DevOps – Azure – GuruSchools

DevOps – Azure

Course Overview

Course Curriculum

Week 1: DevOps Principles, Benefits, and Challenges

Introduction to DevOps: Concepts and Practices: Provide an overview of DevOps principles, methodologies, and practices, emphasizing the collaboration between development and operations teams to automate and streamline software delivery processes.
Understanding the DevOps Culture and Collaboration: Explore the cultural aspects of DevOps, including the importance of communication, collaboration, and shared responsibility across teams to foster a culture of trust, transparency, and continuous improvement.
Benefits of DevOps Transformation: Faster Releases, Improved Collaboration, etc.: Discuss the benefits of adopting DevOps practices, such as accelerated release cycles, increased deployment frequency, improved collaboration between teams, enhanced product quality, and faster time-to-market.
Challenges in Adopting DevOps: Resistance, Cultural Shift, etc.: Identify common challenges organizations may face when transitioning to DevOps practices, including resistance to change, organizational silos, cultural barriers, skill gaps, and legacy infrastructure.
These objectives provide a comprehensive overview of DevOps concepts, culture, benefits, and challenges, setting the foundation for further exploration and discussion in the course.

Week 2: Cloud Computing and Azure Services

Introduction to Cloud Computing and its Importance in DevOps: Provide an overview of cloud computing concepts and its significance in DevOps practices, including scalability, flexibility, and cost-efficiency.
Microsoft Azure Overview: Introduce Microsoft Azure as a leading cloud computing platform, covering its key features, services, and benefits for DevOps teams, such as Azure DevOps services, Azure App Service, and Azure Kubernetes Service (AKS).
Working with Azure Virtual Machines: Explore Azure Virtual Machines (VMs) as Infrastructure as a Service (IaaS) offerings, including provisioning, configuring, and managing VMs in the Azure portal or through Azure CLI.
Lab: Deploying an Application, Understanding IP Addresses and Subnets: Engage in a hands-on lab to deploy a sample application on Azure Virtual Machines, while gaining an understanding of IP addressing and subnetting concepts in Azure networking.
These objectives provide a comprehensive introduction to cloud computing, Microsoft Azure, Azure Virtual Machines, and practical experience deploying applications in an Azure environment.

Week 3: Networking, Load Balancing, and Firewalls in Azure

Networking Fundamentals in the Context of DevOps: Cover basic networking concepts relevant to DevOps, including IP addressing, subnetting, DNS, routing, and network protocols.
Load Balancing Concepts and Strategies: Explore load balancing principles and strategies for distributing traffic across multiple servers or instances to improve performance, availability, and scalability.
Implementing Load Balancing in Azure: Discuss Azure Load Balancer as a service for load balancing incoming internet traffic to virtual machines, Azure Kubernetes Service (AKS) instances, or other Azure resources.
Introduction to Firewalls and Network Security Groups: Introduce firewalls and Network Security Groups (NSGs) as essential components for controlling inbound and outbound traffic to Azure resources, ensuring network security and compliance.
Lab: Configuring Load Balancers and Firewalls in Azure: Engage in a hands-on lab to configure Azure Load Balancer for load distribution and Network Security Groups for access control and security policies in an Azure environment.
These objectives provide a comprehensive overview of networking fundamentals, load balancing, firewall, and network security concepts in the context of DevOps, along with practical experience in configuring load balancers and firewalls in Azure.

Week 4: CI/CD Tools, Docker, and Kubernetes

Continuous Integration and Continuous Deployment (CI/CD) Overview: Understand the concepts of CI/CD and its importance in automating the software delivery process to achieve faster, more reliable releases.
Introduction to Docker: Containers and Images: Explore Docker technology, including containers and images, and understand how Docker facilitates application packaging, isolation, and portability.
Orchestrating Containers with Azure Kubernetes Service (AKS): Learn about Azure Kubernetes Service (AKS) as a managed Kubernetes service in Azure and its role in orchestrating containerized applications for scalability and automation.
Lab: Setting Up a Docker Environment, Deploying Containers: Engage in a hands-on lab to set up a Docker environment, including installing Docker Desktop or Docker Engine, and deploying containers locally.
Lab: Azure Kubernetes Basics, Deploying Applications: Participate in a lab to learn the basics of Azure Kubernetes Service (AKS), including cluster creation, deployment of applications using Kubernetes manifests, and basic cluster management tasks.
These objectives provide a comprehensive overview of CI/CD, Docker, Azure Kubernetes Service, and hands-on experience in setting up Docker environments, deploying containers, and working with Azure Kubernetes Service.

