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This course will equip you with the essential skills to integrate marketing and PR strategies, craft compelling messages, and utilize AI tools for optimal campaign execution. In this course, you will: - Define the core principles of marketing communication and its relationship with public relations, identifying both the synergies and key differences between the two disciplines in achieving communication goals. - Identify the various components that make up an integrated PR campaign, developing strategies for effectively integrating multiple communication channels and touchpoints to deliver a cohesive message across the campaign. - Describe the power of storytelling in crafting compelling PR messages that resonate with target audiences, constructing engaging narratives tailored to various PR scenarios. - Use AI tools to enhance the effectiveness of communication and storytelling strategies, comparing traditional approaches with AI-assisted methods for communication and storytelling. - Develop a comprehensive blueprint for an effective campaign that applies your understanding of integrated PR campaigns and storytelling, integrating the streamlining of key PR processes using AI tools to optimize campaign execution. By the end of this course, you will have a deep understanding of how to combine marketing and PR principles, create engaging and impactful stories, and leverage AI tools to enhance your strategies.

Whether you are just starting out with the cloud or are an experienced cloud user and new to Microsoft Azure, this course will provide you with everything you need to get started. It will introduce you to the core concepts and services of Microsoft Azure. You will learn about the fundamentals of cloud computing, its benefits, and how to choose the right Microsoft Azure solution for different business scenarios. You will use the Microsoft Azure portal and sandbox to create and test Microsoft Azure resources at no cost. You do not need to write code or have any scripting skills to do this. You will learn about some of the database and big data services available in Microsoft Azure. You will also learn how to take advantage of several virtualization services in Microsoft Azure compute, which can help your applications scale quickly and efficiently to meet growing demands. Finally, you will learn about the various storage and virtual networking options available in Microsoft Azure. This course can help you prepare for exam AZ-900: Microsoft Azure Fundamentals. This is the first course in a four-course program that prepares you to take the AZ-900 certification exam. This course teaches you the core concepts and skills that are measured in the Cloud Computing Concepts and Microsoft Azure Core Services exam domains. This beginner course is suitable for IT personnel who are new to Microsoft Azure and want to learn about Microsoft Azure offerings and gain hands-on experience with the product. To successfully complete this course, you should have basic computer literacy and English language skills. You should be familiar with basic computing concepts and terminology, common technology concepts including networking, storage, computing, application support, and application development. You should also be familiar with the concept of application programming interfaces, or APIs. It is helpful to have a high-level familiarity with relevant Microsoft products such as Dynamics 365 and Office 365.

Microsoft Azure offers a wide range of services for deploying your applications. To maintain control over your environment and simplify deployment, it also offers a wide range of management tools and services. In this course, you will be introduced to these tools and services and will be asked to help you choose the best one for a specific business scenario. Some modules cover software development processes and services. You will learn about cloud monitoring solutions for your applications and infrastructure. And how to choose the right Microsoft Azure management tool based on your technical needs. By the end of this course, you will be able to choose the right serverless computing technology, Azure IoT service or Azure Artificial Intelligence service. A good security strategy is essential in today's digital world. Every application and service, whether on-premises or in the cloud, must be designed with security in mind. Security must be provided at the application level, at the data level and at the network level. You will learn about the various Microsoft Azure services that you can use to ensure reliability, security and trust in your cloud resources. By the end of this course, you will be able to identify security threats in Microsoft Azure, make security recommendations, and detect and respond to events using security and event management. From a developer perspective, you will consider how to protect your secrets and ensure that they are not exposed. You will also learn network security scenarios such as firewall, network security groups, and distributed denial of service protection. You will learn how to build a comprehensive network security solution that combines all of these tools to protect your Microsoft Azure deployments and resources. After completing this course, you will be able to select the best Microsoft Azure tools and services for a specific business scenario. You will also be able to describe how to secure the workloads you run both in the cloud and in an on-premises datacenter. This entry-level course is suitable for IT personnel who are new to Microsoft Azure and want to learn about Microsoft Azure offerings and gain hands-on experience with the product. This course can help you prepare for exam AZ-900: Microsoft Azure Fundamentals. This is the second course in a four-course program that prepares you to pass the AZ-900 certification exam. This course teaches you the core concepts and skills that are measured in the Microsoft Azure Management Tools and Security Solutions exam domains. To successfully complete this course, you should have basic computer literacy and English language skills. You should be familiar with basic computing concepts and terminology, general technology concepts including networking, storage, computing, application support, and application development. You should also be familiar with the concept of application programming interfaces, or APIs. A high-level familiarity with relevant Microsoft products, such as Dynamics 365 and Office 365, is helpful.

