|
via Udemy |
Go to Course: https://www.udemy.com/course/microsoft-azure-mastery-basics-to-advanced-applications/
The Microsoft Azure Mastery Course on Coursera is an excellent choice for anyone looking to deepen their understanding of cloud computing, data science, and AI using Microsoft Azure. This comprehensive course is thoughtfully structured, covering a wide array of topics from fundamental principles to advanced applications, making it suitable for beginners and experienced professionals alike. **Course Overview and Content Quality:** This course provides a well-rounded educational experience by combining theoretical foundations with practical exercises. It dives into core Azure services such as data lakes, relational databases, cognitive services, AI, and machine learning, alongside cloud computing basics. Each section is detailed and focused, such as the DP-100 and DP-900 modules that prepare you for relevant Microsoft certification exams, and others like the AI-900 fundamentals for understanding AI workloads using Azure. **Strengths:** - **Practical Hands-On Experience:** The course emphasizes real-world applications, including creating Azure ML workspaces, building chatbots, and managing data lakes with PowerShell and CLI. This practical approach helps learners translate theory into actionable skills. - **Certification Preparation:** The focused sections on DP-100, DP-900, DP-300, and AZ-900 exams are valuable for learners aiming for certifications, boosting their confidence and readiness. - **Diverse Topics:** Covering AI, data fundamentals, databases, cloud basics, and cognitive services, the course provides a broad foundation that aligns with current industry demands. **Who Would Benefit:** - Aspiring data scientists, AI enthusiasts, and developers seeking mastery over Azure's data science and AI tools. - IT professionals aiming to enhance their cloud management skills or prepare for Microsoft certification exams. - Beginners wanting a gentle yet thorough introduction to cloud computing principles and services. **Recommendation:** I highly recommend the Microsoft Azure Mastery Course on Coursera for its comprehensive content, practical assignments, and certification-aligned modules. Whether you're starting your cloud journey or looking to expand your Azure skillset, this course provides the knowledge and hands-on experience necessary to excel in the fast-growing field of cloud computing and data science. It is an investment that can significantly boost your career prospects and technical expertise in Azure's expansive ecosystem. **Final Verdict:** Enroll in this course if you're motivated to learn from a detailed, structured program that combines theory with real-world applications. This course will prepare you not only for certification exams but also equip you with the skills needed to innovate and solve complex business challenges using Microsoft Azure.
Welcome to the Microsoft Azure Mastery Course, a comprehensive learning journey designed to equip you with the knowledge and skills needed to excel in the rapidly evolving field of cloud computing and data science. This course covers a wide array of topics, from foundational principles to advanced applications, ensuring a well-rounded understanding of Microsoft Azure's extensive capabilities.Microsoft Azure is one of the leading cloud platforms, offering a vast range of services that support various business needs, including data storage, machine learning, AI, and database management. With the increasing demand for cloud-based solutions, proficiency in Azure has become a valuable asset for IT professionals, data scientists, and developers.Our course is structured into distinct sections, each focusing on a specific aspect of Azure. You will start with an introduction to Azure's data science capabilities and progress through foundational AI concepts, data fundamentals, and relational database management. Practical sections on cognitive services and AI-based chatbot creation will enhance your hands-on experience, while sections on Azure essentials and data lake management will solidify your foundational knowledge.Whether you are preparing for Microsoft certification exams or seeking to expand your practical skills, this course offers a blend of theoretical knowledge and practical application. You will engage with interactive lessons, real-world scenarios, and step-by-step guides, ensuring a robust learning experience.By the end of this course, you will be well-prepared to leverage Microsoft Azure's powerful tools and services, ready to tackle complex challenges and drive innovation in your organization. Welcome to your journey towards Azure mastery!Section 1: DP-100 Microsoft Azure Data Science ExamIn this section, you will gain comprehensive knowledge and hands-on experience with Microsoft Azure's data science capabilities. Starting with an introduction to the course and exam requirements, you will learn how to create and manage an Azure Machine Learning workspace, including its settings through the portal and Azure ML Studio. The section covers the creation and management of datasets, compute instances, and clusters, and takes you through building and submitting machine learning pipelines. You'll delve into custom code, error handling, and understanding complex pipelines, ensuring a thorough grasp of Azure ML Designer and SDK setup. The section also introduces AutoML, model registration, deployment strategies, and production compute targets, preparing you for real-world applications of Azure's machine learning tools.Section 2: AI-900 MS Azure AI FundamentalsThis section is designed to provide a foundational understanding of artificial intelligence (AI) and its applications within Microsoft Azure. Beginning with an