Week 5: Azure DevOps, SonarQube, Docker Hub, and Maven

Deep Dive into Azure DevOps: Building, Testing, and Deploying: Explore Azure DevOps services and tools for building, testing, and deploying applications, including Azure Pipelines, Azure Repos, and Azure Artifacts.
Introduction to Code Quality with SonarQube: Understand the importance of code quality in software development and learn how SonarQube helps in analyzing code for bugs, vulnerabilities, and code smells.
Docker Hub: Managing Docker Images and Repositories: Learn how to use Docker Hub as a registry for managing Docker images and repositories, including image versioning, access control, and collaboration features.
Maven: Managing Dependencies and Building Java Projects: Gain proficiency in using Maven as a build automation tool for managing dependencies, compiling, testing, and packaging Java projects.
Lab: Setting Up Azure DevOps Pipelines, Integrating SonarQube: Hands-on lab to set up Azure DevOps pipelines for building, testing, and deploying applications, and integrating SonarQube for code quality analysis within the pipeline.
These objectives provide a comprehensive overview of essential tools and practices for building, testing, and deploying applications in a DevOps environment, with a focus on Azure DevOps, SonarQube, Docker Hub, and Maven.

Week 6: CI/CD Automation, VCS with Azure DevOps Repos

Automating CI/CD Pipelines: Benefits and Practices: Understand the benefits of automating CI/CD pipelines in software development, and explore best practices for implementing automated build, test, and deployment processes.
Version Control Systems (VCS): Git and Azure Repos: Learn the fundamentals of version control systems (VCS), focusing on Git and Azure Repos, including branching strategies, pull requests, and merging workflows.
Creating and Managing Repositories in Azure DevOps: Explore the capabilities of Azure DevOps for creating and managing repositories, including setting up permissions, branch policies, and integrations with development tools.
Lab: Automating Build, Test, and Deployment Pipelines with Azure DevOps: Engage in a hands-on lab to automate the build, test, and deployment pipelines using Azure DevOps, incorporating version control, build triggers, testing frameworks, and deployment strategies.
These objectives provide a comprehensive overview of essential practices and tools for automating CI/CD pipelines, version control with Git and Azure Repos, and managing repositories in Azure DevOps, with a practical lab to reinforce learning and skills development.

Week 7: Observability with Azure Monitor and Application Insights

Introduction to Observability in DevOps: Understand the concept of observability in DevOps, which encompasses logging, monitoring, and tracing, and its importance in maintaining system health and performance.
Monitoring and Alerting Concepts: Explore the fundamentals of monitoring and alerting, including defining key performance indicators (KPIs), setting thresholds, and configuring alerts to detect and respond to system issues proactively.
Monitoring with Azure Monitor and Grafana: Learn about Azure Monitor as a comprehensive monitoring solution for Azure resources, and Grafana as a popular open-source tool for visualizing and analyzing metrics from various data sources.
Lab: Setting Up Azure Monitor for Monitoring, Creating Dashboards in Grafana: Engage in a hands-on lab to set up Azure Monitor for monitoring Azure resources, configure metrics and alerts, and integrate Grafana to create custom dashboards for visualizing performance metrics and trends.
These objectives provide a comprehensive overview of observability concepts in DevOps, monitoring and alerting practices, and practical implementation with Azure Monitor and Grafana, with a focus on hands-on experience through the lab activity.

Week 8: Infrastructure as Code (IaC) with Terraform and Ansible for Azure

Introduction to Infrastructure as Code (IaC): Understand the concept of Infrastructure as Code (IaC) and its benefits in managing infrastructure through code, including increased consistency, repeatability, and automation.
Using Terraform to Provision and Manage Infrastructure in Azure: Learn how to use Terraform, an open-source infrastructure as code software tool, to define and provision infrastructure resources in Azure using declarative configuration files.
Automating Configuration Management with Ansible: Explore Ansible as a configuration management and automation tool, and learn how to use it to automate the configuration and management of servers and applications in Azure environments.
Introduction to Azure Resource Manager (ARM) Templates: Gain familiarity with Azure Resource Manager (ARM) Templates, which are JSON files used to define the infrastructure and configuration of Azure resources, and their role in automating resource deployment and management.
Lab: Creating Infrastructure with Terraform in Azure, Configuration Management with Ansible: Engage in a hands-on lab to provision infrastructure in Azure using Terraform, and automate configuration management tasks using Ansible, demonstrating the practical application of IaC and automation concepts.
These objectives provide a comprehensive overview of Infrastructure as Code (IaC) principles and tools such as Terraform and Ansible, along with Azure Resource Manager (ARM) Templates, with a focus on practical implementation through the lab activity.