In this course, you will learn how Microsoft Azure can help you secure access to your cloud resources, what it means to build a cloud governance strategy, and how Microsoft Azure adheres to common regulatory and compliance standards. With the rise of remote work, bring your own device (BYOD), mobile apps, and cloud-native applications, the primary security boundaries have shifted from firewalls and physical access controls to identity controls. Understanding who is using your systems and what they are authorized to do is critical to keeping your data safe from attackers. To stay organized, manage costs, and comply, you need a good cloud governance strategy. Moving to the cloud opens up new opportunities to analyze your IT spend. The cloud also relieves you of the burden of maintaining your IT infrastructure. When moving to the cloud, you may be asking: - How much will it cost? - What guarantees does Microsoft Azure provide for uptime and connectivity? - How will pre-release services impact my production applications? In this course, you will also learn about the factors that affect cost, tools you can use to estimate and manage cloud costs, and how Microsoft Azure service level agreements (SLAs) can impact your application development decisions. This course will help you prepare for exam AZ-900: Microsoft Azure Fundamentals. This is the third course in a four-course program that prepares you to pass the AZ-900 certification exam. This course will teach you the core concepts and skills that are measured in the Microsoft Azure identity services, and governance exam domains. This entry-level course is suitable for IT personnel who are new to Microsoft Azure and want to learn about Microsoft Azure offerings and gain hands-on experience with the product. To successfully complete this course, you should have basic computer literacy and English language skills. You should be familiar with basic computing concepts and terminology, common technology concepts including networking, storage, computing, application support, and application development. You should also be familiar with the concept of application programming interfaces, or APIs. A high-level familiarity with relevant Microsoft products, such as Dynamics 365 and Office 365, is helpful.

Microsoft Certifications give you a professional edge by providing globally recognized and industry-approved evidence of digital and cloud business skills. In this course, you will prepare for the AZ-900 Microsoft Azure Fundamentals exam. You will refresh your knowledge of cloud computing concepts, Microsoft Azure services, Microsoft Azure workloads, security and privacy in Microsoft Azure, and Microsoft Azure pricing and support. In short, you will review all the key concepts and skills that are assessed on the exam. You will test your knowledge with a series of practice exams covering all the major topics of the AZ-900 exam, ensuring that you are well prepared to succeed in the certification. You will prepare to take the certification exam by taking practice tests of similar format and content. You will also gain a more detailed understanding of the Microsoft Certification program and where you can go next in your career. In addition, you will receive tips and tricks, testing strategies, helpful resources, and information on how to register for the proctored AZ-900 exam. By the end of this course, you will be ready to register for and pass the AZ-900 exam. This beginner course is suitable for IT personnel who are new to working with Microsoft Azure and want to demonstrate a basic-level understanding of cloud services and how these services are delivered using Microsoft Azure platforms. This course will help you prepare for exam AZ-900: Microsoft Azure Fundamentals. This is the final course in a four-course program that prepares you to take the AZ-900 certification exam. This course gives you the opportunity to hone your exam-taking technique and refresh your knowledge of all the key areas assessed on the certification exam. To successfully complete this course, you must have basic computer literacy and English language skills. You should be familiar with basic computing concepts and terminology, common technology concepts including networking, storage, computing, application support, and application development. You should also be familiar with the concept of application programming interfaces, or APIs. A high-level familiarity with relevant Microsoft products, such as Dynamics 365 and Office 365, is helpful.

