Full Stack Azure Cloud Computing Course For Beginners/ Azure For Beginners

Learn essential Azure services like Virtual Machines, Blob Storage, and SQL Database. Understand how businesses utilize these services for everyday operations.

• 1.1 Introduction to core Azure services:
  • ‍Understanding core Azure services like Virtual Machines, Blob Storage, and Azure SQL Database is essential for building cloud-based solutions. For instance, knowing when to use Azure Blob Storage for storing unstructured data like images and videos versus Azure SQL Database for structured data storage can optimize data management workflows.
• 1.2 Setting up Azure accounts and managing security:
  • Learning how to set up Azure accounts and implement security measures ensures the confidentiality, integrity, and availability of data. For example, configuring Azure Active Directory for identity and access management helps prevent unauthorized access to sensitive resources.
• 1.3 Hands-on experience with basic Azure functionalities:
  • Gaining hands-on experience with basic Azure functionalities through practical exercises helps reinforce learning and build confidence in using Azure services. For instance, creating a virtual machine in Azure and deploying a web application teaches essential skills for managing infrastructure and applications in the cloud.
    

Design and implement robust cloud infrastructure for high availability and security. Learn networking concepts in Azure and optimize network performance and security.

• 1.1 Designing cloud infrastructure with Azure Resource Manager:
  • ‍Designing cloud infrastructure with Azure Resource Manager involves creating resource groups, defining resource dependencies, and deploying resources as a group. For example, creating an Azure Resource Manager template for an e-commerce application streamlines the deployment process and ensures consistency across environments.
• 1.2 Networking concepts in Azure:
  • Understanding networking concepts in Azure, such as Virtual Networks, Subnets, and Network Security Groups, is crucial for building secure and scalable cloud environments. For example, configuring network security groups to control inbound and outbound traffic helps protect virtual machines from unauthorized access.
• 1.3 Optimizing network performance and security in Azure:
  • Optimizing network performance and security in Azure involves implementing best practices for network design, monitoring, and troubleshooting. For example, using Azure ExpressRoute for private connectivity to Azure services can improve network performance and reduce latency for critical workloads.

Discover the power of Python for analyzing data and SQL for managing databases. Get ready to start your own data analysis journey with Python's versatile tools and SQL's database querying capabilities.

• 1.1 Understanding Azure storage options:
  • ‍Understanding Azure storage options like Blob Storage, File Storage, and Disk Storage helps businesses choose the right storage solution for their data storage and retrieval needs. For example, using Azure Blob Storage for storing backups and archival data provides cost-effective long-term storage with high availability and durability.
• 1.2 Introduction to Azure database services:
  • Introduction to Azure database services like Azure SQL Database, Cosmos DB, and Azure Database for MySQL helps businesses build scalable and reliable database solutions. For example, using Azure SQL Database for a line-of-business application provides built-in high availability, automatic backups, and advanced security features.
• 1.3 Best practices for data storage and management in Azure:
  • Implementing best practices for data storage and management in Azure ensures data integrity, availability, and security. For example, using Azure Blob Storage Lifecycle Management to automatically tier data to cooler storage tiers based on access patterns reduces storage costs while ensuring data accessibility.
    

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Deploy and scale applications efficiently with Azure compute services. Understand serverless computing with Azure Functions and build serverless applications.

• 1.1 Exploring Azure compute services:
  • ‍Exploring Azure compute services like Virtual Machines, Azure App Service, and Azure Functions helps businesses choose the right compute solution for their workload requirements. For example, using Azure Functions for event-driven applications reduces infrastructure management overhead and scales automatically based on demand.
• 1.2 Serverless computing with Azure Functions:
  • Building serverless applications with Azure Functions involves writing code to respond to events without managing servers. For example, using Azure Functions to process messages from an Azure Queue Storage automatically scales to handle varying message loads without provisioning or managing infrastructure.
• 1.3 Building and deploying serverless applications in Azure:
  • Building and deploying serverless applications in Azure involves designing event-driven architectures, writing serverless functions, and deploying applications to Azure. For example, building a serverless web application with Azure Functions and Azure Cosmos DB provides a scalable and cost-effective solution for handling web traffic and data storage.
    

Ensure applications can scale and remain available during peak times. Explore techniques for achieving high availability with Azure services.

• 1.1 Scaling applications on Azure using auto-scaling and load balancing:
  • ‍Scaling applications on Azure using auto-scaling and load balancing helps businesses handle varying workload demands efficiently. For example, configuring Azure Auto Scaling to scale virtual machine instances based on CPU utilization ensures optimal performance during peak traffic periods.
• 1.2 Achieving high availability with Azure services:
  • Achieving high availability with Azure services like Azure Load Balancer, Azure Traffic Manager, and Azure Application Gateway ensures continuous service availability and reliability. For example, using Azure Traffic Manager to distribute incoming traffic across multiple Azure regions improves application availability and fault tolerance.
• 1.3 Disaster recovery and backup strategies in Azure:
  • Implementing disaster recovery and backup strategies in Azure involves creating backup copies of critical data and applications to ensure business continuity in the event of a disaster. For example, using Azure Site Recovery to replicate virtual machines to a secondary Azure region provides a cost-effective and automated solution for disaster recovery.
    

Implement robust security measures to protect sensitive data and ensure compliance with regulations. Learn encryption and data protection measures in Azure

• 1.1 Securing Azure resources with Azure Active Directory, Role-Based Access Control (RBAC):
  • ‍Securing Azure resources with Azure Active Directory and Role-Based Access Control helps prevent unauthorized access and protect sensitive data. For example, implementing multi-factor authentication for Azure AD users adds an extra layer of security to Azure resources.
• 1.2 Compliance and governance in Azure:
  • Ensuring compliance and governance in Azure involves implementing policies, procedures, and controls to meet regulatory requirements. For example, using Azure Policy to enforce resource tagging standards ensures consistent resource management and cost allocation across Azure subscriptions.
• 1.3 Implementing encryption and data protection measures in Azure:
  • Implementing encryption and data protection measures in Azure helps protect data at rest and in transit from unauthorized access. For example, using Azure Key Vault to manage encryption keys and secrets ensures secure storage and management of sensitive information.

Maintain performance and optimize costs through monitoring and optimization techniques. Learn to manage and optimize spending in Azure environments

• 1.1 Monitoring Azure resources with Azure Monitor and Log Analytics:
  • ‍Monitoring Azure resources with Azure Monitor and Log Analytics helps businesses gain insights into resource usage, performance, and availability. For example, using Azure Monitor to set up alerts based on predefined thresholds ensures proactive monitoring and timely response to critical issues.
• 1.2 Performance optimization techniques in Azure:
  • Performance optimization techniques in Azure involve optimizing resource utilization, reducing latency, and improving application responsiveness. For example, using Azure Cache for Redis to cache frequently accessed data reduces database load and improves application performance.
• 1.3 Cost management and billing in Azure:
  • Managing costs and optimizing spending in Azure involves tracking resource usage, analyzing cost trends, and implementing cost-saving measures. For example, using Azure Cost Management + Billing to monitor and control Azure spending helps businesses stay within budget and avoid unexpected expenses.