Week 9: Monitoring and Alerting with Azure Monitor and Azure Log Analytics

Deep Dive into Azure Monitor for Monitoring and Observability: Explore the capabilities of Azure Monitor as a comprehensive monitoring solution for Azure resources and applications, encompassing metrics, logs, and traces for observability.
Setting Up Monitoring Agents and Integrations: Learn how to deploy and configure monitoring agents and integrations for various Azure services and external sources to collect telemetry data for monitoring and analysis.
Creating Alerts and Dashboards in Azure Monitor: Understand how to define and configure alerts in Azure Monitor based on metrics and logs, and create custom dashboards to visualize key performance indicators (KPIs) and monitor system health.
Lab: Configuring Monitoring and Alerts in Azure Monitor: Engage in a hands-on lab to configure monitoring and alerts in Azure Monitor, including deploying monitoring agents, defining alert rules, and creating custom dashboards to monitor and troubleshoot a simulated environment.
These objectives provide a comprehensive overview of Azure Monitor for monitoring and observability, including setting up monitoring agents, creating alerts, dashboards, and practical implementation through the lab activity.

Week 10: Cloud-Native Application Deployment in Azure

Introduction to Cloud-Native Applications: Understand the principles and characteristics of cloud-native applications, including microservices architecture, scalability, resilience, and agility.
Architecting a 3-Tier Application Infrastructure in Azure: Learn how to design and architect a 3-tier application infrastructure in Azure, including front-end web servers, application servers, and database servers, leveraging Azure services such as Azure App Service, Azure SQL Database, and Azure Virtual Network.
Container Orchestration for Cloud-Native Deployments with AKS: Explore container orchestration with Azure Kubernetes Service (AKS) and understand how it enables the deployment, scaling, and management of containerized applications in a cloud-native environment.
Lab: Designing and Deploying a 3-Tier Application in Azure: Engage in a hands-on lab to design and deploy a 3-tier application in Azure, including setting up infrastructure components, containerizing application services, and orchestrating deployment with AKS, demonstrating the practical application of cloud-native concepts and tools.
These objectives provide a comprehensive overview of cloud-native applications, architecture design in Azure, container orchestration with AKS, and practical implementation through the lab activity.

Week 11: End-to-End CI/CD Pipeline with Docker and Kubernetes

Building an End-to-End CI/CD Pipeline with Azure DevOps: Understand the components and stages of a CI/CD pipeline, and learn how to set up and automate each stage using Azure DevOps, including source control, build, test, and deployment.
Containerization with Docker for Consistency: Explore Docker as a containerization platform and learn how to containerize applications using Docker, ensuring consistency and portability across different environments.
Deploying to Azure Kubernetes Service (AKS) for Scalability and Orchestration: Understand the benefits of using Azure Kubernetes Service (AKS) for deploying and orchestrating containerized applications, and learn how to deploy applications to AKS for scalability and efficient resource utilization.
Integrating Machine Learning into DevOps Workflows: Explore the integration of machine learning models and pipelines into DevOps workflows, including versioning, testing, and deployment strategies for machine learning applications.
Lab: Creating and Automating a Full CI/CD Pipeline with Docker and AKS in Azure: Engage in a hands-on lab to create and automate a full CI/CD pipeline using Azure DevOps, Docker for containerization, and Azure Kubernetes Service (AKS) for deployment, demonstrating end-to-end automation of application delivery in Azure.
These objectives provide a comprehensive overview of building an end-to-end CI/CD pipeline with Azure DevOps, containerization with Docker, deploying to Azure Kubernetes Service (AKS), integrating machine learning into DevOps workflows, and practical implementation through the lab activity.