In this course, you will learn the fundamentals of database concepts in the cloud, gain foundational skills in cloud data services, and build your foundational knowledge of cloud data services in Microsoft Azure. You will define and describe key data concepts such as relational, non-relational, big data, and analytics, and explore how these technologies are implemented in Microsoft Azure. You will explore roles, tasks, and responsibilities in the world of data. This is the first course in a five-course program that will help you prepare for the DP-900: Microsoft Azure Data Fundamentals exam so that you can demonstrate that you have a foundational understanding of fundamental database concepts in the cloud. This course is ideal for IT professionals who want to learn the fundamentals of database concepts in the cloud, gain foundational skills in cloud data services, and build their foundational knowledge of cloud data services in Microsoft Azure to pursue roles as data engineers and database administrators. This course is also suitable for working database professionals who need additional skills or credentials to demonstrate cloud experience, and for IT professionals who want to specialize in a specific area of ​​Azure data. To successfully complete this course, you should have basic computer literacy and English language skills. Successful Azure Data Fundamentals students start with a basic understanding of computing and Internet concepts, and an interest in extracting insights from data. Experience using a web browser and familiarity with basic data concepts, such as working with tables of data in spreadsheets and visualizing data using charts, are an advantage.

In this course, you will learn the basic concepts of databases in the cloud, gain foundational skills in working with cloud data services, and build your foundational knowledge of cloud data services in Microsoft Azure. You will learn about relational data offerings, provisioning and deploying relational databases, and querying relational data using cloud data solutions in Microsoft Azure. You will learn what SQL is, how it is used to query and maintain data in a database, and the different dialects available. This is the second course in a five-course program designed to help you prepare for exam DP-900: Microsoft Azure Data Fundamentals. so that you can demonstrate that you have a basic understanding of key database concepts in the cloud. This course is ideal for IT professionals who want to learn the fundamentals of database concepts in a cloud environment, gain foundational skills in working with cloud data services, and strengthen their foundational knowledge of cloud data services in Microsoft Azure to qualify for roles as data engineers and database administrators. This course is also suitable for working database professionals who need additional skills or credentials to demonstrate cloud experience, and for IT professionals who want to specialize in a specific area of ​​Azure data. To successfully complete this course, you should have basic computer literacy and English language skills. Successful students in the Azure Data Fundamentals course begin with a basic understanding of computing and Internet concepts, and an interest in extracting insights from data. Experience using a web browser and familiarity with basic data concepts, such as working with tables of data in spreadsheets and visualizing data using charts, would be an advantage.

In Microsoft Azure, the Computer Vision cognitive service uses pre-trained models to analyze images, allowing software developers to easily build applications that “see” and understand the world. This ability to process images is key to creating software that can mimic human visual perception. In this course, you’ll explore some of these capabilities and learn how to use the Computer Vision service to analyze images. This course helps you prepare for the AI-900: Microsoft Azure AI Fundamentals exam. This is the third course in a five-course program that prepares you to pass the AI-900 certification exam. This course teaches you the core concepts and skills that are measured in the AI ​​fundamentals exam areas. This beginner course is suitable for IT personnel who are new to Microsoft Azure and want to learn about Microsoft Azure offerings and gain hands-on experience with the product. The Microsoft Azure AI Fundamentals course can be used to prepare for other role-based Azure certifications, such as Microsoft Azure Data Scientist Associate or Microsoft Azure AI Engineer Associate, but is not a prerequisite for either. This course is designed for candidates with both technical and non-technical backgrounds. No prior experience in data science or software engineering is required; however, some general programming knowledge or experience would be helpful. To successfully complete this course, you should have basic computer literacy and English language skills. You should be familiar with basic computing concepts and terminology, general technology concepts, including machine learning and artificial intelligence concepts.

Natural language processing powers applications that can see, hear, speak to, and understand users. With text analytics, translation, and language understanding services, Microsoft Azure makes it easy to build natural language-aware applications. In this course, you'll learn how to use the Text Analytics service to perform advanced natural language processing on raw text for sentiment analysis, key phrase extraction, named entity recognition, and language detection. You'll learn how to recognize and synthesize speech using Azure Cognitive Services. You'll gain insight into how the automatic translation capabilities of AI solutions enable deeper collaboration by breaking down language barriers. You'll be introduced to the Language Understanding service and learn how to build applications that understand language. This course will help you prepare for the AI-900: Microsoft Azure AI Fundamentals exam. This course is the fourth in a five-course program that prepares you to pass the AI-900 certification exam. This course will teach you the core concepts and skills that are measured in the AI ​​fundamentals exam areas. This beginner course is suitable for IT personnel who are new to Microsoft Azure and want to learn about Microsoft Azure offerings and gain hands-on experience with the product. The Microsoft Azure AI Fundamentals course can be used to prepare for other Azure role-based certifications, such as Microsoft Azure Data Scientist Associate or Microsoft Azure AI Engineer Associate, but is not a prerequisite for either. This course is designed for candidates with both technical and non-technical backgrounds. No prior experience in data science or software engineering is required; however, some general programming knowledge or experience would be helpful. To successfully complete this course, you should have basic computer literacy and English language skills. You should be familiar with basic computing concepts and terminology, general technology concepts, including machine learning and artificial intelligence concepts.

