 7: Describe core infrastructure security services in Azure

• Learn how Azure security capabilities can protect the network
• Learn how Azure can protect your VMs
• Learn how to keep secrets safe with Azure Key Vault

Module 8: Describe the security management capabilities in Azure

• Describe Microsoft Defender for Cloud.
• Describe how security policies and initiatives improve cloud security posture.
• Describe how the three pillars of Microsoft Defender for Cloud protect against cyber threats and vulnerabilities.

Module 9: Describe the capabilities in Microsoft Sentinel

• Describe the security concepts for SIEM and SOAR.
• Describe how Microsoft Sentinel provides threat detection and mitigation.
• Describe Microsoft Security Copilot.

Module 10: Describe threat protection with Microsoft 365 Defender

• Describe the Microsoft 365 Defender service.
• Describe how Microsoft 365 Defender provides integrated protection against sophisticated attacks.
• Describe and explore Microsoft 365 Defender portal.

Module 11: Describe Microsoft’s Service Trust portal and privacy capabilities

• Describe the offerings of the Service Trust Portal.
• Describe Microsoft’s Privacy principles.
• Describe Microsoft Priva.

Module 12: Describe the compliance management capabilities in Microsoft Purview

• Describe the Microsoft Purview compliance portal.
• Describe Compliance Manager.
• Describe the use and benefits of compliance score.
• Module 13: Describe information protection, data lifecycle management, and data governance capabilities in Microsoft Purview
• Describe data classification capabilities.
• Describe records management.
• Describe data loss prevention.
• Describe unified data governance.

Module 14: Describe the insider risk capabilities in Microsoft Purview

• Describe insider risk management
• Describe communication compliance

Module 15: Describe the eDiscovery and Audit capabilities in Microsoft Purview

• Describe the eDiscovery capabilities of Microsoft Purview.
• Describe the auditing capabilities of Microsoft Purview.