Week 12: Career Path and Final Discussions

Exploring DevOps Career Paths and Opportunities: Discuss various career paths within the DevOps domain, including roles such as DevOps Engineer, Site Reliability Engineer (SRE), Release Manager, and Continuous Integration/Continuous Deployment (CI/CD) Specialist. Explore industry trends, required skills, and potential growth opportunities in DevOps-related roles.
Reflecting on the Course Journey and Achievements: Provide a structured opportunity for participants to reflect on their learning journey throughout the course, including challenges overcome, new skills acquired, and accomplishments achieved. Encourage participants to share their experiences and insights gained from the course.
Refreshing Key Concepts and Takeaways: Recap key concepts, methodologies, tools, and best practices covered throughout the course, ensuring participants have a solid understanding of fundamental DevOps principles and techniques. Review important takeaways and lessons learned to reinforce learning outcomes.
Open Discussion: Questions, Sharing Experiences, and Future Goals: Facilitate an open discussion session where participants can ask questions, share their experiences implementing DevOps practices in their organizations, and discuss their future career goals and aspirations in the DevOps field. Encourage peer-to-peer learning and collaboration.
These objectives provide a comprehensive framework for wrapping up the course, allowing participants to explore career opportunities, reflect on their learning journey, refresh key concepts, and engage in an open discussion to further their understanding and set future goals in the DevOps domain.

DevOps – Azure

Course Overview

Course Curriculum

Week 1: DevOps Principles, Benefits, and Challenges

Introduction to DevOps: Concepts and Practices: Provide an overview of DevOps principles, methodologies, and practices, emphasizing the collaboration between development and operations teams to automate and streamline software delivery processes.

Understanding the DevOps Culture and Collaboration: Explore the cultural aspects of DevOps, including the importance of communication, collaboration, and shared responsibility across teams to foster a culture of trust, transparency, and continuous improvement.

Benefits of DevOps Transformation: Faster Releases, Improved Collaboration, etc.: Discuss the benefits of adopting DevOps practices, such as accelerated release cycles, increased deployment frequency, improved collaboration between teams, enhanced product quality, and faster time-to-market.

Challenges in Adopting DevOps: Resistance, Cultural Shift, etc.: Identify common challenges organizations may face when transitioning to DevOps practices, including resistance to change, organizational silos, cultural barriers, skill gaps, and legacy infrastructure.

These objectives provide a comprehensive overview of DevOps concepts, culture, benefits, and challenges, setting the foundation for further exploration and discussion in the course.

Week 2: Cloud Computing and Azure Services

Introduction to Cloud Computing and its Importance in DevOps: Provide an overview of cloud computing concepts and its significance in DevOps practices, including scalability, flexibility, and cost-efficiency.

Microsoft Azure Overview: Introduce Microsoft Azure as a leading cloud computing platform, covering its key features, services, and benefits for DevOps teams, such as Azure DevOps services, Azure App Service, and Azure Kubernetes Service (AKS).

Working with Azure Virtual Machines: Explore Azure Virtual Machines (VMs) as Infrastructure as a Service (IaaS) offerings, including provisioning, configuring, and managing VMs in the Azure portal or through Azure CLI.

Lab: Deploying an Application, Understanding IP Addresses and Subnets: Engage in a hands-on lab to deploy a sample application on Azure Virtual Machines, while gaining an understanding of IP addressing and subnetting concepts in Azure networking.

These objectives provide a comprehensive introduction to cloud computing, Microsoft Azure, Azure Virtual Machines, and practical experience deploying applications in an Azure environment.

Week 3: Networking, Load Balancing, and Firewalls in Azure

Networking Fundamentals in the Context of DevOps: Cover basic networking concepts relevant to DevOps, including IP addressing, subnetting, DNS, routing, and network protocols.

Load Balancing Concepts and Strategies: Explore load balancing principles and strategies for distributing traffic across multiple servers or instances to improve performance, availability, and scalability.

Implementing Load Balancing in Azure: Discuss Azure Load Balancer as a service for load balancing incoming internet traffic to virtual machines, Azure Kubernetes Service (AKS) instances, or other Azure resources.

Introduction to Firewalls and Network Security Groups: Introduce firewalls and Network Security Groups (NSGs) as essential components for controlling inbound and outbound traffic to Azure resources, ensuring network security and compliance.

Lab: Configuring Load Balancers and Firewalls in Azure: Engage in a hands-on lab to configure Azure Load Balancer for load distribution and Network Security Groups for access control and security policies in an Azure environment.