In this course, you will learn the fundamentals of database concepts in the cloud, gain foundational skills in working with cloud data services, and build your foundational knowledge of cloud data services in Microsoft Azure. You will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores in Microsoft Azure. This is the third course in a five-course program designed to help you prepare for exam DP-900: Microsoft Azure Data Fundamentals so you can demonstrate that you have a foundational understanding of fundamental database concepts in the cloud. This course is ideal for IT professionals who want to learn the fundamentals of database concepts in the cloud, gain foundational skills in working with cloud data services, and build their foundational knowledge of cloud data services in Microsoft Azure to pursue roles as data engineers and database administrators. This course is also suitable for working database professionals who need additional skills or credentials to demonstrate cloud experience, and for IT professionals who want to specialize in a specific area of ​​Azure data. To successfully complete this course, you should have basic computer literacy and English language skills. Successful Azure Data Fundamentals students start with a basic understanding of computing and Internet concepts, and an interest in extracting insights from data. Experience using a web browser and familiarity with basic data concepts, such as working with tables of data in spreadsheets and visualizing data using charts, are an advantage.

In this course, you will learn the fundamentals of database concepts in the cloud, gain foundational skills in working with cloud data services, and build your foundational knowledge of cloud data services in Microsoft Azure. You will explore the processing options available for building data analytics solutions in Azure. You will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. This is the fourth course in a five-course program designed to help you prepare for exam DP-900: Microsoft Azure Data Fundamentals so that you can demonstrate that you have a foundational understanding of fundamental database concepts in the cloud. This course is ideal for IT professionals who want to learn the fundamentals of database concepts in the cloud, gain foundational skills in working with cloud data services, and build their foundational knowledge of cloud data services in Microsoft Azure to pursue roles as data engineers and database administrators. This course is also suitable for working database professionals who need additional skills or credentials to demonstrate cloud experience, and for IT professionals who want to specialize in a specific area of ​​Azure data. To successfully complete this course, you should have basic computer literacy and English language skills. Successful Azure Data Fundamentals students start with a basic understanding of computing and Internet concepts, and an interest in extracting insights from data. Experience using a web browser and familiarity with basic data concepts, such as working with tables of data in spreadsheets and visualizing data using charts, are an advantage.

Microsoft Certifications give you a professional edge by providing globally recognized and industry-approved evidence of mastery of digital and cloud business skills. In this course, you will prepare to pass the DP-900 Microsoft Azure Data Fundamentals certification exam. You will refresh your memory on the basic concepts of databases in the cloud, basic skills in working with cloud data services, and a fundamental understanding of cloud data services in Microsoft Azure. You will review non-relational data offerings, provisioning and deploying non-relational databases and non-relational data stores in Microsoft Azure. You will test your knowledge with a series of practice exams that map to all the major topics of the DP-900 exam, ensuring that you are well prepared to succeed in the certification. You will prepare to take the certification exam by taking practice tests of similar format and content. You will also gain a more detailed understanding of the Microsoft certification program and where you can go next in your career. In addition, you will receive tips and tricks, testing strategies, helpful resources, and information on how to register for the DP-900 proctored exam. By the end of this course, you will be ready to register for and pass the DP-900 exam. This course is designed for candidates with both technical and non-technical backgrounds. No prior experience in data science or software engineering is required; however, some general programming knowledge or experience would be helpful. To successfully complete this course, you should have basic computer literacy and English language skills. You should be familiar with basic computing concepts and terminology, general technology concepts including machine learning and artificial intelligence.