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AZ-104: Microsoft Azure Administrator
The AZ-104 course, Microsoft Azure Administrator, is designed for professionals who manage cloud services that span storage, security, networking, and compute capabilities within Microsoft Azure. This certification validates skills in implementing, managing, and monitoring an organization’s Azure environment. It covers configuring and managing virtual networks, network traffic, Azure identities and governance, and securing Azure resources. The course also includes managing Azure compute resources, such as virtual machines, Azure Kubernetes Service (AKS), and App Services, along with implementing and managing storage solutions. Students will learn to monitor and back up Azure resources and configure Azure for disaster recovery. By the end of the course, participants will be adept at managing Azure subscriptions, analyzing resource utilization and consumption, and managing role-based access control. This certification is essential for IT professionals looking to enhance their cloud administration skills and contribute effectively to their organizations’ Azure deployments.
AZ-204: Developing Solutions for Microsoft Azure
AZ-204, Developing Solutions for Microsoft Azure, is targeted at developers who design and build cloud solutions. The course covers developing Azure compute solutions, including Azure Functions, App Services, and AKS. It dives into Azure storage solutions, such as Cosmos DB and Blob Storage, and the implementation of Azure security features, including managed identities and secure data solutions. Students will also learn to integrate Azure services and third-party services, including API Management and Event Grid, and develop for the cloud using Azure SDKs, Azure CLI, and PowerShell. The course emphasizes monitoring, troubleshooting, and optimizing Azure solutions for performance and scalability. By the end of the course, participants will be proficient in building, testing, and maintaining applications hosted in Azure. This certification is ideal for developers looking to validate their ability to design and build effective cloud solutions using Azure services.
AZ-900: Microsoft Azure Fundamentals
AZ-900, Microsoft Azure Fundamentals, provides a foundational understanding of cloud concepts and Azure services, making it suitable for individuals new to cloud computing. The course covers general cloud computing principles, such as high availability, scalability, and disaster recovery, and introduces core Azure services like compute, networking, and storage. It also addresses Azure pricing models, including free and subscription-based services, and Azure Service Level Agreements (SLAs). Participants will learn about Azure identity, governance, privacy, and compliance features. The course is structured to give a broad overview of how Azure works, without requiring deep technical knowledge, making it perfect for non-technical roles, sales professionals, or those considering a career in cloud computing. By the end of the course, learners will have a solid grasp of cloud concepts and the basics of how Azure services support business solutions.
AZ-305: Designing Microsoft Azure Infrastructure Solutions
AZ-305, Designing Microsoft Azure Infrastructure Solutions, is designed for solutions architects who translate business requirements into secure, scalable, and reliable solutions. This course covers designing infrastructure and security solutions, data storage, and business continuity. Participants will learn to design for identity and security, deploy infrastructure solutions, implement workload requirements, and create continuity strategies. The course emphasizes building a robust infrastructure on Azure, integrating on-premises and cloud resources, and ensuring compliance with organizational and legal requirements. Learners will also gain skills in leveraging Azure services to optimize performance and cost, and design solutions that meet user demands. By the end of the course, participants will be equipped to design comprehensive Azure solutions that align with business goals, making this certification crucial for those looking to advance their careers as Azure architects.
DP-900: Microsoft Azure Data Fundamentals
DP-900, Microsoft Azure Data Fundamentals, introduces core data concepts and how they are implemented using Azure data services. This course is ideal for beginners in data roles, covering relational and non-relational data, big data, and analytics. Participants will explore various Azure data services such as Azure SQL Database, Azure Cosmos DB, and Azure Data Lake. The course also addresses data storage, data processing, and data security fundamentals. Learners will gain an understanding of how to work with Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. By the end of the course, participants will have a foundational knowledge of database concepts, data analytics, and data management in Azure. This certification serves as a stepping stone for those pursuing more advanced data certifications or roles in data management and analytics.
DP-203: Data Engineering on Microsoft Azure
DP-203, Data Engineering on Microsoft Azure, is designed for data engineers who build and maintain secure and compliant data processing pipelines. This course covers designing and implementing data storage solutions, data processing, and security for data solutions using Azure. Participants will learn to integrate, transform, and consolidate data from various structured and unstructured data systems into structures suitable for building analytics solutions. The course includes hands-on experience with Azure Synapse Analytics, Azure Data Factory, and Azure Databricks. It also covers monitoring and optimizing data solutions to ensure efficient performance. By the end of the course, participants will be able to design and implement data solutions that support high availability, disaster recovery, and data security requirements. This certification is essential for data engineers looking to validate their skills in building robust data solutions on Azure.