These objectives provide a comprehensive overview of networking fundamentals, load balancing, firewall, and network security concepts in the context of DevOps, along with practical experience in configuring load balancers and firewalls in Azure.

Week 4: CI/CD Tools, Docker, and Kubernetes

Continuous Integration and Continuous Deployment (CI/CD) Overview: Understand the concepts of CI/CD and its importance in automating the software delivery process to achieve faster, more reliable releases.

Introduction to Docker: Containers and Images: Explore Docker technology, including containers and images, and understand how Docker facilitates application packaging, isolation, and portability.

Orchestrating Containers with Azure Kubernetes Service (AKS): Learn about Azure Kubernetes Service (AKS) as a managed Kubernetes service in Azure and its role in orchestrating containerized applications for scalability and automation.

Lab: Setting Up a Docker Environment, Deploying Containers: Engage in a hands-on lab to set up a Docker environment, including installing Docker Desktop or Docker Engine, and deploying containers locally.

Lab: Azure Kubernetes Basics, Deploying Applications: Participate in a lab to learn the basics of Azure Kubernetes Service (AKS), including cluster creation, deployment of applications using Kubernetes manifests, and basic cluster management tasks.

These objectives provide a comprehensive overview of CI/CD, Docker, Azure Kubernetes Service, and hands-on experience in setting up Docker environments, deploying containers, and working with Azure Kubernetes Service.

Week 5: Azure DevOps, SonarQube, Docker Hub, and Maven

Deep Dive into Azure DevOps: Building, Testing, and Deploying: Explore Azure DevOps services and tools for building, testing, and deploying applications, including Azure Pipelines, Azure Repos, and Azure Artifacts.

Introduction to Code Quality with SonarQube: Understand the importance of code quality in software development and learn how SonarQube helps in analyzing code for bugs, vulnerabilities, and code smells.

Docker Hub: Managing Docker Images and Repositories: Learn how to use Docker Hub as a registry for managing Docker images and repositories, including image versioning, access control, and collaboration features.

Maven: Managing Dependencies and Building Java Projects: Gain proficiency in using Maven as a build automation tool for managing dependencies, compiling, testing, and packaging Java projects.

Lab: Setting Up Azure DevOps Pipelines, Integrating SonarQube: Hands-on lab to set up Azure DevOps pipelines for building, testing, and deploying applications, and integrating SonarQube for code quality analysis within the pipeline.

These objectives provide a comprehensive overview of essential tools and practices for building, testing, and deploying applications in a DevOps environment, with a focus on Azure DevOps, SonarQube, Docker Hub, and Maven.

Week 6: CI/CD Automation, VCS with Azure DevOps Repos

Automating CI/CD Pipelines: Benefits and Practices: Understand the benefits of automating CI/CD pipelines in software development, and explore best practices for implementing automated build, test, and deployment processes.

Version Control Systems (VCS): Git and Azure Repos: Learn the fundamentals of version control systems (VCS), focusing on Git and Azure Repos, including branching strategies, pull requests, and merging workflows.

Creating and Managing Repositories in Azure DevOps: Explore the capabilities of Azure DevOps for creating and managing repositories, including setting up permissions, branch policies, and integrations with development tools.

Lab: Automating Build, Test, and Deployment Pipelines with Azure DevOps: Engage in a hands-on lab to automate the build, test, and deployment pipelines using Azure DevOps, incorporating version control, build triggers, testing frameworks, and deployment strategies.

These objectives provide a comprehensive overview of essential practices and tools for automating CI/CD pipelines, version control with Git and Azure Repos, and managing repositories in Azure DevOps, with a practical lab to reinforce learning and skills development.

Week 7: Observability with Azure Monitor and Application Insights

Introduction to Observability in DevOps: Understand the concept of observability in DevOps, which encompasses logging, monitoring, and tracing, and its importance in maintaining system health and performance.

Monitoring and Alerting Concepts: Explore the fundamentals of monitoring and alerting, including defining key performance indicators (KPIs), setting thresholds, and configuring alerts to detect and respond to system issues proactively.

Monitoring with Azure Monitor and Grafana: Learn about Azure Monitor as a comprehensive monitoring solution for Azure resources, and Grafana as a popular open-source tool for visualizing and analyzing metrics from various data sources.

Lab: Setting Up Azure Monitor for Monitoring, Creating Dashboards in Grafana: Engage in a hands-on lab to set up Azure Monitor for monitoring Azure resources, configure metrics and alerts, and integrate Grafana to create custom dashboards for visualizing performance metrics and trends.