introduction to AI and the AI-900 exam requirements, you will explore common AI workloads, responsible AI principles, and privacy and security considerations. The section covers various machine learning types, dataset features, and the training and validation process. You'll gain practical experience with AutoML, machine learning designer tools, and common computer vision and natural language processing (NLP) workloads, using Azure's services to build and deploy models without extensive coding. This section is perfect for those new to AI and seeking to understand its fundamentals and applications.Section 3: DP-900 Azure Data FundamentalsSection 3 focuses on the basics of data representation, storage options, and data workloads within Azure. You'll start with an introduction to the DP-900 exam requirements, followed by an exploration of relational and non-relational databases, including normalization, SQL, and NoSQL databases. Practical demos will guide you through creating databases, views, stored procedures, and indexes, as well as deploying and managing Azure SQL and Cosmos DB. This section also covers modern data warehousing, Azure Data Factory, and data visualization tools like Power BI, providing a comprehensive overview of Azure's data services and their practical applications.Section 4: DP-300 Azure Relational DBAThis section prepares you for managing relational databases in Azure. After an introduction and overview of the DP-300 exam requirements, you'll learn about Azure's SQL database options, creating and managing Azure VMs, and deploying SQL servers. Topics include functional and scaling requirements, availability and backup strategies, and security measures for SQL databases. You will explore scaling techniques, SQL database replicas, sharding, and data synchronization. The section also covers migration and upgrade strategies, ensuring you are well-equipped to handle Azure SQL database management and optimization.Section 5: Microsoft Azure - BasicsIn Section 5, you will explore the fundamentals of Microsoft Azure and cloud computing. Starting with an overview of cloud computing principles and the history of Azure, you'll learn about key cloud services, deployment models, and the architecture of Microsoft Azure. The section covers account registration, the Azure portal, and various tools for managing Azure services, including PowerShell and CLI. You will gain practical knowledge of Azure virtual machines, storage options, and networking configurations, preparing you to leverage Azure's capabilities for various cloud-based applications and services.Section 6: Azure Practical - Cognitive ServicesSection 6 provides an in-depth look at Azure's cognitive services, focusing on practical applications. You'll begin with an introduction to Azure Cognitive Services and the creation of a free tier account. The section covers vision APIs, computer vision, face API, custom vision, form recognizer, and video indexer, with hands-on exercises for each service. You'll also explore speech APIs, including speech-to-text, text-to-speech, and translation services. Additionally, the section covers language services, sentiment analysis, entity recognition, and the QnA Maker, providing a comprehensive understanding of how to implement cognitive services in real-world scenarios.Section 7: Azure Cognitive Services - Creating an AI-Based ChatbotIn this section, you will learn how to create an AI-based chatbot using Azure Cognitive Services. Starting with an introduction to the course, you'll explore the QnA service, Java application creation, and resolving issues within the application. The section provides practical steps for running and deploying the chatbot application, ensuring you have the skills to develop and manage AI-based chatbots effectively.Section 8: Microsoft Azure - EssentialsSection 8 covers the essential principles and services of Microsoft Azure. Beginning with an introduction to Azure essentials, you will learn about the five principles of cloud computing, the history of cloud computing, and key types of cloud services. The section also covers cloud deployment models, Azure's architecture, and account registration. Practical demos will guide you through the Azure Resource Manager (ARM) and Azure Service Manager (ASM) portals, subscription management, and the installation and usage of Azure PowerShell and CLI. This section provides a solid foundation for understanding and utilizing Microsoft Azure's core services.Section 9: Microsoft Azure - Data LakeThe final section focuses on Azure Data Lake, offering an introduction and overview of its components and services. You will learn how to create analytics accounts, process data within the Data Lake Store, and use the USQL language for data manipulation. The section covers defining analytics units, job stages, data ingestion, and processing multiple files. You'll also explore Azure Data Lake's integration with Visual Studio, monitoring and analyzing jobs, and using PowerShell and CLI for data management. The section concludes with a summary of Azure Data Lake's pricing and capabilities, equipping you with the knowledge to leverage this powerful data storage and processing solution.ConclusionBy the end of this comprehensive course, you will have a deep understanding of Microsoft Azure's data science, AI, data fundamentals, relational database management, cognitive services, and cloud computing basics. Each section provides practical knowledge and hands-on experience, preparing you for various Azure certification exams and real-world applications of Azure's services. Whether you are a beginner or an experienced professional, this course will enhance your skills and help you leverage Azure's capabilities to their fullest potential.