DP-100: Designing and Implementing a Data Science Solution on Azure
DP-100, Designing and Implementing a Data Science Solution on Azure, targets data scientists who create and manage machine learning solutions. The course covers using Azure Machine Learning to train, evaluate, and deploy models that solve business problems. Participants will learn to manage Azure resources for machine learning, implement responsible AI principles, and run experiments to optimize models. The course also addresses deploying models as web services and managing their lifecycle. Hands-on labs with Azure Machine Learning, Azure Databricks, and other Azure services are integral to the learning experience. By the end of the course, participants will be adept at designing, implementing, and maintaining data science solutions in Azure, making this certification crucial for data scientists aiming to leverage Azure for their machine learning projects.
AI-900: Microsoft Azure AI Fundamentals
AI-900, Microsoft Azure AI Fundamentals, provides an introduction to artificial intelligence and machine learning concepts and how they are implemented using Azure services. This course is suitable for individuals with both technical and non-technical backgrounds who want to understand AI and its capabilities in Azure. It covers the basics of AI, including machine learning, anomaly detection, computer vision, natural language processing, and conversational AI. Participants will explore Azure AI services like Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service. By the end of the course, learners will have a foundational understanding of AI concepts and how to use Azure AI services to build AI solutions. This certification is ideal for those looking to enter the field of AI or enhance their knowledge of AI technologies in Azure.
AI-102: Designing and Implementing an Azure AI Solution
AI-102, Designing and Implementing an Azure AI Solution, is aimed at AI engineers who build and integrate AI solutions. This course covers designing and implementing AI solutions using Azure Cognitive Services, Azure Bot Service, and Azure Machine Learning. Participants will learn to develop AI solutions that incorporate natural language processing, computer vision, and knowledge mining. The course also addresses integrating AI models into existing systems, deploying and maintaining AI solutions, and ensuring compliance and security. Hands-on labs provide practical experience in building and deploying AI models and services. By the end of the course, participants will be capable of designing, implementing, and monitoring AI solutions that meet business requirements, making this certification essential for AI engineers looking to validate their skills in creating advanced AI solutions on Azure.DP-100, Designing and Implementing a Data Science Solution on Azure, targets data scientists who create and manage machine learning solutions. The course covers using Azure Machine Learning to train, evaluate, and deploy models that solve business problems. Participants will learn to manage Azure resources for machine learning, implement responsible AI principles, and run experiments to optimize models. The course also addresses deploying models as web services and managing their lifecycle. Hands-on labs with Azure Machine Learning, Azure Databricks, and other Azure services are integral to the learning experience. By the end of the course, participants will be adept at designing, implementing, and maintaining data science solutions in Azure, making this certification crucial for data scientists aiming to leverage Azure for their machine learning projects.
AI-400: Designing and Implementing Microsoft DevOps Solutions
The AZ-400 certification, Designing and Implementing Microsoft DevOps Solutions, is designed for professionals who bridge development and operations to enhance continuous delivery using Azure technologies. This course provides in-depth training on implementing DevOps practices, managing version control with Git and GitHub, and setting up CI/CD pipelines with Azure Pipelines. It includes managing infrastructure as code (IaC) with tools like Terraform and ARM templates, and configuring continuous delivery processes. Participants will also learn to deploy applications using Azure Kubernetes Service (AKS), manage secrets and configurations with Azure Key Vault, and implement monitoring and feedback mechanisms with Azure Monitor and Log Analytics. Security is a key focus, covering compliance management through Azure Security Center. The course emphasizes automating testing, deployment, and infrastructure provisioning, as well as integrating third-party tools into the DevOps workflow. By the end of the course, learners will be skilled in automating and streamlining software delivery processes, ensuring high standards of quality, security, and compliance. This certification is crucial for DevOps professionals, software developers, and IT operations experts seeking to validate and advance their expertise in Azure DevOps solutions. It equips participants with the necessary skills to drive efficiency and innovation in their organizations' DevOps practices, making it an essential credential for career advancement in the field.