These objectives provide a comprehensive overview of observability concepts in DevOps, monitoring and alerting practices, and practical implementation with Azure Monitor and Grafana, with a focus on hands-on experience through the lab activity.

Week 8: Infrastructure as Code (IaC) with Terraform and Ansible for Azure

Introduction to Infrastructure as Code (IaC): Understand the concept of Infrastructure as Code (IaC) and its benefits in managing infrastructure through code, including increased consistency, repeatability, and automation.

Using Terraform to Provision and Manage Infrastructure in Azure: Learn how to use Terraform, an open-source infrastructure as code software tool, to define and provision infrastructure resources in Azure using declarative configuration files.

Automating Configuration Management with Ansible: Explore Ansible as a configuration management and automation tool, and learn how to use it to automate the configuration and management of servers and applications in Azure environments.

Introduction to Azure Resource Manager (ARM) Templates: Gain familiarity with Azure Resource Manager (ARM) Templates, which are JSON files used to define the infrastructure and configuration of Azure resources, and their role in automating resource deployment and management.

These objectives provide a comprehensive overview of Infrastructure as Code (IaC) principles and tools such as Terraform and Ansible, along with Azure Resource Manager (ARM) Templates, with a focus on practical implementation through the lab activity.

Week 9: Monitoring and Alerting with Azure Monitor and Azure Log Analytics

Deep Dive into Azure Monitor for Monitoring and Observability: Explore the capabilities of Azure Monitor as a comprehensive monitoring solution for Azure resources and applications, encompassing metrics, logs, and traces for observability.

Setting Up Monitoring Agents and Integrations: Learn how to deploy and configure monitoring agents and integrations for various Azure services and external sources to collect telemetry data for monitoring and analysis.

Creating Alerts and Dashboards in Azure Monitor: Understand how to define and configure alerts in Azure Monitor based on metrics and logs, and create custom dashboards to visualize key performance indicators (KPIs) and monitor system health.

Lab: Configuring Monitoring and Alerts in Azure Monitor: Engage in a hands-on lab to configure monitoring and alerts in Azure Monitor, including deploying monitoring agents, defining alert rules, and creating custom dashboards to monitor and troubleshoot a simulated environment.

These objectives provide a comprehensive overview of Azure Monitor for monitoring and observability, including setting up monitoring agents, creating alerts, dashboards, and practical implementation through the lab activity.

Week 10: Cloud-Native Application Deployment in Azure

Introduction to Cloud-Native Applications: Understand the principles and characteristics of cloud-native applications, including microservices architecture, scalability, resilience, and agility.

Container Orchestration for Cloud-Native Deployments with AKS: Explore container orchestration with Azure Kubernetes Service (AKS) and understand how it enables the deployment, scaling, and management of containerized applications in a cloud-native environment.

These objectives provide a comprehensive overview of cloud-native applications, architecture design in Azure, container orchestration with AKS, and practical implementation through the lab activity.

Week 11: End-to-End CI/CD Pipeline with Docker and Kubernetes

Building an End-to-End CI/CD Pipeline with Azure DevOps: Understand the components and stages of a CI/CD pipeline, and learn how to set up and automate each stage using Azure DevOps, including source control, build, test, and deployment.

Containerization with Docker for Consistency: Explore Docker as a containerization platform and learn how to containerize applications using Docker, ensuring consistency and portability across different environments.

Deploying to Azure Kubernetes Service (AKS) for Scalability and Orchestration: Understand the benefits of using Azure Kubernetes Service (AKS) for deploying and orchestrating containerized applications, and learn how to deploy applications to AKS for scalability and efficient resource utilization.

Integrating Machine Learning into DevOps Workflows: Explore the integration of machine learning models and pipelines into DevOps workflows, including versioning, testing, and deployment strategies for machine learning applications.

These objectives provide a comprehensive overview of building an end-to-end CI/CD pipeline with Azure DevOps, containerization with Docker, deploying to Azure Kubernetes Service (AKS), integrating machine learning into DevOps workflows, and practical implementation through the lab activity.

Week 12: Career Path and Final Discussions

These objectives provide a comprehensive framework for wrapping up the course, allowing participants to explore career opportunities, reflect on their learning journey, refresh key concepts, and engage in an open discussion to further their understanding and set future goals in the DevOps domain.

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